πŸ₯œ USDA-ARS Β· RRRC, Athens GA β€” GRAIN SCIENCE & POST-HARVEST TECHNOLOGY

πŸ₯œ Grain Science & Post-Harvest Technology

Research-grade calculators for grain drying energy, real-time moisture monitoring, post-harvest storage loss, and oilseed quality analysis β€” grounded in USDA-ARS peer-reviewed science from Micah Lewis, Research Agricultural Engineer at the RRRC, Athens, GA.

📡 USDA Live Data LIVE DATA
Select a source → auto-populate calculators
Select a source below, or fetch all at once
NASS: not loaded | WASDE: not loaded | Comparison: pending
📊 NASS QuickStats
🌐 FAS PSD / WASDE
⚖ Actual vs Forecast
📊 USDA NASS QuickStats — Historical Actuals

Official USDA price received and yield data by commodity, state, and year. Price auto-populates Storage Loss market price (SF20-S.003). Yield provides per-acre quantity reference for drying and storage calculators.

Select a commodity and click Fetch to load historical price and yield data.

Source: USDA NASS QuickStats. Reference data used as fallback. Not endorsed by NASS.

🌐 FAS PSD / WASDE — Current Forecast

Monthly USDA WASDE forecast β€” U.S. production, use, ending stocks, and projected season-average price. Use alongside NASS actuals to stress-test storage loss and drying calculations against forecast price scenarios.

Select a commodity and click Fetch to load USDA WASDE forecast data.

Source: USDA FAS PSD Online (WASDE-aligned monthly forecast). Reference data used as fallback.

⚖ Actual vs Forecast Comparison

Side-by-side view of NASS historical actuals versus USDA WASDE forecast. Fetch both sources first, then select a commodity to compare. Use the price difference to run scenario analysis in the economics calculators.

Fetch NASS and WASDE data first, then click Compare.

Tip: Use the WASDE forecast price in economics calculators to model best-case / worst-case ROI scenarios alongside the NASS actual.

πŸ”₯ Grain Drying Energy Calculator

Model SF20-S.001

Calculate energy requirements, drying time, and fuel cost for high-temperature grain drying. Based on USDA-ARS psychrometric equations and grain equilibrium moisture content models.

πŸ“‘ Moisture Monitoring & EMC Calculator

Model SF20-S.002

Determine equilibrium moisture content, safe storage thresholds, and mold risk window based on temperature and relative humidity. Based on USDA-ARS microwave sensing research and Modified Henderson EMC equations.

πŸ“¦ Post-Harvest Storage Loss Calculator

Model SF20-S.003

Estimate dry matter loss, quality degradation, and economic value loss from improper grain storage conditions. Models fungal, respiration, and insect loss pathways based on USDA post-harvest research.

🌻 Oilseed Quality & Processing Calculator

Model SF20-S.004

Analyze oilseed quality parameters including oil content, protein content, moisture-adjusted grade, and foreign material dockage. Based on USDA-ARS nondestructive sensing and grading research.

Why AgrStak 🌾 Grain Science Tools?

Built on USDA-ARS research from the RRRC, Athens, GA β€” including Micah Lewis's microwave sensing and grain moisture work as Research Agricultural Engineer β€” AgrStak's SF20 calculators translate federal grain science into real-time farm decisions. From drying cost optimization to moisture equilibrium analysis, these 4 models support grain farmers, elevator operators, post-harvest specialists, and agricultural researchers. Part of AgrStak's 431-model platform β€” patent pending.

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Ask me about grain drying, moisture monitoring, post-harvest storage losses, or oilseed processing.