An Ontology-Driven Framework for Animal Traceability in Botswana
DOI:
https://doi.org/10.7160/aol.2025.170108How to Cite
Abstract
This study developed an ontology-driven framework for animal traceability (ODF-AT) in Botswana, aiming to enhance interoperability, integration, and standardization among stakeholders in the livestock sector. The framework addresses challenges in disease monitoring, theft prevention, and compliance with international trade standards. A mixed-methods approach was employed, utilizing qualitative and quantitative data collection through interviews, structured questionnaires, and project mapping with NVivo software. Stakeholders, including farmers, veterinary professionals, government officials, and Botswana Meat Commission representatives, provided insights into current practices and traceability challenges. The ODF-AT consists of four layers: input, semantic core, knowledge management, and application. It integrates technologies like ontology-based knowledge management and sensor devices, enabling real-time data capture, secure processing, and user-friendly interfaces. Results show that the ODF-AT improves data exchange and communication among stakeholders, offering a scalable and reliable system for livestock management. Although the framework shows promise, further research is needed to adapt it for other regions, overcome practical implementation challenges, and validate its effectiveness through pilot projects.References
Addo-Tenkorang, R., Gwangwava, N., Ogunmuyiwa, E. and Ude, A. (2019) "Advanced animal track-&-trace supply-chain conceptual framework: an Internet of Things approach", Procedia Manufacturing, Vol. 30, No. 1, pp. 56-63. ISSN 2351-978. DOI: https://doi.org/10.1016/j.promfg.2019.02.009
Arvana, M., Rocha, A. and Barata, J. (2023) "Agri-food value chain traceability using blockchain technology: Portuguese hams' production scenario", Foods, Vol. 12, No. 23, pp. 1-27, p. 4246. ISSN 2304-8158. DOI: https://doi.org/10.3390/foods12234246
Atanasova, I. (2011) "Implementation of subontology of planning and control for business analysis domain", AGRIS on-line Papers in Economics and Informatics, Vol. III, No. 1, pp. 45-52. ISSN 1804–1930.
Bahta, S., Temoso, O., Ng'ombe, J., Rich, K., Baker, D., Kaitibie, S. and Malope, P. (2023) "Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis", Frontiers in Sustainable Food Systems, Vol. 7, No. 1, p. 1098642. ISSN 2571-581X. DOI: https://doi.org/10.3389/fsufs.2023.1098642
Bai, H., Zhou, G. H., Hu, Y., Sun, A., Xu, X.-L., Liu, X. and Lu, C. (2017) "Traceability technologies for farm animals and their products in China", Food Control, Vol. 79, No. 2, pp. 35-43. ISSN 0956-7135. DOI: https://doi.org/10.1016/j.foodcont.2017.02.040
Bowling, M., Pendell, D., Morris, D. L., Yoon, Y., Katoh, K., Belk, K. and Smith, G. (2008) "REVIEW: Identification and traceability of cattle in selected countries outside of North America", Professional Animal Scientist, Vol. 24, No. 4, pp. 287-294. ISSN 1080-7446. DOI: https://doi.org/10.15232/S1080-7446(15)30858-5
Chen, M., Hu, E., Kuen, L. and Wu, L. (2021) "Study on consumer preference for traceable pork with animal welfare attribute", Frontiers in Psychology, Vol. 12, No. 1, p. 675554. ISSN 1664-1078. DOI: https://doi.org/10.3389/fpsyg.2021.675554
Chen, T., Kaifang, D., Hao, S., Li, G. and Qu, J. (2019) "Batch-based traceability for pork: A mobile solution with 2D barcode technology", Food Control, Vol. 107, No. 2, p. 106770. ISSN 0956-7135. DOI: https://doi.org/10.1016/j.foodcont.2019.106770
Cresswell, J. W. and Cresswell, J. D. (2022) "Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th Edition)", Newcastle upon Tyne, the UK: Sage. ISBN-13 978-1071817940.
Cresswell, J. W. and Plano Clark, V. L. (2018) "Designing and Conducting Mixed Methods Research", Thousand Oaks: SAGE Publications. ISBN 1483346986.
Data-Driven Surveillance (2024) "Animal Health Ontology". [Online]. Available: http://datadrivensurveillance.org/animal-health-ontology-aho/ [Accessed: Dec. 2, 2024].
