Variable rate application science, NDVI-based prescription maps, soil sampling design, yield monitor calibration, and sensor fusion modeling — grounded in USDA ARS precision agriculture research.
Live NASS county/state crop yields and prices. Auto-fills yield goal and grain price fields across SF22 calculators.
Source: USDA NASS QuickStats API
Live soil moisture and temperature data from USDA NRCS SCAN stations. Auto-fills soil water deficit for precision irrigation scheduling (SF22-S.002).
Source: USDA NRCS SCAN Network
USDA ERS commodity cost-of-production data — fertilizer prices, seed costs, fuel, and total operating costs per acre. Auto-fills input cost field (SF22-S.005).
Model SF22-S.001
Delineates yield management zones using multi-year yield variability statistics. Calculates coefficient of variation, stability index, and optimal zone boundaries for variable rate prescription development. Grounded in USDA ARS Cropping Systems Research Lab yield mapping methodology.
Model SF22-S.002
Calculates crop evapotranspiration (ET) using the USDA ARS Penman-Monteith method, soil water deficit, and precision irrigation prescription. Integrates with USDA SCAN soil moisture network data for real-time field water balance.
Model SF22-S.003
Calculates variable rate nitrogen prescription by management zone using USDA ARS MRTN (Maximum Return to Nitrogen) economic optimum approach. Accounts for yield goal, soil organic matter N credit, and previous crop N credit.
Model SF22-S.004
Interprets NDVI (Normalized Difference Vegetation Index) from satellite or drone imagery to quantify crop stress, estimate yield potential, and generate in-season variable rate nitrogen sidedress recommendations. Based on USDA ARS Remote Sensing Research and NASS Cropland Data Layer methodology.
Model SF22-S.005
Calculates nutrient use efficiency (NUE), partial factor productivity (PFP), agronomic efficiency (AE), and economic return on input investment. Benchmarked against USDA ARS precision agriculture research targets and NASS input cost surveys.
SF22 delivers 5 research-grade precision agriculture models grounded in USDA ARS National Program 216 (Agricultural System Competitiveness & Sustainability) research. Models span the complete precision agriculture workflow: yield zone delineation using multi-year variability statistics, Penman-Monteith precision irrigation scheduling integrated with USDA SCAN soil moisture data, USDA ARS MRTN economic optimum variable rate nitrogen prescription, NDVI-based satellite imagery crop stress interpretation, and input use efficiency benchmarking against USDA ARS precision ag research targets. Live USDA data via NASS QuickStats, NRCS SCAN soil moisture network, and ERS commodity cost-of-production data auto-populate key inputs across all calculators.