Development of Crop Health Monitoring System

Monitoring crop health is vital for sustainable agriculture. Integrating computer vision and AI/ML enables real-time analysis, disease detection, and precision interventions. Techniques like SVM, random forest, and gradient boosting enhance decision-making and productivity. This research explores region-specific challenges and opportunities, supporting future-ready, profitable, and environmentally responsible farming solutions.