Institute of Ag Professionals

Transcription

1 Institute of Ag Professionals Proceedings of the 2012 Crop Pest Management Shortcourse & Minnesota Crop Production Retailers Association Trade Show Do not reproduce or redistribute without the written consent of author(s).

2 Off the Shelf Precision Ag Software Its Utility for On-Farm Research Kent Shannon Natural Resource Engineering Specialist Boone County Columbia, MO

3 Background In the past one tool available for implementing on-farm research was Enhanced Farm Research Analyst (EFRA).

4 Background EFRA extended the capabilities of ESRI ArcView GIS to accommodate tasks needed for in field scale experimentation through a variety of tools.

5 Project Objectives Evaluate two commercial precision agriculture software packages using the following criteria: The ability to create experimental plots either strips or blocks. How yield monitor data can be processed to obtain individual plot yield means for the purpose of statistical analysis.

6 Materials and Methods Software packages to be evaluated: Ag Leader SMS TM Advanced Farm Works TM Mapping and Surface Note: At this point in time only Ag Leader SMS TM Advanced has been evaluated

7 Materials and Methods Software chosen based on the following criteria: Ability to process soil sample data Develop fertility recommendation maps Create soil sampling grids (utilized for the design of plots) Process yield monitor data

8 Examples of Implementation Strip Trial Utilizing Yield Monitor As Primary Data Collection Tool Strip Trial Utilizing As-Applied Data and Yield Monitor For Data Analysis

9 Examples of Implementation In-field Plots Utilizing Detailed Plot Map Application Map As-Applied Data Yield Monitor Data Utilizing GPS as a Tool for Collecting In-Field Data Collection Efficiency

10 Yield Editor version 2.0 Translating Missouri USDA-ARS Research and Technology into Practice A training session provided by USDA-ARS-CSWQRU, October 2012, Columbia, MO

11 Example On-Farm Research Study 1 To evaluate nitrogen rates in corn production Strip trial of varying nitrogen rates Traditional flagging of plots for identification Yield monitor used a primary data collection

12 Utilizing Yield Data Collection by Load Number

13 Utilizing Yield Data Collection by Load Number

14 Utilizing Yield Data Collection by Load Number

15 Utilizing Yield Data Collection by Load Number

16 Utilizing Yield Data Collection by Load Number

17 Example On-Farm Research Study 2 To evaluate sensor-based nitrogen application in corn production. Strip trial utilizing applicator to collect plot information for developing plot identification Utilizing as-applied data as for plot map Yield monitor data pass number attribute key in analyzing results

18 Utilizing As-Applied Data for Plot Map

19 Utilizing As-Applied Data for Yield Data Analysis

20 Utilizing Pass Number for Yield Data Analysis

21 Utilizing Pass Number for Yield Data Analysis

22 Utilizing Pass Number for Yield Data Analysis

23 Utilizing Pass Number for Yield Data Analysis Longitude Latitude Moisture(%) Yld Vol(Dry)(bu/ac) Yld Vol(Wet)(bu/ac) Pass Num Block Treatment Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip Ref Strip

24 Example On-Farm Research Study 3 To evaluate proposed changes in University of Missouri fertilizer recommendations in variable rate fertility management of P and K.

25 Example of Implementation Plot Layout 80 x 300

26 Proposed Soil Test K Recommendations Equation Output : K Rec for Corn If [Soil K] < ( ( * [Soil CEC] ) ) Then Current MU Rec RESULT= [Corn Yield Goal] * * ( ( ( ( * [Soil CEC] ) ) ^ ) - ( ( [Soil K] * ) ^ ) ) / [Build Years] Else If [Soil K] >= ( ( * [Soil CEC] ) ) Then RESULT= [Corn Yield Goal] * * ( ( * ( ( * ( [Soil K] * ) / ( ( * [Soil CEC] ) ) ) ) ) / ) Equation Output : K Rec for Corn If [Soil K] < ( ( * [Soil CEC] ) ) Then RESULT= [Corn Yield Goal] * ( ( * ( ( ( * [Soil CEC] ) ) - [Soil K] ) ) / [Build Years] ) Else If [Soil K] >= ( ( * [Soil CEC] ) ) Then Proposed MU Rec RESULT= [Corn Yield Goal] * * ( ( * ( ( [Soil K] / ( ( * [Soil CEC] ) ) ) ) ) )

27 Results from soil sampling using a 1-acre grid Soil Test K In lbs/acre

28 Current status/importance of research area Current Recs Proposed Recs 5810 lbs of K 2 O 1762 lbs of K 2 O

29 Plot Level Application Map

30 Analysis Buffer Overlaid on a Yield Map

31 Utilizing As-Applied Data for Yield Data Analysis

32 Utilizing As-Applied Data for Yield Data Analysis

33 Creating an Analysis Buffer for Yield Data Analysis

34 Analysis Buffer for Yield Data Analysis

35 Analysis Buffer for Yield Data Analysis

36 Yield Data Analysis by Plot Longitude Latitude Obj. Id Yld Vol(Dry)(bu/ac) Moisture(%) Pass Num PlotNum Block Treatment NoFert NoFert NoFert NoFert NoFert NoFert NoFert NoFert NoFert NoFert NoFert

37 Utilizing GPS as a Tool for Collecting In-Field Data Collection Efficiency Cover Crop Evaluation

38 Using Greenseeker Data to Evaluate Sidedress Nitrogen Requirement by Cover Crop

39 Using Greenseeker Data to Evaluate Sidedress Nitrogen Requirement by Cover Crop

40 Another Example of Implementation Sensor-Based Nitrogen Requirement By Cover Crop Cover Crop Red / NIR - Greenseeker Reading Nitrogen Rec Based on Reference Red / NIR of Purpletop Turnips Crimson Clover Tillage Radishes Oats Peas Forage Turnips Bob Oats Gulf Ryegrass Control Oats and Clover Average N Rec Using all Plots N rate (lbs N/acre) for corn from active canopy sensors calculated based on MO-NRCS Agronomy Technical Note MO-35

41 Conclusions and Future Work Commercial precision agriculture software can assist in automating the process of conducting on-farm research. During the next year, Farm Works TM Mapping and Surface software will be evaluated.

42 Conclusions and Future Work Future products of this study will be a guide and online course on the design and analysis of on-farm research trials utilizing commercial precision agriculture software.

43 Acknowledgement of Colleagues Carpenter, B.D. 2, Ellis, C.E. 3, Harper, J.R. 4, Hoorman, R.G. 5 Lorenz, T.E. 6, Rapp, W.F. 7, Schmitz, E.G Agriculture Business Specialist 3. Natural Resource Engineering Specialist, 4. Agronomy Specialist, 5. Agronomy Specialist, 6. Horticulture/Agronomy Specialist, 7. Livestock Specialist, 8. Livestock Specialist

44 Kent Shannon Questions??? Natural Resource Engineer University of Missouri Extension - Boone County 1012 N. Highway UU Columbia, MO office phone: shannond@missouri.edu web: extension.missouri.edu/boone/precisionag.aspx