ECOSCAN :THE SMART SOLUTION FOR HEALTHY CROPS

Agriculture remains the foundation of global food security and rural livelihoods, yet it faces several complex challenges such as unpredictable weather patterns, pest infestations, and soil degradation.The lack of modern technological integration often results in resource wastage and yield loss.The proposed system, ECOSCAN, is a smart, web-based agricultural platform designed to empower farmers with real-time data insights using IoT sensors, artificial intelligence (AI), and machine learning (ML) techniques.It integrates soil and environmental sensors with cloud-based analytics to monitor soil health, crop growth, and disease occurrence.The system employs a Convolutional Neural Network (CNN) for plant disease detection and a Random Forest algorithm for irrigation and fertilizer optimization.ECOSCAN also features a user-friendly web interface that displays critical farm data, predictive alerts, and actionable recommendations in real-time.Experimental evaluation demonstrated that ECOSCAN achieved a 93% disease detection accuracy, reduced water usage by 28%, and improved average crop yield by 15%.This research highlights the importance of combining AI and IoT to promote sustainable agriculture, reduce human effort, and enhance productivity.ECOSCAN offers a scalable, cost-effective, and accessible solution adaptable to various agricultural environments.