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A Data Analytics Framework for Decision-Making in Agriculture

  • Sudha ShankarEmail author
  • Madhuri Rao
  • Prajwala Shetty
  • Jui Thombre
  • Harshita Manek
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 612)

Abstract

Data Analytics and Information Communication Technologies have a key role to play in decision-making in Agriculture. It is important that these technologies are used strategically, during the process of policymaking, so that better and effective policies can be formulated. Policymaking should be carried out with a proper monitoring mechanism in place, duly supported by Data Analytics and the proactive involvement of all stakeholders. Agriculture constitutes a very important domain in India and hence decision making in this sector is very crucial for the Gross Domestic Product (GDP) of the country and for majority of the rural population. In this paper, we present a framework which uses three Data Analytics technologies for effective policymaking in the Agriculture sector. The Data Analytics technologies discussed are Simulation, Social Networking, and Statistical Analysis. The framework presents the application of each of the technologies mentioned, in the process of framing a policy for the agriculture domain. With the help of these technologies, this framework attempts to help both the policymaker and the farmer to achieve a more accurate and evidence-based decision-making.

Keywords

Data analytics Information communication technologies Decision making Agriculture Framework Policymaking 

Notes

Acknowledgements

Questionnaires were distributed for data collection with the full consent of the ethics committee, which comprised of, Dr. G. T. Thampi, Principal Thadomal Shahani Engineering College, Bandra, Mumbai, Dr. Tanuja K. Sarode, Professor and Head of Department of Computer Engineering, Thadomal Shahani Engineering College, Bandra, Mumbai and Dr. Archana Bhupendra Patankar, Dean Research, Thadomal Shahani Engineering College, Bandra, Mumbai.

The questionnaires were distributed to human participants who submitted their responses.

We are grateful to Mr. Anil Patil, a progressive farmer, who organized meetings with the human participants. We wish to thank Mr. Bijoy Kumar, then Principal Secretary (Agriculture) Maharashtra and Mr. Nerkar, the District Superintending Agriculture Officer at Palghar, Maharashtra for all their guidance and support.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Sudha Shankar
    • 1
    Email author
  • Madhuri Rao
    • 1
  • Prajwala Shetty
    • 1
  • Jui Thombre
    • 1
  • Harshita Manek
    • 1
  1. 1.Department of Information TechnologyThadomal Shahani Engineering College, Mumbai UniversityMumbaiIndia

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