Precision Pays

ARS researchers have developed a way to make more precise agricultural maps of fields from data generated by LIDAR (light detection and ranging) sensors to help farmers target more of their resources to the highest-yielding parts of their fields. Graphic courtesy of James M. McKinion, ARS.

Using an airplane with LIDAR (light detection and ranging) sensors is helping USDA-ARS researchers build better management zone maps that can accurately predict yields based on topography.

With the maps fed into computerized, variable-rate fertilizer applicators, precision farmers can divert more of their costly fertilizer to the highest-yielding zones and the least to the lowest-yielding zones. They can also use the zone maps to make other decisions, such as planting more drought-tolerant varieties in low-yield zones, or sowing less seed.

Five years of comparisons between these maps and actual “on-the-go” yield monitoring for cotton and corn on a farm in Mississippi showed that accurate yield predictions can be made based on topography.

Researchers contracted to have a plane with LIDAR (light detection and ranging) sensors fly over the 1,000 rolling acres of the farm. LIDAR is a form of radar that can map elevations digitally, showing slopes and sun exposures, by bouncing laser light off the landscape.

By blending yield results with the maps, the scientists divided fields into high-, medium-, and low-yield zones.

One advantage of LIDAR landscape mapping is that it only has to be done once.

LIDAR topographic mapping is spreading from state to state. Louisiana, for example, has financed LIDAR mapping of the entire state.

Otherwise, it is expensive for an individual farmer to pay for LIDAR mapping. So, McKinion is also looking for alternative topographic mapping techniques.

James McKinion, an electronics engineer at the ARS Genetics and Precision Agriculture Research Unit at Mississippi State, Miss., did the study with entomologist Jeff Willers and geneticist Johnie Jenkins at the ARS unit in Mississippi. This research was published in Computers and Electronics in Agriculture.

ARS is the principal intramural scientific research agency of the U.S. Department of Agriculture (USDA). This research supports the USDA priority of promoting international food security.

University of North Dakota students and faculty designed and built the ISSAC camera to watch growing crops from space beginning in 2011.

“ISSAC is a space-related research project that will result in the delivery of direct benefits from space to the general public,” said Doug Olsen, ISSAC project manager. “The ISSAC project is in the midst of developing an upgrade to its camera sensor, which is expected to be launched in April 2011. It will resume operations during the 2011 growing season.”

ISSAC is designed to take frequent images, in visible and infrared light, of vegetated areas on the Earth, principally of growing crops, rangeland, grasslands, forests, and wetlands in the northern Great Plains and Rocky Mountain regions of the United States. Images will be delivered within two days directly to requesting farmers, ranchers, foresters, natural resource managers and tribal officials to help improve their environmental stewardship of the land. Images will also be shared with educators for classroom use.

The system allows users to select specific geographical areas of interest over which to request collection of imagery in both red and near-infrared bandpasses, and at medium-high spatial resolution. Farmers using variable-rate application and other precision agriculture techniques will be able to dynamically delineate management zones as the crop vegetation canopy changes during the growing season; this can result in more effective use of fertilizer and other chemical inputs and reduce negative environmental effects.

“The UND interdisciplinary effort that has produced this camera is a remarkable story,” said UND President Robert O. Kelley. “Faculty and students from several colleges and centers on campus have produced an instrument that will analyze the composition of agricultural and other natural resources on the surface of the earth from the International Space Station.”

“The consolidation of multiple technologies into a single instrument will add tremendous economic value to the agricultural industry in North Dakota and around the world,” Kelley said. “UND and NASA have forged a very productive partnership in this initiative.”

ISSAC is operated from the Science Operations Center (SOC) on the UND campus, staffed by students from across the campus, including from the John D. Odegard School of Aerospace Sciences and the School of Engineering and Mines. From the SOC, students will send commands to ISSAC to take images and transmit them to SOC, where they’ll be processed and delivered to end users. Images captured by the camera will be made available to the public through UMAC’s Web page (see http://www.umac.org/).

Aerial Imagery provider FalconScan is working with AgJunction to offer standardized work order and data delivery services to growers and ag service providers.

