Crop Combination And Market Prediction using ML methods
Sree Nidhi M, Ashwathy S Kumar, S Tarun, Dinesh Kumar, Prajwala TR · 2024
Agriculture’s sustainability crisis, marked by soil degradation and unbalanced ecosystems, calls for innovative solutions. Our web application addresses this by aiding farmers in crop selection and market prediction, rooted in the principles of healthier cropping methods. Crop rotation, a time-honored technique dating back to ancient civilizations, has been scientifically proven to combat soil nutrient depletion, pest infestations, and erosion, crucial for long-term land productivity. The application’s recommendation of leguminous sub-crops, like soybeans, plays a pivotal role in enriching soils with nitrogen, a key factor in increasing yields of subsequent crops without the excessive use of synthetic fertilizers. Studies, including one by Washington State University, have shown that crop rotation can significantly increase harvests, with some cases reporting up to a 58% yield increase. Integrating these agricultural best practices with advanced predictive models for market prices, our application empowers farmers with knowledge to enhance soil health, boost crop yields, and make informed market decisions, thereby contributing substantially to sustainable farming and economic stability.