An Artificial Intelligence and Cloud Based Collaborative Platform for Plant Disease Identification, Tracking and Forecasting for Farmers

Plant diseases have a significant impact on crop yield and agricultural productivity. Early detection and continuous monitoring of plant diseases are important for helping farmers manage crops effectively. This paper proposes an Artificial Intelligence (AI) and cloud-based collaborative platform for plant disease identification, tracking, and forecasting. The system employs deep learning techniques, particularly Convolutional Neural Networks (CNN), to detect plant diseases from leaf images captured through mobile devices. The identified disease data is stored and processed in a cloud environment, enabling real-time data sharing and large-scale monitoring. In addition, the platform tracks disease occurrences and utilizes historical information to forecast potential outbreaks. By integrating AI with cloud computing, the proposed system improves the accuracy, scalability, and accessibility of disease diagnosis while assisting farmers in taking timely preventive actions.