Precision Ag Technology Tune-ups

Cooler temperatures this March have resulted in planting dates being pushed back across much of the state in comparison to 2012. Many producers who are ready to get into the field should consider using this time to double check their application equipment, especially those who use precision agriculture technologies. Examples include simple rate controllers that compensate for ground speed variation, automatic section control systems which reduce overlap, or variable-rate application systems. Whether you’re spreading, planting, or spraying, pre-season updates and calibration of your application equipment will help to minimize errors.
Field application using precision ag technology

Global positioning systems (GPS) are an essential component for almost every piece of precision technology that we use in the field today. It’s important that your GPS receiver’s firmware (software that controls the receiver) is up to date. Many manufacturers will usually let you know when an update is available; however, it’s always a good idea to check the version that’s currently installed on your GPS unit to make sure it’s current.

Updating firmware on many GPS systems is often as easy as downloading the firmware file to a USB drive and then uploading it to your receiver. Another component that may be common to application equipment is a ground speed radar (GSR). The main function of the GSR is typically to inform the rate controller so it can adjust for any changes in ground speed. Yearly calibration is recommended (check the manufacturer specifications). It’s also important to ensure that the GSR is mounted securely to the vehicle frame so that there’s no movement during field application.

Measurement of offsets from the GPS antennae to any equipment is another important procedure during equipment setup. For example, sprayers with automatic section control require a measurement from the GPS antenna to the boom centerline. This ensures that boom sections are turned off when they (not the GPS antennae) pass over previously sprayed areas. Similar measurements are necessary for planters and spreaders to minimize skips and overlaps at the end of the passes.

Calibration of these systems is also critical for proper performance. Distribution tests should be performed for spinner spreaders to ensure that a proper pattern is being achieved, keeping in mind that different products may require their own calibration and swath settings because of density and particle sizes. For sprayers, verify that nozzles are within 5% of the manufacturer’s flow rate at a given pressure. If possible, perform a flow meter calibration to confirm that actual output doesn’t differ from the spray rate controller flow value. Seed drop tests can help evaluate the planter’s ability to maintain proper seed populations.

When calibrating any of the systems mentioned above, it’s important to remember that application errors will typically be less at the settings (speed and target rate, for example) chosen for the calibration. It’s a good idea to select those calibration settings close to values that you will try to use out in the field. Performing additional checks at higher or lower settings may help you evaluate the potential for error when you deviate from your typical field operating ranges.

While technology has come a long way over the past few years, it won’t solve all of our application problems; proper maintenance and management is still a must for minimizing your field errors.

This article is brought to you by the University of Nebraska, written by Extension Precision Agricultural Engineer, Joe Luck.

Foam markers still leaving their mark as backup

With the ever evolving advances in technology, it is easy to overlook some of the simpler ways that were once considered revolutionary. Foam markers, while considered outdated by some, are still a practical feature for many to add on to your self-propelled sprayer.

Before the days of navigation systems and AutoSteer, foam markers where one of the first precision agriculture technologies developed to assist farmers with spray applications to help increase efficiency of applications.

source: http://www.smuckermfg.net/Pages/FoamMarkers.aspx

According to the Virginia Tech Extension publication Precision Farming Tools: GPS Navigation, foam markers are the most common form of navigation aid used during fertilizer and pesticide application.

Even though more modern technology allows for more precise accuracy and has the ability to perform more functions, many farmers still like the reassurance that the foam markers bring. It provides the applicator with a visual in the fields as well as serves as a backup plan if something were to go wrong with the GPS system.

Since malfunctioning technology can put a halt to spraying, many applicators see the value in foam markers to help prevent delays in the field.

How do foam markers work?

Using an air pump to pressurize the tank that carries the foaming agent, the fluid then flows into an accumulating chamber. Here the foam collects in the chamber until the foam overcomes the surface tension which causes the foam to fall to the ground.

Foam markers drop foam that is used to align the sprayer during the returning pass. The foam is used as a navigation aid to know where the applicator has already passed. This helps to reduce the risk of under and over application.

While there are many other more advanced options for tracking application in the field, foam markers still hold a great deal of value to many applicators. The low cost involved with purchase makes it easy to justify the added value foam markers bring to your sprayer.

With drones, the sky is the limit

Technology in agriculture is soaring high with precision in mind.

Drones are quickly becoming the future in precision agriculture. Their light weight design and ability to quickly gather data make drones an increasingly popular topic in precision farming technology. Some of the applications for drones in precision agriculture include monitoring plant health, nutrient and water levels and field mapping.

According to Kansas State University agronomy professor Kevin Price in a Farm Progress article, aerial sensing with the hexacopter, can cut mapping time down from hours or days if done on a tractor to only 18 minutes for an entire section of land.

source: http://farmprogress.com/customPage.aspx?p=83

Not only is the data collected faster, but Price added, it is more precise than satellite imaging and can allow growers to take readings at the individual plat leaf level. This means data can be collected for each plant and not just a general area. Pinpointing problem areas can help applicators find problem spots.

Unmanned Aerial Vehicles (UAV) are not currently allowed to operate in national airspace due to regulations set by the Federal Aviation Administration (FAA), but the administration does allow for special certification for universities to test whether UAVs can integrate into national airspace safely.

The drone designed by The Ohio State University spans across six feet and only weighs about 15 pounds, but can travel at speeds up to 150 mph or image about 5,000 acres on a single flight. According to the Dayton Daily News, the drone is made from carbon fiber and can be launched by hand.

source: http://www.daytondailynews.com/news/news/local/osu-seesfarminguses-fordrones/nSD99/

Currently, other countries such as Japan are already using drones in their agriculture industry. In a Western Farm Press article, it reports that growers in Japan uses UAVs to spray 30 percent of their rice fields.

