Published Paper Details:

Agriculture is the primary industry in India and provides employment and generates income. However, Indian farmers often face issues with low productivity due to incorrect crop selection and fertilizer usage. The Precision Crop Care Recommender System is a modern farming technique that utilizes research data on soil characteristics, crop production statistics, and soil types to suggest the optimum crop and fertilizers to farmers based on their specific location. This system significantly boosts production and reduces the number of times farmers pick the wrong crop. The recommendation system employs machine learning models such as Random Forest, Naive Bayes, Support Vector Machine, and Logistic Regression for high accuracy and efficiency. The fertiliser suggestion system is based on Python logic. The system compares the crop's ideal nutrients with the user-entered information to suggest fertilizers based on the nutrient's variation classification as HIGH or LOW.