The focus of the paper is to recommend crops to farmers based on their geographical location, soil and weather conditions. India is a country where agriculture employs a significant amount of the country’s population. Regardless of that agriculture contributes only about 15-17% of the country’s total Gross Domestic Product. Also the suicide rates of farmers are increasing in India due to lack of information or less produce or no produce. Some reasons for this are growing crops that are incompatible with the type of soil, the weather conditions or the water content. Another reason is the inexperience of novice farmers in the field of agriculture. One solution to solve this dwindling produce is to use a crop recommendation system that recommends crops to farmers using filtering techniques like collaborative filtering and content-based filtering and machine learning algorithms. By doing this the farmers would be recommended crops that would maximize their crop yield and grow healthier crops.

Farming, Agriculture, Machine Learning, Recommendation System, Filtering Techniques.

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