Outside of agriculture, drones are making headway as well. Drones were first used in military applications and are expected to be used by law enforcement in the future; again, regulations will first need to be established with the FAA.

Aside from integrating the technology into national airspace, the use of drones brings up other issues such as privacy. Privacy laws and regulations will become increasingly important as these unmanned robots start to take off.

For more information about drones, check out these links:

http://www.suasnews.com/2013/03/21652/kansas-to-see-major-economic-impact-from-unmanned-aerial-systems-industry/

http://www.insidehighered.com/news/2013/02/27/more-universities-use-drones-research-privacy-concerns-remain

http://gizmodo.com/5904723/here-are-the-61-organizations-with-permission-to-fly-drones

The SpotOn line up brought to you by Innoquest

Innoquest has developed a line of products designed to assist the applicator with applying accurate flow rates. The SpotOn brand was created in 2008 with spraying precision in mind. The SpotOn products available on SpraySmarter.com include:

  • Sprayer Calibrator
  • Irrigation Nozzle Flow Meter
  • Mini-Patternator
  • Pressure Tester
  • Catch Can Reader
  • Nozzle Cleaner

Sprayer Calibrator

This digital calibration system allows you to test for spray nozzle output in approximately ten seconds, verify sprayer operation choose the correct nozzle for your application and detect worn nozzles. The SpotOn Sprayer Calibrator is a lightweight, fast product that is designed to be waterproof.

The digital calibrator allows for a one-handed operation and can be stored just about anywhere since it is so small. Click here for more information about the SpotOn Sprayer Calibrator on SpraySmarter.com.

Irrigation Nozzle Flow Meter

The irrigation nozzle flow meter allows the user to find flow rates which helps determine nozzle wear, regulator problems or obstructions. No additional plumbing or fittings are required to operate this flow meter. Check out more features and specs of the SpotOn Irrigation Nozzle Flow Meter on SpraySmarter.com.

Mini-Patternator

Saving you time, the mini-patternator by SpotOn allows you to visualize your spray pattern and spray tip coverage quickly. This product is designed to perform most readings in fewer than ten seconds. As the spray flow is coming into the mini-patternator, the water levels are highlighted by floating balls. This displays the actual spray pattern that is coming from the spray tip.

Learn more about purchasing the SpotOn Mini-Patternator on SpraySmarter.com.

Pressure Tester

The Spot-On pressure tester allows you to measure nozzle pressure instantly without shutting down your sprayer. By using this pressure tester, you will be able to save time in the fields since you won’t have to shut your machine off everytime you want to test your pressure.

To use this product, insert the micro-fine stainless steel needle directly into the nozzle orifice, and this will allow you to measure the nozzle’s pressure supply. Check out the SpotOn Pressure Tester on SpraySmarter.com.

Catch Can Reader

By allowing you to automate your catch can work, you can rapidly determine spray nozzle or irrigation performance using the SpotOn catch can reader. This system is designed to give accurate readings every 15 seconds. Using the catch can reader will allow you to automatically calculate the amount of irrigation, coefficient of variation and it saves all of the data in memory so you can download it to a computer.

Using the catch can reader is simple and only requires five steps before you are all set to use it. Check out more specs and features of the SpotOn Catch Can Reader on SpraySmarter.com.

Nozzle Cleaner

The most recent SpotOn addition to SpraySmarter.com, the nozzle cleaner is a handheld device that unclogs spray tips. In three simple steps, you can effectively clear out your spray tips. Since the SpotOn nozzle cleaner is manually operated, it makes it easy to use with no down time for charging batteries.

Click here to order your SpotOn Nozzle Cleaner from SpraySmarter.com.

SpotOn products are designed to assist users by using precise calibration which allows applicators to maintain a more accurate flow rate. In turn, this allows for a more precise and exact application in the fields.

Advancements in precision increase farm efficiency

It’s no secret that precision technology is saving farmers both money and time in the fields, but it wasn’t very long ago that the term “precision agriculture” was new to the scene. Starting with some basic precision ag technology, such as light bar guidance, to more advanced technologies, including autosteer and telematics, this equipment has helped growers increase operational efficiency through greater accuracy with planting and spray applications.

What is precision agriculture?

Precision agriculture is the use of technology to help manage in-field variability. While today’s precision ag uses more advanced technologies like satellites and computer software, early precision ag was simple.

There are many components that make up precision agriculture, so it can’t be defined as just one type of technology. Some of the different pieces of precision ag include field mapping, data collecting, soil sampling and variable rate control. Precision ag utilizes a variety of different pieces to determine how to get the most efficient yield out of the field.

Important Precision Advances

The spray application sector has relied heavily on precision agriculture technology to advance the efficiency of applications. As the technology advances, it continues to assist applicators make the most out of their applications. Here are a few of the major technologies that have been beneficial to spray applicators:

Global Positioning Systems (GPS)

GPS has helped to quickly advance the possibilities in precision agriculture and has made other technologies, such as automatic steering control, a reality. GPS guidance systems allow applicators to identify which areas of the field have already been sprayed, which in turn cuts down on problems associated with under or over application. Data logging, including chemical records and application rates in the field, became part of the norm.

Automatic Steering Control and Automatic Boom Section Shut-Off

With the advancements of GPS guidance, the ability to use automatic steering control also became possible. This system allows the operator to set up an A|B line as guidance for the system to follow.

Automatic Rate Controller

Working in conjunction with a flow meter, control valve and speed sensor, the automatic rate controller allows the applicator to control the application rate by specifying the desired rate. The system calculates necessary adjustments needed to stay on target.

