Smart Agriculture System

Global agriculture faces an unprecedented convergence of challenges: feeding 9.7 billion people by 2050 requires a 70% production increase, while climate change threatens yields through temperature rises (1.5–4°C by 2100), extreme weather events (doubled in frequency), water scarcity (affecting 2 billion people), and soil degradation (33% of agricultural land). This research addresses these challenges through a comprehensive smart agriculture system integrating cutting-edge technologies in a novel five-layer architecture. The system delivers five breakthrough innovations: 1. Edge AI infrastructure using NVIDIA Jetson AGX Orin (275 TOPS) achieving sub-50ms inference latency with 7-day offline operation through federated learning; 2. Multi-modal data fusion harmonizing 68 features from IoT sensor networks, drone fleets, satellite imagery, weather APIs, and soil microbiome DNA sequencing; 3. Advanced deep learning achieving 98.7% crop disease detection accuracy (187,453 images, 22 crops, 47 diseases), LSTM-Transformer yield prediction (R²=0.963), YOLOv8 pest identification (89.3 mAP), and Mask R-CNN weed segmentation (94.2% IoU); 4. Hyperledger Fabric blockchain providing immutable farm-to-consumer traceability reducing fraud by 67% while increasing farmer price premiums by 23%; 5. Digital twin technology coupling real-time sensor synchronization with physics-based crop models (DSSAT, APSIM) enabling 31% water savings through scenario simulation.