Precision Agriculture an Overview Precision Agriculture Human need

Precision Agriculture an Overview

Precision Agriculture? • Human need • Environment – Hypoxia – $750, 000 (excess N flowing down the Mississippi river/yr) • Developed vs Developing Countries • High vs Low yielding environments

Many research & development practices are not designed to foster site-specific management • Continued success in wheat germplasm and technology dissemination worldwide depends on the free and uninhibited flow of genetic materials and information. Restrictions imposed on such movement due to intellectual property protection could have serious consequences on the ability of developing countries to sustain wheat productivity growth. • …. further gains would have to come from specifically targeting breeding efforts to the unique characteristics of marginal environments

What is Precision Agriculture? • The concept of precision farming entails the use of some high-tech equipment of (sic) assessing field conditions and applying chemicals and fertilizers. …. Managing small areas within a field to reduce chemical use and improve productivity is the goal of precision farming methods. Ess and Morgan

What is Precision Agriculture? • Treating small areas of a field as separate management units for the purpose of optimizing crop production based on in-field variability

Site Specific Management • The application of an input to a specific area based on the evaluation of variability of the need for that input. Richardson, 1996. • Recognition of site-specific differences within fields and tailoring management accordingly, instead of managing an entire field based on some hypothetical average. Emmert, 1995.

Definitions of Precision Agriculture • Using information to better manage farms at the field level or finer resolution. • Optimizing inputs to produce the largest net income. • Optimizing inputs to produce the highest long term yields. • Combine yield monitors, GPS, Grid Soil Sampling.

What is Precision Farming? • • Management by the Field Management by the Foot Global Positioning Systems Yield Monitors Sensor Based Weed Control Grid Sampling Variable Rate Fertilizer Application Managing to Maximize Net Return – – Agronomic – Economic

Oklahoma State University’s Definition of Precision Agriculture • Variable rate application of fertilizers, pesticides or other inputs based on the sensed needs of the crop within the following constraints: – – Available Technology Agronomic Economic Environmental

Large Scale (Macro) Variability Within a Field

Intermediate Scale Variability Within a Field IKONI Imagery 4 m Resolution

Small Scale (Micro) Variability Within a Field

Variability in Weed Populations

Variability in Grain Yield

Map Based - Precision Farming Aerial and Satellite Images Management Computer GIS - Precision Farming Software Yield Map GPS Referenced Soil Samples Fertilizer Prescription Soils Maps, Elevation Maps, etc. GPS Constellations

On-the- Go Sensing of Plant Needs and Variable Rate Treatment Decision Making And Agronomic Strategy Computer and Sensor Assembly Variable Rate Spray Nozzle Direction of Travel Plant

Map Based vs. Real Time Map Based: 1. Treat next season’s crop 2. Historic information Transition: Aerial/Satellite 3. Slowly changing variables e. g. p. H Imagery 1. Sense and treat current crop 2. Real-Time, sense and treat on-the-go 2. Near real-time 3. Variables that change 3. rapidly, e. g. N 4. Resolution limited by ability to accurately and precisely locate position 4. Coarse resolution 5. Can directly measure variables e. g. p. H Sense and treat current crop Real-Time: 5. Indirect Measurements Variables that change rapidly, e. g. N 4. High resolution, 1 m 5. Indirect measurement (with existing sensors)

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1991

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1992 First discussion between the Departments of Plant and Soil Sciences and Biosystems and Agricultural Engineering concerning the possibility of sensing biomass in wheat and bermudagrass. Biomass was to be used as an indicator of nutrient need (based on removal). 1993

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1994

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1995

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1996

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application www. dasnr. okstate. edu/nitrogen_use 1997 1998

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 1999 TEAM-VRT entered into discussions with John Mayfield, Patchen, Inc. , concerning the potential commercialization of a sensor-based N fertilizer applicator for cereal crops. 2000 2001

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 2002 Treatment Pre. Trt. N, lb/ac Total N, lb/ac Yield, lb/ac Net Rtn, $/ac N-Rich Strip 94 0 94 44. 6 110 Var. Rate 56 23 79 39. 8 100 Fixed Rate A 56 35 91 37. 3 91 Fixed Rate B 58 24 82 35. 4 85 Field Rate 73 20 92 34. 6 82 SED 3. 1 9. 5 Treated March 20 to April 10, 2002 Net Revenue = grain yield * $3. 00 / bu – N Fertilizer * $0. 25 / lb SED = Standard Error of the Difference

History Oklahoma State University Optical Sensor Based Nitrogen Fertilizer Application 2003 -Present

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