AI ALGORITHMS USED IN THE ESTIMATION AND ANTICIPATION OF CROP PRODUCTION: A SURVEY

This article is a survey study of various techniques and the models used in the forecasting of the plant produce in the agricultural sector. Agro based sector is a huge domain with the large economic status of any country. This paper is aimed to focus on the spatial data mining algorithm based on the deep learning models to anticipate the crop growth through the estimation of various factors including climatic changes and soil attributes. Data mining is a novel technique in the artificial intelligence model which is used to design a pattern based on the big data set and inadequate data sets. Hence these techniques are used to forecast the yield as the data obtained in the agriculture domain are always non-linear and unstable.