State of Precision Agriculture in United States

Transcription

1 @OhioStatePA State of Precision Agriculture in United States Dr. John Fulton I SIMAP, Sinop, Brazil

2 Digital Agriculture (IoT in Ag) Image courtesy of New Holland

3 U.S. Precision Ag Trends Variable-rate Technology (VRT) Variable-rate fertilizer and lime (high adoption; >50%) Variable-rate seeding of corn (>25%) Variable-rate seeding of soybeans (quickly growing in adoption) Digital Tools New summary analytics for agronomic and business evaluation (farmer have interests; >10%)

4 US Technology Adoption

5 US Technology Adoption

6 @OhioStatePA Over 60% of Ohio farmers conducting variable-rate P and K. (2017 Ohio Retail Survey**) Over 80% of farmers have a smartphone (2016 Multiple Surveys) Text messaging 85% ing 75% Online searches 72% 84% of farmers conducting on-farm research that have adopted precision ag technology & management. (2017 OSU farmer survey on Digital Technologies***) #NutrientIntel

7 Digital Tech Adoption by US Farmers 92% Sharing Data today o 66% sharing data with 2 or more people o Seed Rep and Agronomic Consultant (>60% sharing with both) 70% have high expectations for their data (2017 USB farmer survey on Digital Technologies)

8 Guidance and other technology are standard in the cab Smart phones / ipads / Tablets Guidance technology Yield monitors Rate controller (VRT) Planter technology

9 Planter Technology Precision Planting

10 In-cab Displays Monitor In-field Performance Improves field execution & on-farm research

11 In-cab Display Producer Value 1. Identify and correct equipment issues immediately 2. Execute prescriptions; 3. Verification of seed placement 4. Identify soil characteristics (e.g. clods, trafficked areas)

12 In-cab Displays Monitor In-field Performance Image courtesy of John Deere Improves field execution & on-farm research

13 Section / Row Control for Planters Corn - SAVINGS: 4.3% - YIELD: 17% less - HARVET LOSS: >6 times higher Automatic Section Control Technology for Row Crop Planters (Auburn Extension Publication)

14 Planter Row-Unit Active Solutions Mechanical Spring Pneumatic Hydraulic Down Force Options US Companies DAWN AgLeader Precision Planting

15 Active DownForce Technologies Soil physical properties vary spatially indicating planter performance could be improved by adjusting planter settings to field spatial variability. Seeding depth and downforce management are critical for optimization of planter performance (Hanna et al., 2010). Hydraulics provide quicker response and stability. Target Depth (in.) Downforce TRTS AVG Depth (in.) CV Depth (%) 2 none 0 lbs optimal 100 lbs heavy 195 lbs

16 2 Target with Active DF (100 lbs with active downforce) Uniform Spacing and Emergence 192 bu/ac 2 Target with Mechanical Springs (nominal 125 lbs) Non-Uniform Spacing and Emergence 178 bu/ac

17 Non-uniform Seeding Depth (without active downforce technology) Seeding Depth CV = 33.5%

18 FIELD EXECUTION CONSIDERATIONS 2 Fertilizer Sources with 1 Pass MAP Rx to 336 kg/ha Potash Rx to 336 kg/ha Most companies offer solutions to carry and independently meter 2 or more products on their fertilizer application equipment today (NO need for blending fertilizer sources). #4Rs #NutrientIntel

19 Planter Placed Fertilizer: In-furrow and 2x2 or 2x2x2

20 Mid-season (V6-V10) application of N (urea) in corn Dual or multiple bins Rate controller with VRT and automatic swath control technology

21 P Rx K Rx VRT + Automatic Section Control Capability to execute 2 prescription maps.

22 @OhioStatePA COLLECT IN-SEASON DATA #4Rs #NutrientIntel

23 Digital Toolbox APPs / Data Collection Climate FieldView Cab Farmobile Raven SlingShot MyJohnDeere Various imagery providers Software SMS Advanced Beck s FarmServer Pix4D BOX ADC Account #NutrientIntel

24 @OhioStatePA SUMMARY Precision Ag adoption continues to increase in US. Growing opportunities to utilize imagery and digital technologies during the season Sensors + IoT = Tremendous volume of data being generated and freely flowing today. #DataIntel #PrecisionAg

25 @OhioStatePA efields represents an Ohio State University program dedicated to advancing production agriculture through the use of field-scale research. Click on the efields tab

26 Digital Agriculture Providing solutions to meet world demand Obrigado! John Fulton Ohio State Precision Ag Program Facebook: Ohio State Precision Ag