International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,February 2018,

Topic : Decision Support System for Fertilizer Recommendation

Authors:Savita M. Gungewale || Dr. V. V. Bag

Abstract:India is known as an agricultural country, where the recommendations for use of fertilizers is 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. .

Keywords: Agriculture, C4.5 Algorithm, , Classification, Data Mining, Farmers, Fertilizers Recommendations

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DOI: 01.1617/vol5/iss2/pid13026


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
ARTICLES PUBLISHED:00007
PAPER RECEIVED:000028
Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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