Crop and Nutrient Recommendation System using Machine Learning for Precision Agriculture

• Published in: 2022 International Conference on Artificial Intelligence and Data Engineering (AIDE) pp. 230 - 235
• Main Authors: Shedthi, B Shabari, Shetty, Vidyasagar, Anusha, Shetty, Rakshitha R, Shetty, Anisha, Alva, B.A Divyashree
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22-12-2022
• Subjects: Agriculture; Crop suggestion; Crops; Data engineering; Machine learning; Nutrient suggestion; Productivity; Soil
• DOI: 10.1109/AIDE57180.2022.10059913

India is the land of agriculture, which is the backbone of the country. The most common issue among young Indian farmers is selecting the appropriate crop based on soil requirements. Due to this, they face a serious setback in productivity. The proposed work aims to assist farmers by analysing the soil's numerous properties and making crop recommendations based on the findings using a machine learning method. The system uses the machine learning techniques to build the crop suggestion system. The system maps the input given by the user with the crop data that is already stored in the database to predict the crop that is most appropriate for the user's soil and environment. In addition, if the user inputs the crop that he desires to grow along with the nutrient content of the soil, then the system returns information about the excess or deficient nutrient content that is present in this soil with respect to the crop the farmer desires to grow. Based on the results obtained, the farmer can make the right decision on which crop to grow based on the soil requirements.