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This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.
The Crop Health Management and Monitoring project harnesses the power of machine learning to provide a comprehensive solution for farmers and agricultural professionals. This system offers real-time monitoring, predictive analytics, and actionable insights to help maintain optimal crop health.
This repository features the development of an AgroTech Solutions system. It includes a data-driven crop recommendation system, offering guidance on optimal fertilizer usage based on soil conditions, and an integrated solution for early detection of crop diseases.