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Development of a Decision Support System for Animal Health Management Using Geo-Information Technology: A Novel Approach to Precision Livestock Management

Author

Listed:
  • Sudhanshu S. Panda

    (Institute for Environmental Spatial Analysis, University of North Georgia, 3820 Mundy Mill Road, Oakwood, GA 30566, USA)

  • Thomas H. Terrill

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Aftab Siddique

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Ajit K. Mahapatra

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Eric R. Morgan

    (Institute for Global Food Security, Queen’s University, University Road, Belfast BT7 1NN, UK)

  • Andres A. Pech-Cervantes

    (Department of Agricultural Sciences, Fort Valley State University, 1005 State University Drive, Fort Valley, GA 31030, USA)

  • Jan A. Van Wyk

    (Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag x04, Onderstepoort 0110, South Africa)

Abstract

Livestock management is challenging for resource-poor (R-P) farmers due to unavailability of quality feed, limited professional advice, and rumor-spreading about animal health condition in a herd. This research seeks to improve animal health in southern Africa by promoting sericea lespedeza ( Lespedeza cuneata ), a nutraceutical forage legume. An automated geospatial model for precision agriculture (PA) can identify suitable locations for its cultivation. Additionally, a novel approach of radio-frequency identifier (RFID) supported telemetry technology can track animal movement, and the analyses of data using artificial intelligence can determine sickness of small ruminants. This RFID-based system is being connected to a smartphone app (under construction) to alert farmers of potential livestock health issues in real time so they can take immediate corrective measures. An accompanying Decision Support System (DSS) site is being developed for R-P farmers to obtain all possible support on livestock production, including the designed PA and RFID-based DSS.

Suggested Citation

  • Sudhanshu S. Panda & Thomas H. Terrill & Aftab Siddique & Ajit K. Mahapatra & Eric R. Morgan & Andres A. Pech-Cervantes & Jan A. Van Wyk, 2024. "Development of a Decision Support System for Animal Health Management Using Geo-Information Technology: A Novel Approach to Precision Livestock Management," Agriculture, MDPI, vol. 14(5), pages 1-20, April.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:696-:d:1385268
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    References listed on IDEAS

    as
    1. Christos Tzanidakis & Ouranios Tzamaloukas & Panagiotis Simitzis & Panagiotis Panagakis, 2023. "Precision Livestock Farming Applications (PLF) for Grazing Animals," Agriculture, MDPI, vol. 13(2), pages 1-23, January.
    2. Sudhanshu S. Panda & Thomas H. Terrill & Ajit K. Mahapatra & Eric R. Morgan & Aftab Siddique & Andres A. Pech-Cervantes & Jan A. van Wyk, 2023. "Optimizing Sericea Lespedeza Fodder Production in the Southeastern US: A Climate-Informed Geospatial Engineering Approach," Agriculture, MDPI, vol. 13(9), pages 1-15, August.
    3. Sudhanshu S. Panda & Thomas H. Terrill & Ajit K. Mahapatra & Brian Kelly & Eric R. Morgan & Jan A. van Wyk, 2020. "Site-Specific Forage Management of Sericea Lespedeza: Geospatial Technology-Based Forage Quality and Yield Enhancement Model Development," Agriculture, MDPI, vol. 10(9), pages 1-17, September.
    4. Michael F. Goodchild, 2018. "A GIScience Perspective on the Uncertainty of Context," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(6), pages 1476-1481, November.
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