Under a new agreement, FalconScan will harness the power of the AgJunction hardware and software platform to make it easier for customers to order and receive the company’s aerial imagery acquisition services.

Commenting on the agreement, Mr. Herron stated, “We are pleased to be teaming up with AgJunction. We believe that their services will streamline the ability of growers and service providers to place orders for FalconScan’s aerial imagery services and receive data back in a timely fashion. We strive to deliver finished data to customers within a week or less from the time they place an order, and AgJunction will help us make that possible.”

Jeff Dearborn, Managing Director of AgJunction at GVM Inc., said, “We are proud that FalconScan chose AgJunction as its provider of data management services. It is one more indication that AgJunction is becoming the go-to information technology platform for growers and service providers in the agricultural industry. With FalconScan’s help, we look forward to strong growth for our platform in 2010 and beyond.”

Headquartered in Glen Burnie, Maryland, FalconScan, LLC combines state-of-the-art remote sensing science and commercial-off-the-shelf technology to rapidly deliver high-resolution ortho photos, NDVIs, and field maps. The company’s proprietary solutions help growers efficiently manage crops, reduce inputs, and save money. FalconScan images can be used to support field scouting, develop prescription maps, and control variable rate technology.

A division of GVM Inc. (www.gvminc.com), AgJunction offers an information technology platform of hardware and data management software that is specifically designed for the agriculture industry. This flexible, web-based system allows users to manage moving and stationary equipment, and to manage field data work orders. In addition, it provides a comprehensive reporting system.

As planters continue to roll across the Midwest, most farmers are thinking about what’s next. One component of precision farming you may want to try is the use of crop sensing. Why? Because this is the future that will help overcome field variability–from helping create optimum field management zones to monitoring crops so growers can take action before yield-robbing stress occurs.

One good overview of this science, published in 2003 by USDA-ARS scientists from across the country, will help you grasp the realties and benefits that can be achieved. And the technology has dramatically improved since this was written.

One independent agronomic guru who is a favorite of mine (and I’ve quoted many over the years in farm magazine articles) in Tom McGraw, owner of Midwest Independent Soil Samplers (MISS). Tom calls a spade a spade, and offers some excellent advice, which he gives in his newsletter, on their website, and especially to customers.

Bottom line is you should consider examining one field, perhaps your toughest most variable ground, to see what you can learn and improve upon with this sensing technology. Talk to your local retailer to understand their capabilities, or contact one of the four MISS locations.

The latest in precision agriculture might not be at the ground level, turning the soil.  It might come just a few feet above the top of the crops in the form of the Autocopter.

In this edition of the Precision Pays Podcast, sponsored by Ag Leader Technology, we talk to Autocopter president Donald Effren, who describes how this little helicopter with a five-foot blade-span operating at about 25 feet above the ground brings farmers and ranchers a level of sophistication that has its roots in the high-tech Unmanned Aerial Vehicles, better known as UAVs, that the military has been flying in the wars in Iraq and Afghanistan.  Effren says his aircraft is actually more stable than some of its military cousins.  And with controls that are easier to operate than most hobby shop model helicopters and a price tag of $30,000, in line with most farm implements, this little dynamo could be the next big thing in precision agriculture.

Listen to the podcast in the player below to find out more about the Autocopter. You can subscribe to the Precision Pays Podcast here.

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Superior precision farming software is crucial in order to help growers maximize in-field efficiencies. Ag Leader Technology not only delivers excellent SMS Basic training for growers, it now offers a three-day Certified Training course for its SMS Advanced software users who want to go beyond the one-day training.

SMS Advanced software is geared toward crop consultants, agronomists or other co-op personnel, precision ag managers, GIS mapping specialists and other service providers who provide precision farming services to growers. “We’ve been providing software and one-day general training since the late 1990s. But this past year we expanded to an in-depth three-day training course for advanced users,” says Michael Vos, SMS Sales Manager for Ag Leader.

