A Comprehensive Plant Health Monitoring System with IoT and Deep Learning

Ensuring optimal crop yield and quality relies heavily on the efficient monitoring of plant health. To address the challenges associated with physically monitoring plant well-being, we introduce a system designed to compute an overall plant health score and present it visually. This system leverages an IoT cloud platform to relay the plant's health parameters to users. Should the plant's health deteriorate, users will receive email notifications regarding its current condition. Furthermore, we intend to incorporate a deep learning algorithm capable of predicting plant diseases. This algorithm will undergo training on extensive publicly available datasets, enabling it to detect plant diseases on a larger scale. Our proposed system presents a holistic solution for streamlined plant health monitoring, disease detection, and user communication. It holds the potential to transform the approach to plant health monitoring, leading to enhancements in crop yield and quality.