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Farm-n-Pedia: Expert mobile agricultural knowledge-based system for Indian Farmers

Author

Listed:
  • Ashmean Kaur Sran

    (Faculty of Business Administration, Memorial University of Newfoundland, St. John’s NL A1C5S7, Canada)

  • Sherrie Yi Komiak

    (Faculty of Business Administration, Memorial University of Newfoundland, St. John’s NL A1C5S7, Canada)

  • Sabir Manzoor

    (Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s NL A1C5S7, Canada)

Abstract

Efficiency in farming productivity and optimum utilization of resources in the agriculture sector in developing countries is a challenge that can be addressed with technological advancement. There is also a strong need to work on the farming community’s engagement to make better farming decisions. This study aims to create an expert knowledge-based system (KBS) in a mobile application to help Indian farmers improve their agricultural practices and increase crop productivity. A prototype mobile application, ‘Farm-n-Pedia,’ is designed and used to fulfill the farmers’ informational and engagement needs. It provides a tool for agriculture management using a single platform. The expert KBS incorporates a crowdsourcing system as part of the knowledge base and interface design. The mobile application enables the users to access the worldwide information they want, get personalized expert guidance, interact with the local agrarian community, know about the latest farming techniques and technology, crowdsource data collection and increase agricultural productivity. Key Words:Agriculture app, Knowledge-based system, social media, crowdsourcing, farming, crop productivity

Suggested Citation

  • Ashmean Kaur Sran & Sherrie Yi Komiak & Sabir Manzoor, 2021. "Farm-n-Pedia: Expert mobile agricultural knowledge-based system for Indian Farmers," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(7), pages 27-39, October.
    • Handle: RePEc:rbs:ijbrss:v:10:y:2021:i:7:p:27-39
    DOI: 10.20525/ijrbs.v10i7.1437
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    References listed on IDEAS

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