“New and existing SMS Advanced software customers wanted an in-depth level of training, so we created a Certified Training program, which includes 15 to 22 CCA credits. We offer an excellent trainer to student ratio, as we normally have two trainers and 8 students, in our new state-of-the-art Ag Leader Academy computer lab,” he says.

The three days are tailored to exactly what the individuals want to learn. “We make lists of topics and details that are desired so users get the exact training to fit their business model. Some of the popular topics requested include: how to write equations for prescriptions, how to use aerial imagery and read it to make fertilizer use and crop scouting decisions, how to build a customer soil fertility booklet and creating soil management zones from aerial imagery and numerous years of yield data,” Vos says.

Every attendee receives a special certified manual with screen shot by screen shot steps for the software program. And within the book there are explanations why each tool is used, along with definitions and real world scenarios on how each tool is used.

“It’s definitely a complex tool, and when users see all the potential benefits of the software, they want to learn how to use it to the fullest extent,” he says.

Check out upcoming SMS Training Sessions…

Clouds can often interfere with aerial imagery from satellites or high level aircraft, while wet conditions on the ground can make it difficult to use ground based sensors. Research being done in Australia combines ground type sensors with low flying aircraft to deal with those situations.

For this edition of the Precision Pays Podcast, sponsored by Ag Leader Technology, we go to the Precision Agriculture Research Group (PARG) at the University of New England in Armidale, Australia where they are working on Ultra Low Level Airborne (ULLA) sensing. I spoke with group leader David Lamb about the system and its potential for helping growers who need timely aerial imaging information in challenging weather conditions and potentially saving them both time and money in the process.

Subscribe to the Precision Pays Podcast here.

Listen to or download the podcast here:

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Hemisphere GPS will now offer aerial imagery in partnership with Third Eye Maps to assist their spraying system technology.

Through the collaboration of multiple technologies, Hemisphere GPS now offers imagery solutions to its agriculture and land management customers. Third Eye Maps uses infrared camera systems to generate aerial imagery and maps with a variety of useful information. For agriculture, this information is used to determine vegetation growth indices as well as nutrient and irrigation irregularities that are essential for the improvement of farm yield efficiencies. For land management, imagery aids in the recognition of invasive species and other vegetation identification that enables targeted management. The captured imagery data is post-processed and formatted into digital files which are compatible with most GPS assisted spray systems including the Hemisphere GPS Air IntelliFlow and IntelliGate liquid and dry flow control systems, respectively.

“This combination of technologies provides our customers with valuable data that can be used in conjunction with automated spray applications; whether they are simply turning a spray on and off, or using it with full variable rate treatment in aerial or ground applicators” says Kip Pendleton, Vice-president and General Manager of Agriculture. “Growers, pilots and landowners can now spot spray areas as small as one-tenth of an acre in a more precise and cost effective manner.”

Third Eye Maps brings more than 20 years of vegetation mapping and land management experience to Hemisphere GPS. The combination of Hemisphere GPS’ advanced guidance and flow control systems and Third Eye Maps’ aerial mapping technology and services offers Hemisphere GPS’ customers a more complete solution for imagery usage, data management and spray efficiency.

RapidEye, the only geospatial solutions provider to own and operate a constellation of five identical Earth Observation satellites, have successfully run a Precision Farming pilot project for Agro Risk Euro Scan GmbH ( ARES ). The project is called Crop Scan and supports the German farming community in agricultural planning. ARES acts as RapidEye’s service partner for Precision Farming solutions.

From March to September 2009, RapidEye imaged 8,000 hectare multiple times in Germany and provided ARES with up-to-date ground cover maps for different crop types such as wheat, rapeseed, barley, corn and sugar beets each month. The maps helped farmers requesting this product to better plan their agricultural fields and crops for the upcoming months.

Timeliness and accuracy of information is key when providing frequent agricultural monitoring. The RapidEye constellation of five satellites has the unrivaled ability to image individual fields, counties, states or countries on a frequent revisit cycle. Customers can receive field-based information including crop identification, crop area determination, crop condition monitoring, and growth stage determination.