Automatic Boom Height Leveling

With the option of two different styles, automatic boom height leveling helps protect booms from costly damage and helps prevent driver fatigue. The simpler boom height leveling option uses a gauge wheel to determine the ground height; however, the other option involves the use of ultrasonic sensors that read the height of the boom off the ground or off the crop canopy.

Why has precision agriculture become so wide spread?

The ability to cut down on input costs while increasing yields, makes precision agriculture desirable to a grower. Additionally, some form of precision agriculture can be used on just about any size of farm to help improve operation efficiency.

As the size of farms grows, the automation of many newer, precision technologies allows for more accuracy.

What’s the future for precision agriculture?

Two increasingly popular topics in precision agriculture include the use of telematics and drones.

Telematics is a technology that allows for wireless data transfer, remote diagnostics and remote dealer support to name a few of the available features. Trimble and Raven both offer a telematics system to growers. Trimble’s is called Connected Farm, and Raven’s is Slingshot.

Drones, or unmanned aerial vehicles, are currently being tested at universities to see whether the UAVs can be used safely in national airspace. The drones can help farmers determine changes in water content, plant health and pesticide dispersal in fields, according to researchers at The Ohio State University in an AgWeb.com article.

Satellite-Based Auto-Guidance

The rapidly rising cost of farm inputs persuades cost-conscious producers to search for new ways to minimize the use of energy and various consumable materials. For many, precision agriculture has been a focal point of their quest. The one area of precision agriculture that has received overwhelming attention in the past few years is the technology of auto-steer or, more generally, auto-guidance.

Recently, rising energy costs and more reasonably priced auto-guidance systems have made a clearer cost justification for investment in this new technology. As many of the benefits of auto-guidance technology become increasingly evident early adopters continue discovering additional advantage. The most obvious rewards are reduced skips and overlaps, lower operator fatigue, and an ability to work in lower visibility conditions. In addition, as the systems being offered are refined and simplified, the skills needed to operate them have diminished. With the recognized shortage of skilled labor, technologies like auto-guidance can be taught in just a few hours, which makes it possible to reduce the overall labor cost.

Evolving Technology

The idea of automated guidance of agricultural vehicles is not new. It has been under development since the 1920s when primitive mechanical systems were installed to steer tractors along a desired track. Later, a variety of local triangulation systems allowed implementation of electronics to make such guidance more reliable and applicable in diverse conditions.

Additional innovations have involved vehicle guidance with respect to row crops using laser sensors, mechanical feelers and machine vision approaches. Currently, interest in guided machinery that uses range measuring sensors is growing in situations, such as orchards, where the applicability of navigation satellite technology has been limited. In field crop production, however, the guidance of agricultural vehicles using satellite-based positioning equipment (e.g., GPS receivers) has rapidly expanded during the last decade.

The benefits of satellite-based guidnace include: reduced skips and overlaps, ability to work in conditions of poor visibility, negligible set up nad service time, ease of use and more. Today, numerous farmers have suspended the use of conventional markers from their operations and rely on cost-effective alternative methods to steer their farm equipment based on continuously measured geographic coordinates.

There are three levels of automation for steering an agricultural vehicle, including: 1) navigation aids, 2) auto-guidance, and 3) field robots. Relatively inexpensive navigation aids, known as parallel tracking devices or, more commonly, lightbars, are being used by operators to visualize their position with respect to previous passes and to recognize the need to make steering adjustments if a measured geographic position deviates from the desired track.

More advanced auto-guidance options include similar capabilities with the additional option of automatically steering the vehicle using either an integrated electro-hydraulic control system or a mechanical steering device installed inside the cab. When implementing an auto-guidance option, the operator takes control during turns and other maneuvers and oversees equipment performance when the auto-guidance mode is engaged.

Finally, with autonomous vehicles, the operator’s presence on board is not required and the entire operation is controlled remotely (via wireless communication) or in robotic mode. This can be beneficial, for example, when applying chemicals that are hazardous to human health. The greatest liability of autonomous vehicles, improper response in unpredictable field situations, has been the major drawback of robotic agriculture. Therefore, auto-guidance has been recognized as the most promising option for today’s farming operations.

After browsing through information from different vendors of auto-guidance systems (some of the most popular products are listed in Table I), producers can purchase either factory-installed or after-market equipment packages with costs ranging between $7,000 and $35,000, which typically include: positioning sensor (GPS receiver), controller, user interface module, attitude (vehicle orientation in space) and steering feedback sensors, and a steering actuator. The most expensive systems also include the base station required for the ultimate level of steering precision. Generally, the more expensive products involve positioning sensors with greater accuracy, better compensation for unusual attitude caused by rolling terrain, and more advanced control algorithms.

Positioning Accuracy

As with any application of global navigation satellite systems, the ability to accurately determine geographic coordinates is essential to assure quality performance. Today, three different global satellite navigation systems have been deployed to allow real-time determination of geographic coordinates at every location and any time:

  • Global Position System (GPS) USA
  • GLObal NAvigation Satellite System (GLONASS) Russian Federation
  • European Navigation Satellite System (GALILEO) European Union (under development)

Despite the type of system used, since the radio signal processed by receivers can be affected by several factors (atmospheric interference, configuration of satellites in the sky, time estimation uncertainties, etc.), the applicability of uncorrected position estimates is rather limited. To adjust estimated geographic coordinates in real time, various differential correction services are used. In addition to the differential correction, most receivers apply signal filtering techniques to assure the best possible predictability of antenna location. Based on the quality of differential correction and internal signal processing, positioning receivers used for auto-guidance have been advertised according to the level of anticipated accuracy: sub-meter, decimeter and centimeter.

