Soil Nutrient Analysis for the Cultivation of Plants using Machine Learning Algorithms

The machine learning algorithm is used to analyze the minerals of the soil to identify which plants to be cultivated on the specific land. In proposed work, Combining the Random Forest and Support Vector Machine algorithms namely, multi-model approach. This approach helps to get an adequate information about which plant can be grown on basis of nature of the soil. The multi-model approach improved the prediction accuracy, especially when certain categories of nutrients were selected for classification. The proposed method is going to explore the different levels of nutrient characterization, ranging from 3 to 13 levels to get more precise nutritional information. This approach is highly beneficial for farmers to develop better harvests.