Logan Welker Creative component August 25, 2014

Transcription

1 Logan Welker Creative component August 25, 2014

2 -My Background -Introduction -Materials and Methods -Data Analysis -Results -Discussion -Conclusion -Questions

3 Raised in Northwest Ohio - Van Wert, Ohio

4 Braylee 6 Eliza - 3 Betsy 10 year Anniversary in November

5 United States Marine Corp Infantry Team Leader Designated Marksman Mercer Landmark Cooperative Assistant Branch Manager Soil and Water Conservation District Western Lake Erie Basin Conservationist June 2010 Graduated - University of Northwest Ohio Business Administration Concentration in Agriculture Natural Resource Conservation Service Soil Conservationist Technician present Trupointe Cooperative Trupointe Precision Solutions Operations Manager / Regional Sales Support

6 Precision Agriculture Is it economical to utilize Variable Rate Planting and Variable Rate Nitrogen when planting corn in Northwest Ohio?

7 History of precision agriculture - Data collection Journal, Maps, Notes, Hybrids, Fertilization, Weather conditions -Management Zones Soil types, Topography, Tiled -GPS Integration Mapping, Accuracy, Location -Auto Steer WAAS (Wide Area Augmentation System), RTK ( Real Time Kinematic) - VRT (Variable Rate Technology), VRP (Variable Rate Planting), VRN (Variable Rate Nitrogen)

8 Precision Agriculture usage -92% utilize GPS for application -56% utilize auto control Whipker, L. and J. Akridge Agricultural services dealership survey results.. Working Paper # Croplife Magazine, Center for Food and Agricultural Business, Department of Agricultural Economics, Purdue University, West Lafayette

9 Data collection from John Deere site-years of data 15,000 acres in northwest ohio Only 214 acres were validated to be accurate and complete

10 APEX John Deere Branded Software for data collection / integration Used by growers as data filing software SMS Advanced Ag Leader Branded Software for data collection / integration Used in this project for data filtering and query tool SST Summit Professional SST developing company inc. branded Software for data collection / integration Used in this project for creation of prescriptions (Rx) and spatial trend maps

11 2007, corn 31,000 34,000 plant population 228 units of nitrogen total, 190 bushel yield goal Units of N, UAN 28% in 2x2 & 3.3 units of N, units of N 82% Anhydrous Ammonia

12 2009, corn crop 31,000 34,000 plant population 228 units of nitrogen total, 190 bushel yield goal Units of N, UAN 28% in 2x2 & 3.3 units of N, units of N, 82% Anhydrous Ammonia

13 2013, corn crop 29,640 36,130 plant population units of nitrogen total, 253 bu yield goal units of N, Super Blue & 3.3 units of N, units of N, 82% Anhydrous Ammonia

14 CWF acres D acres

15 Ket Acres W Acres

16 Spatial Trend Maps Use yield history to define 3 or more areas that will be distinctly managed according to the relative productivity Green, Yellow, Red color scheme for this project Grid representation A field is divided into grids comprising15.38m by 15.38m (0.08 acre area) Sample grid location Taken at random, from an area with same soil types, and in same management zone

17 Spatial Trend Map Yield Map

18 2. Compare the high management zone against the middle management zone which is set at Then compare the low management zone against the middle management zone which is set at Compare the relative yields of the high, middle, and low management zones. When the zones were treated with straight rate management against VRT to determine if percentage differences occurred from the middle management zone between practices used.

19 Yield Ratio CWF Sum of High/Mid Sum of Low/Mid Ratio of high manageme nt yield / mid manageme nt yield Ratio of low manageme nt yield / mid manageme nt yield CWF-1 Year

20 Yield Ratio D D-22 Sum of High/Mid Sum of Low/Mid Year Ratio of high management yield / mid management yield Ratio of low management yield / mid management yield

21 Yield Ratio 1.4 Ket Sum of High/Mid Sum of Low/Mid Ket-1 Year Ratio of high management yield / mid management yield Ratio of low management yield / mid management yield

22 Yield Ratio W Sum of High/Mid Sum of Low/Mid W-23 Year Ratio of high management yield / mid management yield Ratio of low management yield / mid management yield

23 Did VRP and VRN out yield straight rate management? H 1 0 : VRP and VRN produces equal or lower yield than straight rate. H a1 : VRP and VRN produces greater yield than straight rate.

24 H 0 2 : High management zone produces equal or lower profitability than the middle management zone. H a2 : High management zone produces greater profitability than the middle management zone. H 0 3 : Low management zone produces equal or lower profitability than the middle management zone. H a3 : Low management zone produces greater profitability than the middle management zone.

25 Profitability Comparison Table i. Low Med High Year Corn Price N Cost Seed Cost Target Pop Target N Yield Scenario s: 1 $ $ $ $ $ $ $ $ Plug in yields here >

26 Profitability Comparison Table i. Low Med High Year Corn Price N Cost Seed Cost Target Pop Target N Yield Scenario s: Plug in yields here >

27 Profitability Comparison Table i. Low Med High Year Corn Price N Cost Seed Cost Target Pop Target N Yield Scenario s: Plug in yields here >

28 In the case of the H o 2 : Increased inputs in the high management zone will not increase profitability Accept null hypothesis increased yield with high inputs does not seem to offset increased input cost H o 3 : Reduced inputs in the low input zone will not increase profitability Reject null hypothesis savings with reduced inputs were greater than income lost with reduced yield

29 I Is it economical to utilize VRP and VRN when planting corn in Northwest Ohio?

30 Spatial trend maps provide profitable management zones specifically in the low management zone

31 Average Precipitation

32 H a3 : Low management zone produces greater profitability than the middle management zone. Supported by profitability comparison table Supported by climate corp. when the low management zone is managed by vrt when used correctly under certain weather conditions.

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