AI-Driven Crop Disease Prediction and Management System

by Shivam Kashyap

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.

View more: Top 10 Problem Statements with Solution Ideas for Smart India Hackathon 2024 on Agriculture, Food Tech & Rural Development

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