Prediction of Soil and Crop Yield using Big Data Analysis

India is an essentially rural nation. It is the primary wellspring of salary for farmers, so farmers are constantly inquisitive about yield expectation. Harvest yield relies upon different components like soil, climate, downpour, composts and pesticides. A few elements impact sly affect agribusiness, which can be measured utilizing fitting factual techniques. Applying such approaches and methods on recorded yield of harvests, it is conceivable to get data or information which can be useful to ranchers and government associations for settling on better choice and arrangements which lead to expanded creation. The goal of the work is to look at different information mining strategies which gives the most extreme exactness. Information mining is just the way that helps to change over immense information into innovations and make them accessible to the ranchers. The immense measure of information can be used to mine chunk of information that can be valuable for ranchers and leaders to take compelling and brief choice. Right now, discussed some significant apparatuses and system handle and study enormous information.