AgriDefend is an offline-first edge AI system for pre-phenotypic crop stress detection, built to give farmers earlier intervention signals before visible wilting appears.
The invention includes a hardware bridge using ADS1115 + MAX485 to let a Raspberry Pi communicate with RS-485 Modbus soil sensors, plus a multimodal late-fusion AI architecture combining CNN visual analysis with Random Forest soil telemetry.
The system achieved 87% diagnostic accuracy and provides a 4-day early warning window before visible wilting occurs. Field testing included 21 Acres Farm and Hawthorn Farms, with the attached prototype hardware used as the bridge enclosure.
Patent: AgriDefend: Hardware Bridge + Multimodal Edge AI for Early Crop Stress Detection, provisional application 64/055,521, filed May 2, 2026.
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