AI-Driven Platform for Precision Agriculture

Category: Software
Organization: Ministry of Agriculture and Farmers Welfare

Abstract

The project proposes developing an AI-Driven Precision Agriculture Platform using Python. The platform will integrate various tools for precision farming, offering real-time data analytics and recommendations.

Features

  • Sensor Integration: Collect data from soil, weather, and crop sensors to monitor conditions in real-time.
  • Predictive Analytics: Use machine learning models to predict crop growth stages and recommend interventions.
  • Resource Optimization: Optimize the use of water, fertilizers, and pesticides to maximize yield and minimize environmental impact.

Expected Outcome: The platform will enhance productivity and sustainability in agriculture by enabling farmers to make data-driven decisions.

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