IJMTES – EFFICIENT CROP YIELD AND PESTICIDE PREDICTION FOR IMPROVING AGRICULTURAL ECONOMY USING DATA MINING TECHNIQUES

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : EFFICIENT CROP YIELD AND PESTICIDE PREDICTION FOR IMPROVING AGRICULTURAL ECONOMY USING DATA MINING TECHNIQUES

Author’s Name : T R Lekhaa  unnamed

Volume 03 Issue 10 2016

ISSN no:  2348-3121

Page no: 110-113

Abstract – Agriculture planning plays a significant role in economic growth and food security of agro-based country. Information technology has helped agricultural sector in managing and maintaining the necessary details. The crop(s) plays an important role in agriculture planning. Many researchers studied prediction of yield rate of crop, prediction of weather, soil classification and crop classification for agriculture planning. The proposed method resolves in selecting the crop(s) based on prediction yield rate influenced by parameters (e.g. weather, soil type, water density, crop type, pesticides) and also focuses on crop yield prediction, soil classification, pesticide prediction and online trading based on agriculture commodities.   

Keywords— Soil Composition, Climate, Plant Composition, PH Content, Crop Prediction Algorithm, Pesticide Prediction

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