"This proposal presents an integrated swarm robotics system for simultaneous autonomous weeding and multi-parameter soil monitoring in precision agriculture.The innovation addresses two critical agricultural challenges: weed management causing 20-40% yield losses globally, and soil degradation affecting 33% of agricultural land. Unlike existing solutions that address these challenges separately requiring multiple field operations, our system combines AI-powered weed detection with comprehensive soil health monitoring in a single platform.

The coordinated swarm of intelligent robots employs CNN-based models trained for 50+ Indian weed species achieving over 90% accuracy, GPS-guided navigation with ±2cm precision, and multi-parameter sensors monitoring eight critical soil indicators including moisture, pH, N-P-K levels, organic matter, compaction, and temperature. The swarm architecture enables decentralized control, fault tolerance, and scalable field coverage.

Solar-powered operation with edge computing reduces carbon footprint by 50% compared to cloud-based systems. The 12-month project plan progresses from AI model training and prototype development to field validation and commercial readiness, targeting small and medium farmers with affordable technology priced at ₹3.5-4.5 Lakhs per system that delivers 40-50% cost reduction, 20-30% yield enhancement, and 70% herbicide reduction."