433
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.
