2.8K
Category: Software
Organization: Ministry of Agriculture and Farmers Welfare
Abstract
This project involves creating an AI-Powered Crop Disease Detection System using Python. The system will analyze images of crops taken by farmers using their smartphones and predict potential diseases using deep learning models.
Features
- Image Classification: Convolutional Neural Networks (CNNs) will classify images of crops to identify signs of diseases.
- Environmental Data Integration: The system will integrate weather data to predict the likelihood of disease outbreaks.
- Actionable Insights: Farmers will receive real-time recommendations on preventive measures and treatments.
Expected Outcome: Early detection and management of crop diseases will help farmers prevent significant yield losses, ensuring better productivity and profitability.
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