European Commission (2019) "Commission Delegated Regulation (EU) 2019/2035 of 28 June 2019 supplementing Regulation (EU) 2016/429 of the European Parliament", Brussels, Belgium: European Commission.
European Commission (2024) "Identification and registration of certain kept terrestrial animals", Brussels, Belgium: European Commission.
Fernández-López, M., Gomez-Perez, A. and Juristo Jugzado, N. (1997) "METHONTOLOGY: From ontological art towards ontological engineering", Ontological Engineering AAAI-97 Spring Symposium Series, pp. 33-40. Stanford, the US: Stanford University. [Online]. Available: https://aaai.org/papers/0005-ss97-06-005-methontology-from-ontological-art-towards-ontological-engineering/ [Accessed: Dec. 2, 2024].
Füzesi, I., Herdon, M. and Péntek, A. (2010) "Food tracing and interoperability of information systems in the Hungarian meat industry", AGRIS On-line Papers in Economics and Informatics, Vol. II, No. 2, pp. 39-48. ISSN 1804–1930.
García-Infante, M., Castro-Valdecantos, P., Delgado-Pertíñez, M., Teixeira, A., Guzmán, J. L. and Horcada, A. (2024) "Effectiveness of machine learning algorithms as a tool to meat traceability system: A case study to classify Spanish Mediterranean lamb carcasses", Food Control, Vol. 164, No. 1, p. 110604. ISSN 0956-7135. DOI: https://doi.org/10.1016/j.foodcont.2024.110604
Gbashi, S. and Njobeh, P. (2024) "Enhancing food integrity through artificial intelligence and machine learning: a comprehensive review", Applied Sciences, Vol. 14, No. 8, p. 3421. ISSN 2076-3417. DOI: https://doi.org/10.3390/app14083421
Girish, P. S., Santosh, K., Kartikeya, K., Palekar, P. H. H. C. and Rathod, S. (2020) "Artificial intelligence based muzzle recognition technology for individual identification of animals", The Indian Journal of Animal Sciences, Vol. 90, No. 7, pp. 1070-1073. ISSN 2394-3327. DOI: https://doi.org/10.56093/ijans.v90i7.106684
Government of Botswana (2022) "User Application for Botswana Animal Identification and Traceability System (BAITS)", Government of Botswana. [Online]. Available: https://www.gov.bw/animal-husbandry/user-application-botswana-animal-identification-and-traceability-system-baits [Accessed: Nov. 30, 2024].
Heard, J., Scoular, C., Duckworth, D., Ramalingam, D. and Teo, I. (2020) "Critical Thinking: Definition and Structure", Melbourne: Australian Council for Educational Research. ISBN 978-1-74286-587-4.
Hernandez San Juan, I. and González-Vaqué, L. (2020) "The blockchain technology and the regulation of traceability: the digitization of food quality and safety", European Food and Feed Law Review, Vol. 15, No. 6, pp. 563-570. ISSN 18622720, 21908214.
León, L., Llerena, A., Freire, M., Mesías, F. and Tejerina, D. (2024) "Effectiveness of handheld near infrared spectrometer for traceability of Angus steaks", Food Chemistry, Vol. 455, No. 1, p. 139958. ISSN 0308-8146. DOI: https://doi.org/10.1016/j.foodchem.2024.139958
Marinello, F., Atzori, M., Lisi, L., Boscaro, D. and Pezzuolo, A. (2017) "Development of a traceability system for the animal product supply chain based on blockchain technology", 8th European Conference on Precision Livestock Farming ECPLF, pp. 258-268. Nantes, France.
