Development of a decision support system for animal health management using geo-Information technology : a novel approach to precision livestock management

dc.contributor.authorPanda, Sudhanshu S.
dc.contributor.authorTerrill, Thomas H.
dc.contributor.authorSiddique, Aftab
dc.contributor.authorMahapatra, Ajit K.
dc.contributor.authorMorgan, Eric R.
dc.contributor.authorPech-Cervantes, Andres A.
dc.contributor.authorVan Wyk, Jan Aucamp
dc.contributor.emailjan.vanwyk@up.ac.zaen_US
dc.date.accessioned2024-07-31T12:13:36Z
dc.date.available2024-07-31T12:13:36Z
dc.date.issued2024-05
dc.descriptionThis article belongs to the Special Issue titled 'Advancing Animal Welfare: Precision Livestock Farming Technologies for Monitoring and Preventing Abnormal Behavior'.en_US
dc.descriptionDATA AVAILABILITY STATEMENT : Data can be provided upon request to Corresponding Author.en_US
dc.description.abstractLivestock 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.en_US
dc.description.departmentVeterinary Tropical Diseasesen_US
dc.description.sdgSDG-02:Zero Hungeren_US
dc.description.sdgSDG-09: Industry, innovation and infrastructureen_US
dc.description.sponsorshipThe USDA-NIFA (Capacity Building Grant).en_US
dc.description.urihttps://www.mdpi.com/journal/agricultureen_US
dc.identifier.citationPanda, S.S.; Terrill, T.H.; Siddique, A.; Mahapatra, A.K.; Morgan, E.R.; Pech-Cervantes, A.A.; Van Wyk, J.A. Development of a Decision Support System for Animal Health Management Using Geo-Information Technology: A Novel Approach to Precision Livestock Management. Agriculture 2024, 14, 696. https://doi.org/10.3390/agriculture14050696.en_US
dc.identifier.issn2077-0472 (online)
dc.identifier.other10.3390/agriculture14050696
dc.identifier.urihttp://hdl.handle.net/2263/97373
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en_US
dc.subjectGeospatial technologyen_US
dc.subjectSite-specific forage management (SSFM)en_US
dc.subjectDecision support system (DSS)en_US
dc.subjectRadio-frequency identification (RFID)en_US
dc.subjectAnimal health remote management (AHRM)en_US
dc.subjectSmart-phone app developmenten_US
dc.subjectSDG-02: Zero hungeren_US
dc.subjectSDG-09: Industry, innovation and infrastructureen_US
dc.titleDevelopment of a decision support system for animal health management using geo-Information technology : a novel approach to precision livestock managementen_US
dc.typeArticleen_US

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