A Survey on Various Data Mining Techniques in Field of Agriculture for Prediction of Crop Yield

Description

Crop production is totally depended on number of factors like geography, weather, biological and economical.
Massive amount of different sources of raw agricultural data is present, but analysis these facts are very complicated for yield estimation of crop and implement in Big data mining Techniques. Whereas most efficient forecasting analysis tools used in agriculture data are KNN, k-means, and SVM. ANN and SVM are the most widely used methods to explore the useful data extensively in the area of agriculture.