CROPS RECOMMENDATION BASED ON RAIN DATA USING MACHINE LEARNING
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 4)Publication Date: 2020-04-30
Authors : Sis Maharjan; Ramsharan Diyali; Asst. Shashikala;
Page : 11-14
Keywords : Machine learning application; Naïve Bayes; Rain Data; Crop recommendation; supervised learning;
Abstract
India being an agricultural country, its economy predominantly depends on agriculture yield growth and allied agro-industry products. In India, agriculture is largely influenced by rainwater which is highly unpredictable. India now is rapidly progressing towards technical development. Thus, technology will prove to be beneficial to agriculture which will increase crop productivity resulting in better yields to the farmer. In this paper considering the environmental, physical and economic factors we are using Naïve Bayes to recommend the crop which gives the high yield rate. Main objective of this project is to explore a way by which farmers from beginner to experienced level get maximum profit from agriculture and in the meantime can ease their way of agriculture.
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Last modified: 2020-04-15 17:16:28