Sidely used in agriculture nad other industries, single-frequency receivers with sub-meter level accuracy frequently rely on several alternative differential correction services provided by public and private entities. Popular in the past, the Coast Guard differential correction AM radio signal (known more commonly as Beacon) is broadcast through a network of towers located near navigable waters. More recently, Wide Area Augmentation System (WAAS) has been deployed by the Federal Aviation Administration to broadcast a satellite-based differential correction service. A similar service is available through free-of-charge John Deere StarFire I (SFI) and subscription-based OmniSTAR Virtual Base Station (VBS) options.

To achieve decimeter level accuracy, dual-frequency receivers can be used with subscription-based John Deere StarFiree2 (SF2) or OmniSTAR XP/HP differential correction service, or with a local base DGPS station. A local base station is also required to implement a Real Time Kinematic (RTK) differential correction service, which provides the ultimate centimeter level of accuracy. In certain locations around the US, local networks of permanent RTK base stations have been established by private entities to provide fee-based coverage of areas with relatively high demand for superior positioning accuracy.

Although a standardized text procedure is still under development, positioning accuracy claims listed in current advertisement literature frequently originate from a short-term dynamic test (referred to as pass-to-pass accuracy) or a long-term static test (referred to as year-to-year accuracy). Except for RTK-level receivers, pass-to-pass error claims are significantly lower than the year-to-year error estimates. The latter is important when attempting field operations requiring coming back to exact locations at different times. For example, while implementing controlled traffic, strip tillage, or similar techniques, it is necessary to conduct any new operation in strict geometrical relationship to previous tracks. On the other hand, many conventional field operations (e.g., tillage, seeding, chemical application, harvesting) are performed according to a travel pattern in which consecutive parallel passes are made with a fixed swath width. In such cases, every new pass relies only on the previous pass (usually in the opposite direction), and a certain level of tolerance can be accepted in terms of long-term position estimate drifts.

Frequently emphasized pass-to-pass error estimates can be related to the expected skips and overlaps between two passes occurring within a 14-minute time interval .In most instances, the claimed level of error should not be exceeded 95 percent of the time. However, the exact definition of pass-to-pass error may vary from vendor to vendor.

As shown in Table II, both pass-to-pass and year-to-year error estimates are mainly affected by the type of differential correction service. the reason for the diversity in available options is that the cost of equipment and services providing greater level of accuracy is typically higher and certain farm operations can tolerate less accurate and therefore less expensive selections.

It is also known that performance of satellite-based positioning system can be greatly affected by the geometry of satellites in the sky and the quality of signal reception in a given location at certain times. If the number of navigation satellites used to determine geographic location is relatively low (less than 5-6) and/or they are not spread around the sky, the position dilution of precision (PDOP) is low and poor quality performance of any satellite-based positioning device can be expected. Low PDOP can result from an obstacle such as a line of trees at the edge of the field or simply be due to the time of day when the geometry of satellites in the sky is not favorable for a given location. Likely, the latter can be predicted using several Web-based services. Those receivers that are based on G3 technology providing the capability to simultaneously track satellites that belong to different global navigation satellite systems (GPS, GLONASS and GALILEO) would be less likely to suffer from the lack of visible satellites around the clock and when the view of the sky is partially obstructed.

In addition, it is important to maintain quality reception of the differential correction signal. For example, the Coast Guard beacon signal strength diminishes at a distance range of approximately 300-360 km (180 – 220 miles) from the tower. Most communication satellites used to broadcast satellite-based differential correction signals occupy low latitude geostationary orbits, which means that for fields located at northern latitudes, it is important to maintain good visibility of the sky in the southern direction. Keeping the source of the differential correction signal in sight is very important when using a local base station. Signal routers can be used to overcome obstacles such as hills, tall trees, etc. In addition, most manufacturers cannot guarantee superior quality of differential correction at locations more than 10 km (6 miles) away from the base station, which should be considered when developing and/or using a local area network of RTK base stations.

Overall Performance

When adapting auto-guidance to a particular farm operation, it is necessary to understand that positioning error is just one factor causing less than perfect field performance. In addition, the ability to maintain desirable geometric relationships between passes is affected by vehicle dynamics, ability of the field implement to track behind the vehicle, and actual conditions of the field surface. Therefore, poor quality of the steering control system, sloped terrain, or misalignments in the implement will cause the overall field performance to suffer.

Currently, hands-free steering of agricultural vehicles is accomplished using either a steering device attached to the steering column or through an electrohydraulic steering system. An easy-to-setup steering column device can be attached to an existing steering wheel or the steering wheel can be replaced with an actuator module that includes its own steering wheel. Auto-guidance systems integrated with electro-hydraulic steering control circuits alter the travel direction similar to conventional power steering. A control valve is used to properly direct hydraulic oil when a steering adjustment needs to be made. When retrofitting old tractors some manufacturers provide other hydraulic drive components to guarantee the required steering performance It is obvious that actuators adjusting direction of travel through a steering column can be less responsive than those that change the orientation of vehicle wheels directly. In most instances, a wheel angle sensor issued as a steering feedback in addition to the records of heading obtained from the GPS receiver. This makes electro-hydraulic steering systems even more reliable.

