International Journal of Advanced Research in Computer and Communication Engineering

Abstract- Agriculture provides most of the world’s food and fabrics.Cotton ,wool and leather are agricultural product .Agriculture also provides wood for construction and paper products .These product, as well as the agricultural methods used, may vary from one part of the world to another . In general, agriculture is the backbone of India also plays an important role in the Indian economy. Now-a-days , food production and prediction are getting scarcity due to unnatural climate changes, which will adversely affect the economy of farmers by getting a poor yield and also help the agriculture analysis to remain less familiar with forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction .Supervised machine learning algorithm puts in the way to achieve it . The seed data of the crops are collected here, with the appropriate parameters like nitrogen, phosphorous, temperature, humidity, ph and rainfall content, which helps the crops to achieve the successful growth. To prevent this problem , agricultural sectors have to predict the crop from a given dataset using machine learning techniques. Also we are calculating the performance matrics.

Downloads: | DOI: 10.17148/IJARCCE.2023.124210