“The results of the project were extremely satisfying, and through this new partnership with ARES we will be able to strengthen our position in the precision agriculture market. We are looking forward to going operational with this service in Germany in conjunction with ARES in 2010. We also expect that we will have additional opportunities to partner with them in the future on other ventures,” commented Michael Prechtel, Head of Sales and Marketing for RapidEye.

USDA crop analysts add another tool to their crop monitoring capability by approving DMCii as a remote sensing solutions provider.

DMCii was invited to supply satellite imagery to the Office of Global Analysis, USDA, Foreign Agricultural Service (OGA USDA FAS) because it provides a unique combination of technical advantages for agricultural monitoring. Firstly, its satellites provide 22m and 32m Ground Sample Distance (GSD) multi-spectral imagery with a large 650km swath width that is capable of monitoring large areas rapidly. Secondly, the company is able to acquire daily images of a given location by coordinating the multi-satellite DMC constellation. Finally, multispectral image data is ideal for monitoring crop growth and is delivered in a highly calibrated Landsat-compatible format for immediate use in crop monitoring applications. DMC data has long been in regular use by precision agriculture services in Europe, where the speed of acquisition, accuracy and very large image size are exactly what is needed for successful monitoring of critical crop growth stages across entire countries.

Bob Tetrault, USDA Satellite Imagery Archive Manager, commented, “The use of DMC satellite data allows the crop analysts to receive broad area, multi-temporal monitoring coverage which is critical in our operational global food security analysis.”

Dave Hodgson, Managing Director DMCii, added, “Our multi-satellite imaging service is ideal for frequent coverage and crop monitoring as the data is collected as large images and delivered in a highly calibrated Landsat-compatible format so applications don’t need to be reinvented.”

DMCii delivers highly calibrated ortho-rectified imagery that can be imported directly into GIS applications. It has delivered 32metre GSD multispectral imagery since the first DMC satellite launched in 2002. The recent launch of two new 22metre GSD satellites, UK-DMC2 and Deimos-1 has greatly increased the imaging capacity of the constellation and has also doubled the number of image pixels per hectare to boost the effectiveness of the system for monitoring agriculture.

By coordinating the constellation of satellites, DMCii covers vast areas within a very short space of time so that data shows the state of vegetation for a very specific period. For example, DMCii coordinated the imaging of 38 countries in Europe within tight time windows specified by each country. DMCii will provide a rapid delivery of data to OGA USDA FAS so that it can be used for rapid decision making during growth seasons.

Cross compatibility is another important consideration when using different satellite imagery. The multi-spectral imagers used on the DMC satellites provide exactly the same spectral bands as the Landsat bands 2, 3 and 4 (R, G, NIR). They are also specially designed to provide highly calibrated imagery, with negligible differences in radiometry between DMC satellites so that data can be combined seamlessly. The large size of DMC images saves considerable time and expense for end users, because they cover huge areas and reduce the need to process large numbers of datasets.

Farmers Edge Precision Consulting based in Winnipeg, Manitoba has become a fast-growing business helping farmers cut fertilizer costs and increase profits. The two agronomy experts who started the company just received an entrepreneur award, according to a report in The Gov Monitor.

Farmers were so impressed with an innovative crop fertilization service developed by Curtis MacKinnon and Wade Barnes that they urged them to take it to market, giving them the push they needed to strike out on their own. Since that initial start four years ago, Farmers Edge Precision Consulting has become a fast-growing business that is helping farmers across the Prairies and as far away as Russia improve their practices and profits. For this success, Wade, 34, and Curtis, 33, have won BDC’s Young Entrepreneur Award for Manitoba.

Farmers Edge helps take the guesswork out of farming. It combines remote sensing equipment and technology to redefine how farmers apply fertilizer to their fields to increase crop yields. The business is helping grain and oilseed farmers increase their profits by $15 to $100 per acre, while contributing to a 15 to 25% decrease in fertilizer application. Now covering 750,000 acres across the Prairies, Farmers Edge has grown to 10 management partners, 34 full-time and 11 seasonal employees, along with 17 consulting partners who are re-sellers of the services. Farmers Edge has just opened its own soil-testing laboratory, has taken its concept to large corporate farms in Russia and is constantly exploring new ideas.

