Author : Savita M. Gungewale 1
Date of Publication :6th February 2018
Abstract: India is known as an agricultural country, where the recommendations for use of fertilizers are given by traditional methods. At present, recommendations for farmers are based on communication between farmers and experts and different experts have a variety of recommendations. The proposed work uses past agricultural activities as a data for providing the recommendation to the farmers. The objective is to develop a decision support system for optimizing fertilizer used for agriculture, enabling farmers to maximize crop yields, save cost and increase their profits. In the proposed system, data mining is applied to recommend fertilizers which are interpreted from different soil test results. C4.5 can be used to effectively classify training data and use that training data to recommend fertilizers. The proposed system accepts nutrients and crop as an input and recommends organic, inorganic fertilizers and remark as a result. The farmers get access to an easy-to-use interface that eliminates the guesswork and minimizes the uncertainties involved in making fertilizer management decisions
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