Classification of Pests for Rice Crop Using Big Data Analytics


  • R. P. L. Durgabai Department of Computer Science, Sri Padmavati Mahila Visva Vidyalayam, Andhra Pradesh, India
  • P. Bhargavi Department of Computer Science, Sri Padmavati Mahila Visva Vidyalayam, Andhra Pradesh, India
  • S. Jyothi Department of Computer Science, Sri Padmavati Mahila Visva Vidyalayam, Andhra Pradesh, India


Rice Crop, Pest, Production, Big Data, Agriculture


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.


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How to Cite

Durgabai, R. P. L., Bhargavi, P., & Jyothi, . S. (2019). Classification of Pests for Rice Crop Using Big Data Analytics. Asian Journal of Computer Science and Technology, 8(3), 27–31. Retrieved from