“Before we got started, I was working in the fertilizer business, where research had been done on variable rate technology, but no one had found a way to make it viable,” explains Wade. “Then I started working with Curtis, who is gifted in technology, and together we decided to reinvent the wheel.” Wade hit on the idea of using remote sensing to map out the varying fertilizer needs throughout a field, and Curtis found a way to make fertilizer machines vary their output according to that map. When farmers saw what Farmers Edge could do, the service sold itself.

The two agronomy experts attribute the fast growth of Farmers Edge to the talented team and the unique ownership model they have put in place. That includes a design whereby territory managers take equity in the company. “We have been fortunate to find key people who share our drive,” says Curtis. “That has allowed us to keep growing and expanding.”

Curtis and Wade see expansion as a way of reducing risk. “Agriculture is so influenced by weather that if you are regionalized, one weather disaster could virtually wipe you out,” explains Wade. “Expanding into other regions reduces that risk.” They’re also always on the lookout for possible new ventures. “We’re very quick to seize opportunities. If we have an idea, we chase it.” That led them to Russia in 2006. Since then, Farmers Edge has been developing business in Russia and the Ukraine, tapping into the large corporate farm market.

Satellite photo by RapidEye - Illinois

German-based RapidEye, who uses a constellation of five satellites to photograph earth for numerous industries, partnered with Canadian companies GeoFarm and Agri-Trend to supply growing season images to farmers across Canada.

In a collaborative effort, GeoFarm, Agri-Trend, and RapidEye began working together at the beginning of 2009 to offer enhanced satellite imagery solutions to Canadian clients by offering “near real-time” satellite imagery for agriculture use backed by superior agronomics. The RapidEye satellite system was designed to meet the needs of precision agriculture, as it is the only commercial satellite system that acquires data in the red-edge spectral band. This band provides specific information about the chlorophyll content, and therefore nitrogen status of the crops.

“RapidEye provided high quality imagery products of different types on a ‘field order by field order’ basis to our Canadian customers over a wide range of crop types and conditions. This led to a variety of precision agriculture decisions and applications. With Agri-Trend Agri-Coaches™ providing groundtruthing and agronomic insight, the value of these informative images was understood from a practical agronomy standpoint for the ultimate benefit of our growers,” says Warren Bills, President of GeoFarm Solutions Inc.

Customers benefited from multiple captures of 5 meter resolution, multi-spectral imagery (red, green, blue, near infrared and red edge) of their fields throughout this year’s season. Products such as bare ground, chlorophyll and ground cover maps were delivered via the Internet to farmers, ag-retailers and agronomic consultants.

It’s a proven fact that grass waterways and stream buffer strips reduce erosion and runoff. Current research at the University of Kentucky strives to develop reliable prediction models for accurate placement of these grassy strips in a field using GPS.

Tom Mueller, associate professor in the University of Kentucky (UK), College of Agriculture, guided Adam Pike, UK graduate student, on a project that examined whether reliable prediction models could be created to identify eroded waterways from digital terrain information such as landscape curvature and estimates of water flow from upslope areas.

“The terrain attributes were calculated from elevation data obtained with survey-grade GPS measurements collected on a farm in the Outer Bluegrass Region of Kentucky,” Mueller explains.

Results from the study are published in the September-October issue of Agronomy Journal. This work supported by a special grant from the U.S. Department of Agriculture.

The authors developed equations that accurately identified the potential locations of erosion-prone areas. They found that simple regression methods could be used to fit these equations as well as more complex non-linear neural-network procedures. The equations were used to map areas in fields where erosion was predicted. These areas corresponded very well with actual field observations of erosion. This work was confirmed with a leave-one-field-out validation procedure.

Research showed these maps could help conservation planners and farmers identify where erosion from concentrated flow is likely to occur, but not necessarily the exact shapes of these features. Field site-assessments would still likely be required for verification and to accurately delineate the boundaries of erosion-prone areas.