Control of vehicle dynamics becomes more challenging when farming sloped ground. Thus, roll (tilt from side to side), pitch (tilt from front to back) and yaw (turn around vertical axis) alter location of the positioning antenna with respect to other parts of the vehicle. For example, when driving along a slope, the horizontal position of the antenna located on the top of a cab shifts to one side of the tractor with respect to the projected center of the tractor. This causes an engaged steering control system to guide the vehicle so that the point directly below the antenna (not the center of the vehicle) would follow the desired pass. To compensate for these attitude-caused challenges, most auto-guidance systems include a combination of gyroscopes and accelerometers or several antennas placed in different locations on the cab. Less advanced terrain compensation modules can deal only with roll and pitch angles, while more sophisticated sensing systems, frequently called 6 -axes, can measure the total dynamic attitude of the vehicle in space.

Vehicle stability and proper alignment of the implement attached to the vehicle are also important when implementing auto-guidance. If a skip followed by an overlap takes place with every alternating pass in the opposite direction when making straight and level trips from one end of the field to the other, offset of the implement with respect to the vehicle and/or a source of a consistent side force can be the reason. However, even a properly adjusted pulled implement will not follow the tracks of the vehicle when making curve passes and/or operating on sloped terrain. In that case the implement will tend to stay close to the center of a turn or shift downward.

Several manufacturers have addressed implement tracking concerns by providing add-on implement steering systems. One such solution allows accurate sensing of the implement’s position with respect to the vehicle and mechanical adjustment of this position using a set of large-diameter disc coulters to overcome the occurring side shift. Additional developments are focused on compensating for known shifts of the implement by adjusting the vehicle’s trajectory to assure proper tracking of the implement instead of the vehicle. Optical and mechanical crop-based guidance systems can also be useful when it comes to the position of the implement with respect to previously established rows.

System Testing

To illustrate the overall performance of several auto-guidance systems for participants of the August 2005 Field Day that took place at the Agricultural Research and Demonstration Center near Mead, Neb., a light test cart was equipped with a coulter and survey-grad RTK-level GPS receiver. Every tractor pulled the test cart along a J-type course starting with a variable radius curved section and continuing into a straight section that contained a portion with significant elevation change. during the return pass, every vehicle was operated along the same pass in the hands-off steering mode. The marks left by a single shank coulter installed in the center of the cart served as a visual illustrator of the overall performance. To confirm these observations, centimeter-level position records were used to calculate the distance between the two tracks in opposite direction.

While pursuing a more representative and reliable testing procedure, another series of tests was accomplished using an improved test cart equipped with a linear potentiometer array sensor. This sensor was able to measure the position of triggers placed around the concrete track of the Nebraska Tractor Test Laboratory with 2-cm accuracy with respect to the center of the cart. As mentioned earlier, the RTK-level centimeter system was found to be immune to time drifts and provided the same estimate for short-term and long-term errors, while the dual-frequency DGPS-level decimeter system presented higher long-term errors.

Similar to the field demo, it was observed that linear potentiometer sensor uncertainties together with inconsistent test cart tracking and vehicle dynamics delay increased the observed errors when compared to corresponding manufacturer claims. Recently, a newer concept for quantifying auto-guidance errors based on a visual sensor system has been developed. An international group of manufacturers, researchers and customers was formed to create a standard that will define guidance error terms and provide basic codes for future tests.

Additional Considerations

Another important feature of any auto-guidance system is its ability to follow a particular traffic pattern, rapidly acquire the desired pass and provide effective feedback to the operator on-board. Although every system can easily perform straight line patterns, some products have difficulty in steering vehicles along contours (such as field terraces). However, it has been noted that upcoming versions of these products include the capability for operating in odd-shaped fields.

Although most auto-guidance systems are designed specifically for the task of vehicle steering, some systems allow using the same hardware to collect spatial data(such as yield maps) or to operate variable rate controllers. Versatility of these units is greater and, therefore, the cost can be spread among several tasks.

In addition, different makes of auto-guidance products frequently can be distinguished by the compactness of different components and the user interface. While some systems cause technical challenges when being installed and calibrated, others may be fully operational in less than one hour. User-interfaces also range from a very intuitive colorful graphic touch-screen display to older menu driven hard-key units with limited graphical feedback.

It has been noted that the skills necessary to properly operate any of the existing systems can be obtained in only a few hours. This allows fast training o flow-skilled operators who may find it difficult to accurately operate field machinery equipped with traditional markers. The quality of field operations has been shown to be independent of previous tractor operation experience when auto-guidance systems are used.

Summary

Satellite-based auto-guidance represents one currently available technology that can provide significant benefits for the crop production industry in diverse growing environments. Once producers use auto-guidance equipment, they seldom want to return to conventional practices. Newer, improved versions of auto-guidance products provide better operation functionality which prevents the frustration and fears that early adopters experienced. The question “Should auto-guidance be used?” has now been replaced with the question “What auto-guidance option is best for a given operation?” Available variety of costs, guidance error level and other technical specifications suggests that virtually every cropping operation may be optimized if the appropriate type of satellite-based auto-guidance is implemented.

Yield Monitoring and Mapping

Insight MonitorYield monitoring equipment was introduced in the early 1990s and is increasingly considered a conventional practice in modern agriculture. The pioneers of precision agriculture already have generated several years of yield history and have examined different ways of interpreting and processing these data.

Yield Mapping Concept

Yield mapping refers to the process of collecting georeferenced data on crop yield and characteristics, such as moisture content, while the crop is being harvested. Various methods, using a range of sensors, have been developed for mapping crop yields.

The basic components of a grain yield mapping system include:

  • Grain flow sensor – determines grain volume harvested
  • Grain moisture sensor – compensates for grain moisture variability
  • Clean grain elevator speed sensor – used by some mapping sytems to improve accuracy of grain flow measurements
  • GPS antenna – receives satellite signal
  • Yield monitor display with a GPS receiver – georeference and record data
  • Header position sensor – distinguishes measurements logged during turns
  • Travel speed sensor – determines the distance the combine travels during a certain logging interval (Sometimes travel speed is measured with a GPS receiver or a radar or ultrasonic sensor.)

