Predicting the Farmland for Agriculture from the Soil Features Using Data Mining

摘要

Agriculture is one of the significant distinct and income creating segment in India. Various seasons and Organic Patterns impact the harvest creation, but since the change in these may bring about a phenomenal misfortune to ranchers. These elements can be limited by utilizing an appropriate methodology identified with the information on soil type, strength, reasonable climate, type of crop. Our aim of Soil Features should meet these fundamental prerequisites, i.e., it needs to discover whether a specific land is versatile for Agriculture, with the ideal conditions for farming, and to improve the precision of the calculations and contrast to locate the best among the three. This encourages us to arrange which land is for Farming and which one is Non Farming. This encourages us to develop crops and do horticulture. The framework is stacked with soil pieces of information like the region, locale it is available, surface of dirt, water system scaling, pivot, yield, soil disintegration, wind disintegration, slant, evacuation, and so forth. The chi-square element calculation is utilized for Feature Extraction, Selection, and Scaling. It diminishes the clamor highlights of the dataset and enhances the highlights for the framework to process. The precision will be created and expanded with the assistance of the calculations like DNN, Random Forest, and Linear Discriminant Analysis. The results show that the proposed conspire isn't just doable yet additionally assists ranchers with understanding their ecological list of homesteads.