Precision Ag Resources
The following list provides links to various precision ag websites, manufacturers, and other resources. Links are provided purely for educational purposes. No responsibility is assumed for any content on the linked sites. No endorsement of products or companies is intended, nor is criticism of unnamed products or companies implied.
Extension and University Websites
- eXtension Precision Agriculture
- Kansas Agl Research & Technology Association
- International Society of Precision Agriculture
- Louisiana State University
- Oklahoma State University Ag Machinery Systems
- Virginia Cooperative Extension
- University of Georgia
- University of Kentucky
- University of Minnesota
- University of Missouri Extension
- University of Nebraska-Lincoln Extension
- Washington State University
Precision Agriculture Technology & Manufacturers
- AgLeader Technology
- Advanced Ag Systems
- CDS-John Blue Company
- Holland Scientific (Crop Circle)
- John Deere
- Leica Geosystems
- Micro Trak
- Ntech (Greenseeker)
- Precision Ag Resources
- Rawson Control Systems
- TeeJet (MidTech)
- Topcon Precision Agriculture
Precision Agriculture Software
- Ag Leader SMS
- Agricultural Information Management (AIM)
- AgX Platform
- Field Recon-AgRenaissance
- John Deere Apex
- MapShots EasiSuite
- SST Development Group
Additional Resources from NDSU Extension Service
- Computer Controllers: Use this table to compare features of in-cab monitors for agricultural tractors and equipment.
- Variable Rate Technology: Variable rate fertilizer application allows crop producers to apply different rates of fertilizer at each location across fields. The technology needed to accomplish variable rate fertilization includes an in-cab computer and software with a field zone application map, fertilizer equipment capable of changing rates during operation and the Global Positioning System (GPS).
- Field Shape Affects Farming Efficiencies: Energy devlopment on farmland often results in rectangular fields divided into irregularly shaped fields. Farming irregularly shaped fields takes longer, results in more overlap, and increases the fertilizer, seed, and pesticide product used on the same number of acres.
- Section and Row Control Technology: Automatic section control technology turns planter or air seeder sections or rows off in areas that have been previously planted, or on and off at headland turns, point rows, and waterways. Similar technology is used on sprayers and fertilizer applicators.
- Farm GIS and Data Management: Farm GIS is used to manage geospatial field data, including field boundaries, imagery, soil information, application maps, yield data, and near-earth and remotely sensed data.
- Zone Management: Crop fields can be divided into management zones to allow producers to use different production techniques based on the unique conditions in each area of fields. Fertilizer application maps are prepared from zone maps to indicate the amount of fertilizer needed for crop production in each zone and used for variable-rate fertilization.
- Telematics Machinery Operating Information Available on Internet: Most agricultural equipment companies are developing telematics systems. Farmers now have the option to remotely collect and manage information from their field equipment by using telematics technology. “Telematics is a technology that captures data from farm equipment operating in a field and transfers the data to the internet in real tim”, says John Nowatzki, North Dakota State University Extension.
- LiDAR Technology: LiDAR (Light Detection and Ranging) is an optical remote sensing technology that can measure the distance to other features by illuminating the target with Light. LiDAR technology has been used in airplanes to measure features on Earth’s surface, including determining a detailed elevation model. In locations where LiDAR data is available the ground surface elevation contours can be used to prepare both surface and subsurface field drainage patterns.
- Crop Sensors: Optical crop sensor can be used to evaluate crop conditions during the growing season by directing light waves at crop leaves, and measuring the type and amount of light reflected back to the sensor. Green plants absorb much of the visible light wavelengths, particularly the blue and red light waves, and reflect much of the green light waves. Plants absorb much less near-infrared (NIR) light than red light. Darker green leaves reflect more NIR light and absorb more red light than lighter green leaves. These reflectance characteristics of plants are used to develop vegetative indices to compare the relative health of crops.