Classification of soil texture using Machine Learning Technique

The application of Machine Learning techniques in various scientific fields has increased rapidly. The increasing availability of soil data and open access algorithms has led to an accelerated adoption of Machine Learning techniques to analyse soil data. Soil classification deals with the systematic categorization of soils according to distinct characteristics and criteria. The work presented in this brief is the subject of the use of Machine Learning techniques for the classification of soil texture. We will apply the Data Visualization on a set of soil data and then use Machine Learning methods that make it easy for us to distinguish different compositions in order to establish a soil type prediction through very precise algorithms like LDA, KNN, etc. The objective of this approach allows us to achieve the best classification algorithm that gives us the best classification of the soil.