Application of DataMining tool to crop management system

It is important to estimate crop production for various policy decisions relating to storage, distribution, pricing, marketing, import-export, etc. The estimation of major crops was issued by Directorate of Economics and Statistics. However, these advance estimates are only gustimates and not the objective estimates. Researchers have concentrated on estimating lots of subjective assessment based on several qualitative factors. Thus there is a need to develop statistical model to forecasts crop acreage and production. In this paper authors have developed integrated crop model for selected cash crops (Rice, Groundnut, Soyabin, Ragi) from the sample data collected from twelve talukas of Kolhapur district, Maharashtra state. Analysis and estimation of yield was done using data mining tool constructed by Matlab. One can use this model for estimating yield of any crop. The advances in computing and information storage have provided major factors for calculating and assessing the results. The challenge has been to extract knowledge from this raw data; this has lead to new methods and techniques such as data mining that can bridge the knowledge of the data to the crop yield estimation. This research aimed to assess these new data mining techniques and apply them to the various variables consisting in the database to establish if meaningful relationships can be found.