Asian Journal of Computer Science and Technology (AJCST)
Classification of Pests for Rice Crop Using Big Data Analytics
Author : R. P. L. Durgabai, P. Bhargavi and S. JyothiVolume 8 No.3 Special Issue:June 2019 pp 154-158
Abstract
Data, in today’s world, is essential. The Big Data technology is rising to examine the data to make fast insight and strategic decisions. Big data refers to the facility to assemble and examine the vast amounts of data that is being generated by different departments working directly or indirectly involved in agriculture. Due to lack of resources the pest analysis of rice crop is in poor condition which effects the production. In Andhra Pradesh rice is cultivated in almost all the districts. The goal is to provide better solutions for finding pest attack conditions in all districts using Big Data Analytics and to make better decisions on high productivity of rice crop in Andhra Pradesh.
Keywords
Rice Crop, Pest, Production, Big Data, Agriculture
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