Predicting the Farmland for Agriculture from Soil Features Using Machine Learning

Abstract— Agriculture has been a crucial part of human society due to the fact that the civilization growth directly depends on agriculture. Advancements in agriculture are necessary to raise food production as the population is increasing day by day. We need to explore the use of innovative methods to improve crop selection for the soil depending on its texture, type, moisture, temperature, humidity, soil erosion, and slope. Machine Learning, can help us in learning the data, analyzing the data fields predicting the future. For predicting the farmland, supervised machine learning techniques are used. India’s agriculture land over all its states has been used to predict whether it is farmland or not using Machine Learning Algorithms and making the resources available beforehand.

Index Terms—Agriculture, food production, Supervised Machine Learning, Machine Learning Algorithms.