A Survey on Data Mining Approach for Crop Yield Prediction and Soil behavior Analysis

A Survey on Data Mining Approach for Crop Yield Prediction and Soil behavior Analysis
Author(s):
FALGUNI PRAJAPATI, J S DHOBI
Keywords:
Yield Prediction, Data Mining, Classification Rule, Soil Analysis.
Abstract
Agriculture is one of the major revenue producing sectors of India and a source of survival. Several seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil, temperature, atmospheric pressure, humidity and crop type. Whereas, crop and weather forecasting can be predicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would like to plant for the forthcoming year leading to maximum profit. This paper presents a survey on the various algorithms used for crop yield prediction.
Article Details
Unique Paper ID: 145440 Publication Volume & Issue: Volume 4, Issue 10 Page(s): 68 - 71
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