Jjda-042 Jun 2026

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| | Description | Stakeholders | |---------------|----------------|-----------------| | UAV Fleet | 12 modular, VTOL drones (5 kg payload, 30 min endurance). Equipped with multispectral, LiDAR, and thermal sensors. | AeroDynamics Inc., DroneOps Ltd. | | Ground Station & Edge Computing | Ruggedized 2U rack units with NVIDIA Jetson AGX, running the AgriSense™ inference stack. | AgriTech Labs | | Data Platform | Cloud‑native, serverless architecture (AWS Aurora + S3 + SageMaker). Provides APIs for farm‑MGR software. | CloudServe Corp. | | Analytics & Decision Engine | Deep‑learning models for (a) canopy health, (b) evapotranspiration, (c) disease‑early‑warning. Trained on 2 M historic flight passes. | University of Illinois – Agri‑AI Lab | | Field Trials | 8 farms across Illinois, Indiana, and Iowa. Diverse soil types, irrigation regimes, and crop rotations. | FarmCo Partners (list in Appendix A) | JJDA-042