Data Science Applications in Indian Agriculture

Devalkar, S K and Seshadri, S and Ghosh, C and Mathias, A (2018) Data Science Applications in Indian Agriculture. Production and Operations Management, 27 (9).

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Abstract

Agricultural supply chains in the developing world face the daunting task of feeding a growing population in the coming decades. Along with the provision of food, sustaining livelihoods, enhancing nutrition and the ability to cope with rapid changes in the environment and marketplaces are equally important to millions of small farmers. Data science can help in many ways. In this article, we outline the beginnings of data science applications in Indian agriculture. We cover various initiatives such as data collection, visualization and information dissemination, and applications of algorithmic data analysis techniques for decision support. We describe one application under development that provides timely price information to farmers, traders, and policy makers.

Affiliation: Indian School of Business
ISB Creators:
ISB CreatorsORCiD
Devalkar, S Khttp://orcid.org/0000-0002-3708-9104
Seshadri, Shttp://orcid.org/0000-0002-7917-5537
Item Type: Article
Uncontrolled Keywords: data science, agricultural operations, India, price analytics
Subjects: Operations Management
Operations Management > Supply Chain Management
Depositing User: Veeramani R
Date Deposited: 14 Feb 2018 11:48
Last Modified: 01 Apr 2019 07:36
URI: http://eprints.exchange.isb.edu/id/eprint/555
Publisher URL: http://dx.doi.org/10.1111/poms.12834
Publisher OA policy: http://www.sherpa.ac.uk/romeo/issn/1059-1478/
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