Fecha de publicación: 23/07/2021 Fuente: Wipo "precision agriculture" ABSTRACTOur Invention Indian Crop and Fertilizer Recommendation System using AI and Machine Learning Techniques is anexisting system for crop recommendation relies on mere one to 1 interaction among farmers, it should result in wrong selection of crop and affects the productivity. thus, our planned system overcomes this drawback by analysis of soil report and prediction of best profitable crop and acceptable fertilizer for Indian farmer. Precision agriculture (PA) permits precise utilization of inputs like seed, water, pesticides, and fertilizers at the correct time to the crop for maximizing productivity, quality and yields. By deploying sensors and mapping fields, farmers will perceive their field during a higher method conserve the resources being employed and cut back adverse effects on the atmosphere. Machine learning techniques give economic framework for data-driven higher cognitive process. This invention provides a review on set of machine learning techniques to support the farmers in creating call concerning right crop to grow looking on their field’s outstanding attributes. A technique of for generating a crop recommendation, a plurality knowledge sets square measure received by an automatic data processing system from a plurality of disparate data sources, whereby every of same plurality of knowledge sets describes an element poignant a crop. A report is then generated by the pc system comprising a minimum of one recommendation to extend the value of the crop.