Pesticide recommendation system for cotton crop diseases due to the climatic changes
Journal Title: International Journal of Modern Research In Engineering & Management. - Year 2018, Vol 1, Issue 1
Abstract
Data mining is a process of extracting knowledge from a vast database using tools and techniques. Data mining plays an important role in decision making on issues related to many real-time problems such as business, education, agriculture etc. Data mining in agriculture helps the farmers to decide on crop yield ratio, water resource management, pesticides management and fertilizer management. Nowadays, climatic change is one of the challenging problems in agriculture which has a greater impact on productivity. Many researchers have contributed in the field of agriculture data mining i) To predict crop productivity, ii) water management, iii) air pollution using the naïve bias and decision tree algorithms. The Proposed work is to predict the diseases due to Climatic changes and recommended pesticide for the disease. Decision tree algorithm is used to develop a recommendation system which helps to the farmer in the usage of pesticide for the incidence of crop diseases
Authors and Affiliations
Mrs. ’s. Pudumalar Pudumalar
Keywords
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