Mueller stated, “while this study is promising, more work is needed to determine whether these techniques can also be used with USGS digital elevation grids and from elevation data obtained with light detecting and ranging (LIDAR) data. Further, we need to evaluate whether models can be developed to predict across larger geographic areas.”

Mueller is conducting follow-up research to evaluate quality of erosion predictions created with 10-m USGS data sets and evaluating the performance of these models on fields in western Kentucky. He hopes to present the results of some of this work at the 2009 Annual American Society of Agronomy Meetings.

http://agron.scijournals.org/content/vol101/issue5/#SOIL_QUALITY__FERTILITY

switchgrass

Biomass crops slated for ethanol production are gaining research dollars as scientists use precision agriculture remote sensing to study the issues and logistics of getting crops from field production to the biorefinery gate.

A lot has to happen to a plant from the time it first captures sunlight in a field to being dispensed as fuel at the pump. For corn-to-ethanol, that path is fairly predictable, but for energy crops such as Miscanthus or switchgrass the journey is still through somewhat uncharted territory.

“There’s not as much information on energy crops as we have on corn and soybeans and wheat and cotton. So we have to build on those past successes and learn,” said University of Illinois agricultural engineer K.C. Ting.

“Energy crops like Miscanthus cut differently; a corn harvester cannot be used to harvest energy crops. Maybe the closest comparison is hay, but that’s not a perfect comparison either.”

Ting is leading a team of Illinois researchers in a program funded by the energy firm BP in the Energy Biosciences Institute (EBI) — a partnership between the University of California-Berkeley, the Lawrence Berkeley National laboratory, and the University of Illinois.

“In the pre-harvest crop monitoring, we look at how precision agriculture, remote sensing, can be used to help growers understand how to manage these new crops,” Ting said. “Even harvesting has several steps: you have to detach it, you have to gather it, collect it, and resize it. Then you may have to either bale it or compact it. You have to load and unload many times from the field to the biorefinery. And in between you may need to store it. Sometimes the harvest window is small, but biorefineries need a year-long supply of constant high-quantity material. We have to find ways to keep it for a whole year in storage.”

Researchers at the University of Illinois use a variety of techniques for pre-harvest crop monitoring. A tower over a hundred of feet high with a multi-spectral camera watches over four nine-acre plots to study the health of the crop, a small unmanned helicopter can fly over crops to acquire images, and a cube-shaped frame with sensors is moved slowly across the crops. “Using these precision agriculture methods, we can help growers monitor crop growth, detect problem areas, and suggest what they need to do. With cotton, if you take an image, you can tell whether it is suffering from drought or insect or disease. But energy crops are so new, there’s minimum data,” said Ting.

Read more.

RapidEye, a German-based GIS mapping technology provider, is working with a France company to test and deliver biomass maps that can help farmers improve Nitrogen efficiency in wheat and canola fields, as reported by Vector1Media.

RapidEye provided S2B’s VISIOPLAINE platform with biomass maps to support nitrogen fertilization of canola fields for five regions from early winter 2008 to early spring 2009. In June 2009, RapidEye delivered chlorophyll maps for 2 different areas in France.

The results and field measurements are being tested, analyzed, and confirmed this year before introducing this solution into the wheat market in 2010. The cooperatives and scientific institutes contributed information collected in the fields, whereas RapidEye was responsible for the analysis from the remote sensing perspective, and delivered an intermediate product in the form of biomass and chlorophyll maps.

Based on these maps, S2B was able to make recommendations for nitrogen fertilization in canola and wheat fields to the farming community through their VISIOPLAINE platform. “In early 2009, S2B and RapidEye entered into a strategic partnership agreement for all remote sensing projects that VISIOPLAINE plans over the next three years.

Through our partnership with S2B’s VISIOPLAINE platform, we will increase RapidEye’s visibility in the French Precision Farming market.” said Michael Prechtel, Head of Sales and Marketing at RapidEye. Future projects with S2B include Precision Farming services for sunflower, potatoes and sugarbeet. RapidEye’s contributions to these projects include identifying variabilities of biophysical parameters within fields such as nitrogen content and leaf area index.