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Application and Scope of Data Mining in Agriculture

( Vol-3,Issue-7,July 2016 ) OPEN ACCESS
Author(s):

Kaushik Bhagawati, Amit Sen, Kshitiz Kumar Shukla, Rupankar Bhagawati

Keywords:

Data Mining, Agriculture, Sustainability, Information, Knowledge Discovery.

Abstract:

Making agriculture sustainable and resilient to the ongoing change in climate and social structure is a major challenge for the scientists and researchers across the globe. Agricultural system demands transition and a multidisciplinary approach. Intelligent and precision agricultural approaches were given due importance for increasing production and productivity from the very same limited resources. The approach needs information from various sources and efficient use of them in relevant field. This need lead to growing interest in knowledge discovery from vast piles of data generated out of various research and survey works. The emergence of Data Mining techniques revolutionized the field of information generation and pattern recognition. Though Data Mining is an emerging science, it finds a wide application in agriculture and allied sectors, and has a wide future prospect.

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