Telangana state is in the southern part of India where the Godavari and Krishna rivers flow providing important water resources for agriculture. Agriculture is the primary occupation of the major population in the state, and it is also one of the essential sectors that majorly contributes to the state’s economy. Accurate estimation of crop yield production is essential for sustainable agricultural development, food security, and poverty reduction. Therefore, various supervised machine learning procedures have been used to forecast the crop yield production in Telangana State. In this work, various algorithms are applied to the Telangana crop yield dataset. The results generated by these algorithms have been analysed and compared. With the help of crop yield analysis, farmers know their yield before their farming practice so that they can reveal and resolve their crop yield challenges. This article suggests a machine learning algorithm for the farmers to detect and solve their crop yield problems.