Each sensor has to be properly calibrated according to the operator’s manual. Calibration converts the sensor’s signal to physical parameters. A proprietary binary log file is created during harvest to record the output of all sensors as a function of time. This file can be converted to a text format or displayed as a map using the yield monitor vendor’s software.

Processing Yield Maps

The yield calculated at each field location can be displayed on a map using a Geographic Information System (GIS) software package. The raw log file, however, contains points recorded during turns and the sensor measurements do not correspond to the exact harvest locations because grain flow through a combine is a delayed process (unless real-time correction is applied). To eliminate these obvious errors, the raw data is shifted to compensate for the combining delay, and the points corresponding to the header up position are removed. Settings for grain flow delay are combine- and sometimes even crop-specific, but typical values for grain crops range from about 10 to 12 seconds.

Usually a few points at the beginning and at the end of a pass should be removed as well. These are referred to as start-and end-pass delays. Start-pass delays occur when the combine starts harvesting the crop, but grain flow has not stabilized because the elevator is gradually filling up. Similarly, end-pass delays occur when the combine moves out of the crop and grain flow gradually declines to zero when the elevator is completely emptied.  Consult the manufacturer of your yield monitor for the most appropriate settings to use with your combine.

Shifting of raw data to correct for grain flow delay as well as deletion of points that represent header status up and start-and end-pass delays is the primary data filtering procedure built into software supplied with yield mapping systems.

Yield History Evaluation

Evaluating the temporal (year-to-year) variation of yield distribution within the field is an essential step in defining field areas with potentially high and low yields. Several approaches can be used to evaluate temporal effects on yield. One approach is to calculate the relative (normalized) yield for each point or grid cell. Normalized yield can be defined as the ratio of the actual yield to the field average:

When growing conditions in a field vary considerably, such as irrigated and dryland areas or different crops or varieties grown in different areas, normalization should be done separately for those areas, with the resulting relative yields recombined into one data file for the whole field. The following figure shows a relative yield history for a field with corn (soybean in the southern half in 2000) grown using furrow-irrigation (until 2001) and center-pivot irrigation (in 2002).

Relative Corn Yields

Maps of relative yield of corn and soybean grown during a seven-year period (red indicates low-yielding areas and green indicates higher than average yields).

Potential Applications

Yield maps represent the output of crop production. On one hand this information can be used to investigate the existence of spatially variable yield limiting factors. On the other hand, the yield history can be used to define spatially variable yield goals that may allow varying inputs according to expected field productivity.

The following flowchart illustrates the process one might follow in deciding whether to invest in site-specific crop management, based on analysis of yield maps. If yield variability across the field cannot be explained by any spatially inconsistent field property, uniform management may be appropriate. Site-specific management becomes a promising strategy if yield patterns are consistent from year to year and can be correlated to one or more field properties (e.g. nutrient supply, topography, past management, etc.).

Yield Map Decision Making Flowchart

If the causes for yield variation are known and can be eliminated permanently, the entire area could be brought to similar growing conditions and managed uniformly thereafter. This concept was one of the earliest philosophies behind precision agriculture, but is likely only feasible for certain field properties. For example, variable rate liming can be used to correct acidic areas in a field. In this case, the yield map is used only to investigate whether low soil pH is a yield-limiting factor, and the soil map is used to prescribe variable application rates. Another example would be localized deep soil tillage to alleviate compaction in selected field areas.

Most yield limiting factors cannot be modified permanently through single measures because of economic or practical constraints. Consequently, site-specific crop management may be used to appropriately account for the existing spatial variability in attainable yield and/or soil properties.

Summary

Yield maps are one of the most valuable sources of spatial data for precision agriculture. In developing these maps, it is essential to remove the data points that do not accurately represent the yield at a corresponding location. Map averaging or smoothing is usually done to aid data interpretation. A long yield history is essential to avoid drawing conclusions that are affected by the weather or other unpredictable factors during a particular year. Typically, at least five years of yield maps are desired. Processed yield maps can be used to investigate factors affecting the yield or to prescribe variable rate applications of agricultural inputs according to spatially variable yield goals (yield potential). Producers interested in precision farming should, however, always evaluate different management approaches to identify those that provide the greatest benefit at a particular site.

Links

For additional informaton, see UNL Extension Circular, Listening to the Story Told by Yield Maps – EC 704 (362 KB; 8 pages)

Mention or display of brand names is for identification purposes only. No endorsement or criticism is intended for those mentioned or any equivalent products not mentioned.

This article is brought to you by the University of Nebraska-Lincoln. 

Fighting Weeds Sustainably

You don’t have to be an organic grower to seek organic tools for fighting weeds. Synthetic herbicides come with a cost to growers and the environment, so more and more farmers are seeing the value in employing organic tools with or without other means.

Which tools work the best in which situations? That’s the million-dollar question UC Davis weed scientists help growers answer.

Mulches – Researchers test them all – plastic, bark, wood chips, other porous material, even what they call live mulches like clovers and fava beans. Mulches block light, which weeds need to grow. “I think mulches can be the best organic option for fighting weeds, especially for vines and trees,” Lanini says. Mulches are also a key weed-fighting component in organic strawberry and many other crops.

Flamers – These propane-fueled devices quickly raise the temperature of the weed to more than 130 degrees, rupturing its cell membranes. Grasses are hard to kill by flaming because the growing point is protected underground. Flamers require quite a bit of fuel, which can be costly.

