Abstract-This paper shows the overview of rice crop yield prediction. Examines Different data mining techniques utilized for foreseeing rice crop yield. Rice crop creation assumes an imperative part in sustenance security of India, contributing over 40% to general yield generation. High harvest generation is reliant on appropriate climatic conditions. Inconvenient regular atmosphere conditions, for example, low precipitation or temperature extremes can drastically diminish edit yield. Growing better strategies to foresee edit efficiency in various climatic conditions can help rancher and different partners in vital basic leadership as far as agronomy and harvest decision. This paper reports utilization of various information mining methods will anticipate rice trim yield for Maharashtra state, India. To this review, 27 regions of Maharashtra were picked on the establishment of accessible information from openly available Indian Administration records with different atmosphere and harvest parameters. Precipitation, least temperature, normal temperature, most extreme temperature, reference trim evapotranspiration, range, generation and yield for the Kharif season (June to November) were the parameters choosen for the study for the years 1998 to 2002. WEKA tool was used for dataset processing
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