GrainGuard-AI: Thermodynamic Post-Harvest Loss Prevention Engine & ASABE D245.7 Psychrometric Specification

GrainGuard-AI: Thermodynamic Post-Harvest Loss Mitigation Specification This scientific technical note publishes the thermodynamic formulation, automated psychrometric state machine, and empirical field simulation logs of the GrainGuard-AI engine. System Highlights: Implementation of ASABE Standards D245.7 (Chung-Pfost Equilibrium Moisture Content modeling) for corn, soybeans, and wheat; Humid Air Lockout State Machine preventing bulk grain re-wetting during high-humidity autumn cold fronts (>85% RH); Dual thermal/moisture gradient evaluation (ΔT > 8.0°C respiration suppression); Empirical validation on a 500,000-bushel commercial grain elevator in Champaign County, Illinois; Automated pytest suite executed in 0.13s with 100% deterministic test passage. Proprietary Notice: Core microcontroller firmware binaries, neural network spoilage forecasting models, and commercial actuation relay circuits remain exclusive trade secrets and intellectual property of Enzo Oliveira dos Santos.