Organic sprays – Coverage is the key. “No matter what type you use – oils, soaps, acids, etc. – if you don’t spray-to-wet, 100 percent coverage, the weeds will grow back,” Lanini says. Temperature and the age of the weed matters too. Apply in temperatures above 75 degrees when weeds are very young – about a week old – for best results. Broadleaf weeds are easier than grasses to control with sprays.

The most effective organic spray Lanini has found so far is good old-fashioned vinegar, the kind you use to make pickles. The trouble with that is, the FDA has yet to approve it for controlling weeds. “You can eat it, but can’t spray it on your weeds,” as Lanini says. There are herbicides with vinegar as their active ingredient, but they are much more costly than household vinegar.

Weeding and thinning by tool or machine is a time-honored solution, but the labor costs can be prohibitive. With new technology and the recent rise of precision agriculture, a concept that recognizes the variables within an orchard or field, cultivation has become more popular and efficient. UC researchers are evaluating machine vision technology in which camera guidance which allows faster and more precise cultivator operation. Newer models even allow in-row weed removal.

Solarization has become an important method of weed and disease control in organic desert vegetable crops. In this system, four to six weeks of solar heat under clear plastic film will kill weed seeds and pathogen propagules.

Cultural practices are extremely important in all vegetable crops especially in organic crops. Crop rotations result in shifting environments that do not favor any one weed. Use of preplant irrigation followed by shallow tillage, or flaming is a very effective method of reducing the potential weed infestation during the crop cycle.

What’s precision agriculture?

Orchards and fields, especially the 10,000-square-foot variety, are not uniform. So treating them uniformly with fertilizers, pesticides or herbicides is a waste of money and other resources. Precision agriculture attempts to take in account those variables and treat them accordingly.

Weeds, for example, are not uniformly distributed in a field or orchard. You’ll find more on the edges, where the infestation begins. How do you measure those variations? You could count and map every weed in the field, but then there would be no time left for farming (or sleeping or eating, for that matter).

“What we’ve done is map the distribution of weeds based on seedlings, 99 percent of which fall from their parent plant,” Lanini says. “We look at the seedling population – sample-per-acre after irrigation and other events. Using geostatistics, we can map an entire field based on sample seedling populations and determine areas of high, medium and low densities.”

Seedling sampling takes a lot of time, so the practice, on its own, hasn’t been adopted much by growers. But when combined with other tools, weed mapping shows great promise.

Example: Ag engineers have designed a machine with a camera that can distinguish a crop from a weed, then using syringes, apply herbicide to just the weeds. In areas with high-density weeds, there is so much overlap between weed and plant that it’s hard for the camera to tell the difference between the two.

“But, in low and medium density areas, there is enough separation for it to work quite well,” Lanini says.

New forms of soil disinfestation

Methyl bromide is a soil fumigant that has been critical to crop production for the past 40 years. Methyl bromide works systematically in the soil to control a wide range of plant pathogens and pests, like nematodes, diseases rodents and weeds. The trouble is, it destroys the ozone layer, as well.

“The government is phasing out the use of methyl bromide because it’s an ozone depleting chemical,” Hanson explains. He and Fennimore and others are working on alternatives, including superheated steam.

A bit of background: The first time crops and orchards are planted in virgin soil, they grow beautifully. But the plants themselves change the biology of the soil so subsequent plantings are less pest-free. Farmers have been dealing with that for centuries with means such as rotating crops, leaving land fallow and heating soil under a plastic tarp in the sun. Soil fumigation has, by far, been the most effective means of cleansing the soil but more regulations and fewer effective fumigants have left farmers looking for more. Enter UC scientists.

“Injecting superheated steam into the soil may be one way to replace chemical fumigants in agriculture,” Fennimore says. “Steam technology has been around for more than a century in California, but it took a back seat when methyl bromide – which was a much cheaper alternative back then – came along. We asked, ‘Why not see if we can make steam fumigation work on a field-scale level?”

Working with a company in Kingsburg, CA., Fennimore imported a machine that is used in Italy to prepare soil for greenhouse basil plantings. The machine, manufactured by Ferrari Constructione, has a 100-by-74-inch platform fitted with 99 ten-inch spikes that inject steam into the ground.

“It’s surprising how fast it heats the soil,” Fennimore says. “Within two minutes, it will take 60-degree soil in the surface 8 inches and heat it to 200 degrees. It’s like a microwave.”

However, there are drawbacks – cost, for one. The machine must crawl eight feet at a time up and down the field, each time pushing the spikes into the ground and leaving them positioned there for six minutes while the steam does its work. With one steam machine, it takes about 30 hours per acre.

Fennimore calculated that operating the steam machine, labor and fuel cost $3,848 per acre. Currently, chemical fumigation in California costs $2,700 to $3,300 per acre. Applying steam to raised beds rather than the entire field could cut steam cleaning expenses to about $3,000 per acre.

“We tested a small machine that was easy to ship and most accessible,” Fennimore said. “It is not the final design by any means.”

Another concern is air quality. The Italian machine runs on diesel fuel. In some parts of California, the operation of diesel engines is regulated to reduce air pollution.

“We’re concerned about the air quality issue and people point out all the time that we’re burning lots of carbon,” Fennimore says. “That’s true, but you can only solve so many problems at once. We’re trying to develop a practical system and we’re interested in switching to propane. We have a joint project with the Propane Education and Research Council (PERC) to develop practical heat-based soil disinfestation treatments for California crops. Currently for strawberry and tree crops we have over $1 million in recently awarded funding from the USDA NIFA methyl bromide transitions, USEPA, PERC, CDFA and California commodity organizations to develop mobile steam heat soil disinfestation systems to replace soil fumigants like methyl bromide.”

