Publication Date: 2023/07/08
Abstract: Recommendation systems have become increasingly common in recent years. The use of recommender systems has become common in an assortment of commercial applications. There are software tools and techniques that provide suggestions for items of use to the user called recommender systems. Recommender systems help users to make various decisions such as what item to buy, what music to listen to, which book to read, etc. But in the field of agriculture, the selection of crop and cropping techniques has a significant impact on the productivity and financial success of farmers. So many parameters including rainfall, soil properties, crop rotation, land preparation, and uncontrollable elements like weather, have an impact on crop recommendations are involved with uncertainty a good recommender system is required. It is unfortunate that there is no universal system to assist farmers in agriculture. Most Indian farmers cultivate at their own discretion and follow the pattern and norms of ancestral farming. Due to a lack of adequate technical knowledge, they do not get enough production and profit. By using recommendations that are appropriate for them, the proposed agricultural recommender system will assist the farmers in minimising their losses and maximizing their profits. Based on the necessary parameters, this system helps the farmers in selecting a suitable crop for farming.
Keywords: Crop Recommendation, Supervised Learning, Classification Models.
DOI: https://doi.org/10.5281/zenodo.8126314
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN1580.pdf
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