• Ashwini Mahale
• Pratiksha Anarase
• Kajal Patil
• Kiran Garad

Agriculture is that the mainstay of a rising economy in India. Traditionally farmers followed ancestral farming patterns and norms. However, one farmer can't be expected to require under consideration all innumerable factors that contribute to crop growth. One misguided or imprudent decision by the farmer can have undesirable ramifications. With the advancements in various domains, an intelligent agricultural system is needed for the upliftment of the Indian economy. The collaboration of the recommender system with machine-learning will lead to an Intelligent Agriculture System that helps the farmer community in their decision making of farm management and agribusiness activities such as crop disease prediction, weather forecasting, etc. It also helps a farmer to perform the activities like crop management including applications on disease prediction, fertilizers recommendation, crop quality, and growth prediction, etc. The study includes identification of crop condition, disease detection, prediction about the specific crop, and recommendation using machine learning algorithms. It gives an idea about how the recommender system is used in agriculture for disease detection and prediction.

Agriculture; machine learning; recommender system; disease detection; Classification Rule; K-Nearest Neighbor (kNN); Density based clustering; IOT; etc.

"KRUSHI-MITRA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.e841-e848, May-2022, Available :http://www.jetir.org/papers/JETIR2205598.pdf

"KRUSHI-MITRA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppe841-e848, May-2022, Available at : http://www.jetir.org/papers/JETIR2205598.pdf