Cyber-Physical Systems for Agricultural Loss Mitigation and Margin Optimization in the U.S. Grain Belt: A Thermodynamic & Predictive Architecture
Year: 2026
Type: article
Abstract: FarmMargin v1.2: Empirical Engineering Benchmark & Cyber-Physical Validation Report This release publishes the empirical execution benchmarks, automated test suite verification, and commercial field simulation logs for the FarmMargin platform on a 2,000-acre commercial corn holding in Story County, Iowa. Core Architectural & Empirical Modules: ASABE Standards D245.7 Chung-Pfost Equilibrium Moisture Content (EMC) calculations; GrainGuard-AI Silo Aeration Fan State Machine (ΔT and ΔM gradient evaluations); Deterministic break-even financial calculations based on USDA ERS production budgets; Zero floating-point rounding error verification via arbitrary-precision Decimal arithmetic; Empirical automated pytest suite executing in 0.30s with 100% assertion pass rate. Proprietary Intellectual Property Notice: All production firmware binaries, internal trading heuristics, and execution engines remain exclusive trade secrets and intellectual property of FarmMargin Systems / Enzo Oliveira dos Santos.
Author: Oliveira dos Santos, Enzo
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7225374657