Sustainable Fertilizer Usage Optimizer for Higher Yield

Category: Software
Organization: Ministry of Agriculture and Farmers Welfare

Abstract

The project proposes developing a Sustainable Fertilizer Recommendation System using Python. The system will analyze soil health, crop type, and weather patterns to provide farmers with optimized fertilizer usage recommendations.

Features

• Soil Data Analysis: Machine learning algorithms will analyze soil samples to determine nutrient content.
• Custom Recommendations: The system will suggest the right type and amount of fertilizer to use for specific crops.
• Predictive Modeling: Predicts future soil conditions and crop yields based on current practices.

Expected Outcome: By optimizing fertilizer use, this system will promote sustainable farming practices, improve soil health, and increase crop yields.

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