Fennimore is encouraged by the success Italians have had with the steam system.

“The Italians have not been able to use methyl bromide for a while now,” Fennimore says. “Yet, they have a number of the same industries that we have and they’re able to keep going.”

Using steam to treat land before replanting orchards and vineyards is another issue. The 10-inch depth of the steam injectors wouldn’t be sufficient for trees whose root zones reach four to six feet into the ground such as walnuts. As a gas, methyl bromide and other fumigants readily move through tiny gaps in soil and with proper application can treat deep down under the soil surface.

Hanson and Fennimore started preplant steam trials using an auger-based injection system for almond and peach trees last fall. Preliminary results will be available in 2012.

This article is brought to you by UC Davis.

Precision Agriculture Systems: Maximizing Benefits With Better Management

Good cooks don’t toss Worcestershire sauce in the ice cream or mint in the mashed potatoes. Instead, they season each dish with the best portions and combinations of spices to enhance its natural flavor. That’s the concept behind precision agriculture, the practice of modifying management techniques to meet within-field variations that affect crop growth.

The premise of precision agriculture systems is that farmers should tailor their management to fit specific areas of their farms instead of using a blanket treatment for everything. This means recognizing areas that have productivity and environmental problems and selecting the best solution for each one. The outcome is a system that increases profitability and conserves environmental resources.

Researchers in the ARS Cropping Systems and Water Quality Research Unit (CSWQ) at Columbia, Missouri, are determining which combinations of precision-agriculture methods work best. Plenty of scientists are investigating the benefits of precision agriculture, but only a few are using an integrated approach, says soil scientist Newell Kitchen.

“Many scientists look at one variable, whereas we examine the interaction of many variables. We’re evaluating the system’s effects on production, profitability, and environment,” he says. This approach lets them assess, modify, and evaluate the effectiveness of integrated precision agriculture management practices.

Mind the Map

Between 1991 and 2003, CSWQ researchers monitored an 89-acre, conventionally managed claypan-soil field with a corn-soybean rotation, a common crop combination for that region of Missouri. Kitchen, with soil scientist Robert Lerch and agricultural engineer Ken Sudduth, measured soil and landscape variables and determined the causes of yield differences.

“We found that topsoil loss from the last two centuries of erosion on the field was a key factor in reduced productivity. Areas within the field varied in soil loss, and that had a major influence on patterns of soil quality, water quality, and crop yields,” Sudduth says.

In 2004, the CSWQ team analyzed the data they’d collected to determine how precision-agriculture management could best promote soil and water quality and profitability. Accurate representation of yield variability is a keystone of precision agriculture. So the scientists used different kinds of maps to identify areas where changes were needed to improve the field’s economic output.

Using profitability maps, yield maps, soil maps, and other data, the team created a management plan for the field. Because the maps indicated that corn could be grown profitably only in one section of the field, that area continued in a corn-soybean rotation while the rest of the field was switched to a wheat-forage-soybean rotation.

“We hope that our work will lead to information that farmers, consultants, and researchers throughout the country and around the world can use to make better, more informed decisions,” Lerch says.

EC-Zone Grown

One way to assess fertilization needs and soil variability is to use soil electrical conductivity (EC)—a measure of how easily soil allows an electrical current to flow through it. The CSWQ team was one of the first to apply EC readings to precision agriculture. Working with university and ARS colleagues, they investigated how EC relates to soil properties and grain yields. They also used EC to map where erosion had occurred within a field.

The team discovered that EC measurements and elevation (gauged with Global Positioning System—or GPS—equipment) were extremely helpful in identifying management zones. In fact, Sudduth says, zone maps created with this information were more accurate predictors of yield than maps made with traditional soil surveys. Using yield mapping and profitability analysis, the scientists identified areas of the field that were generally unprofitable. By monitoring those areas and analyzing computer models, scientists and growers can select the best management practices.

Making Sense of Nitrogen

While environmental conservation is an important potential benefit of precision agriculture, scientists recognize that growers will only adopt new technology if it cuts production costs or improves efficiency.

“Many farmers hear ‘precision agriculture’ and think about tools, such as mapping tools, reflectance spectrometers, or GPS. Our objective is to demonstrate how these tools can add value and how farmers can make sensible management changes,” says Sudduth.

Nitrogen application is one area where more precise management has multiple benefits. Growers don’t want nutrient-deficient crops, but excessive fertilization results in unnecessary expenses and can lead to leaching, runoff, and water pollution. The CSWQ team developed two management approaches to help growers identify fertilizer needs of specific sites within a field, allowing for more accurate application.

The first method assesses nitrogen deficiency by measuring crop-canopy reflectance. Scientists estimate that using this method in a cornfield might increase profits about $15 per acre. The second method—still in development—relies on an automated soil sampling and analysis system, which could quickly and economically predict the soil’s nitrogen-supplying capacity.

The researchers believe that combining the first assessment method with variable-rate fertilizer applications could benefit both the economics of corn production and the environment of corn-growing regions. By limiting fertilizer application to the amount required, growers could avoid many of the potential problems associated with nitrogen leaching.

During the next 5 years, the CSWQ team hopes to show that their methods decrease nutrient and sediment losses, increase profitability, and improve soil quality. Above all, they hope to demonstrate that precision agriculture can be an economically viable tool for farmers. “This research directly benefits farmers by identifying technologies and methods they can use to improve efficiency of nutrients and pesticides, thereby increasing their profits,” Sudduth says.

This article is brought you by Laura McGinnis from the USDA.