AI - Based Crop Recommendation for Farmers

Agriculture is a significant factor in supporting the world's population, but sometimes, it becomes challenging for the farmers to decide on the crops to be grown considering the diverse nature of the soil, climate, and market demands, as well as a lack of proper guidance. A proposed AI-based crop recommendation system that helps the farmers take proper decisions in the field of agriculture. The proposed system uses machine learning algorithms to consider important factors like soil nutrients, temperature, humidity, rainfall, pH, and current market demands to recommend the best crop for farming. A multilingual web-based system helps the farmers of different linguistic backgrounds to input the environmental values and receive the recommendations in the desired language. The proposed system helps to increase the yield, optimize resources, and maximize the returns while reducing the risk of crop failure. The results of the experiments show the accuracy and efficiency of the proposed model.

Crop Recommendation System, Precision Agriculture, Soil Nutrients Analysis, Agriculture analytics

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