ABSTRACT
This chapter focuses on strategies and steps taken to improve farming by focusing on technical knowledge and development to make the agricultural sector more reliable and easier for the farmers by predicting the suitable crop by using Machine learning techniques by sensing parameters like soil, weather, and market trends. Gathering accurate data from these sensors is a relatively easy task, but the prediction of crop type from the gathered data requires knowledge and the implementation of high-level algorithms. In the method of data mining technique, farming is a relatively new technique for predicting of horticulture crops, forecasting or animal management, etc. The method is given by the article applications of data-mining methods in the area of horticulture and associated sciences.
