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Analysis of Intelligent Crop Recommendation System

  • Satadru Hazra,
  • Nidhi Sindhwani,
  • Rashmi Vashisth

摘要

Many nations depends on agriculture for their economic success and India is one of them. Indian economy is majorly based on agriculture. Indian farmers’ biggest problem is that they typically choose the wrong crop for their soil types and climatic conditions. Due to these Indian farmers experience a significant decline in their crop production. Farmers utilized precision farming to address this problem. Using latest technology, precision farming is a modern farming technique that maximizes crop production. Precision agriculture is a contemporary farming process that maximizes crop production by utilizing innovative and latest technology. It entails applying data analysis to customize crop management plans to fields to cut expenses and increase efficiency. By using this technology, farmers can lower the environmental impact of their farming practices while increasing crop yields and decreasing waste. This technology advises farmers on the best crop to plant depending on site-specific factors like soil types, characteristics, and weather conditions. In this project by using information about the timing of the sowing season, the location of the farmer’s farm, and the characteristics of the soil, we hope to create an intelligent system that will assist Indian farmers in selecting the best crop to plant.