Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model

Abstract

Regardless of the technological progress, the agricultural sector remains unorganized in India. With respect to present geographic, social and economic trends, the Indian agricultural sector needs to change and adopt artificial intelligence by combining the practical knowledge derived from generations and the scientific basis. By performing the computations on the historical data and using AI, we can predict the crop for cultivation. This article deals with the comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model (CSPM).