Medennikov, V. (2024) "Digital twin of livestock production in unified digital platform of Russian agriculture management", International Scientific Conference Ecological and Biological Well-Being of Flora and Fauna, Vol. 116, p. 02012. Blagoveschensk, Russia: EDP Sciences. ISSN 2117-4458. DOI: https://doi.org/10.1051/bioconf/202411602012
Mutua, F., Lindahl, J. and Randolph, D. (2020) "Possibilities of establishing a smallholder pig identification and traceability system in Kenya", Tropical Animal Health and Production, Vol. 52, No. 31, pp. 859-870. ISSN 1573-7438. DOI: https://doi.org/10.1007/s11250-019-02077-9
Mwanga, G., Mbega, E., Yonah, Z. and Chagunda, M. (2020) "How information communication technology can enhance evidence-based decisions and farm-to-fork animal traceability for livestock farmers", The Scientific World Journal, Vol. 2020, No. 1, p. 1279569. ISSN 1537-744X. DOI: https://doi.org/10.1155/2020/1279569
Navia, M., Chancay-García, L., Cedeño-Sarmiento, C. and Mendoza-Briones, D. (2024) "A systematic literature review about sensors systems and applications for livestock vital signs monitoring", Revista Politécnica, Vol. 53, No. 2, pp. 69-78. ISSN 2477-8990. DOI: https://doi.org/10.33333/rp.vol53n2.07
Nkatekho, B. (2024) "Animal welfare policies and their effect on livestock productivity and trade", International Journal of Livestock Policy, Vol. 3, No. 2, pp. 27-40. ISSN 2957-4382. DOI: https://doi.org/10.47941/ijlp.1967
Oladele, O. I. and Jood, M. (2010) "Factors affecting adoption of livestock identification and trace-back system among cattle farmers in Kgalagadi district, Botswana", Livestock Research for Rural Development, Vol. 12, No. 8, p.147. ISSN 0121-3784.
Paul, R. and Elder, L. (2020) "Critical Thinking: Learn the Tools the Best Thinkers Use" (Concise ed.). Old Bridge, NJ: Pearson Prentice Hall. ISBN-13 978-0131703476.
Pereira, E., Araújo, Í., Vieira Silva, L.F., Batista, M., Júnior, S., Barboza, E., Santos, E., Gomes, F., Trindade Fraga, I., Davanso, R., Oliveira dos Santos, D. and de Araújo Nascimento, J. (2023) "RFID technology for animal tracking: A survey", IEEE Journal of Radio Frequency Identification, Vol. 7, pp. 609-620. ISSN 2469-7281. DOI: https://doi.org/10.1109/JRFID.2023.3334952
Resti, Y., Reynoso, G., Probst, L., Indriasari, S., Mindara, G., Hakim, A. and Wurzinger, M. (2024) "A review of on-farm recording tools for smallholder dairy farming in developing countries", Tropical Animal Health and Production, Vol. 56, No. 1, p. 168. ISSN 1573-7438. DOI: https://doi.org/10.1007/s11250-024-04024-9
Salina, A., Hassan, L., Saharee, A., Mohammed Jajere, S., Stevenson, M. and Ghazali, K. (2021) "Assessment of knowledge, attitude, and practice on livestock traceability among cattle farmers and cattle traders in peninsular Malaysia and its impact on disease control", Tropical Animal Health and Production. Vol. 53, No. 1, p. 15. ISSN 1573-7438. DOI: https://doi.org/10.1007/s11250-020-02458-5
Tran, D., Schouteten, J., Gellynck, X. and Steur, H. (2024) "How do consumers value food traceability? – A meta-analysis", Food Control, Vol. 162, No. 1, p. 110453. ISSN 0956-7135. DOI: https://doi.org/10.1016/j.foodcont.2024.110453
Tripoli, M. and Schmidhuber, J. (2020) "Optimising traceability in trade for live animals and animal products with digital technologies", Revue Scientifique et Technique de l'OIE, Vol. 39, No. 1, pp. 235-244. ISSN 1608-0637. DOI: https://doi.org/10.20506/rst.39.1.3076
Van Engelen, A., Malope, P., Keyser, J. and Neven, D. (2013) "Beef value chain study: Botswana agrifood value chain project", Gaborone: FAO and the Ministry of Agriculture, Botswana. ISBN 978-92-5-107446-6.
Walunj, A. and Gourkar, R. (2024) "Blockchain in animal health care and their records maintenance", International Journal of Multidisciplinary Research in Science, Engineering and Technology, Vol. 7, No. 6, pp. 11044-11047. ISSN 2582-7219. DOI: https://doi.org/10.15680/IJMRSET.2024.0706056
Wilson, J. and Bruni-Bossio, V. (2020) "Using visual mapping to communicate connections between learning outcomes and student tasks", International Journal of Designs for Learning, Vol. 11, No. 3, pp. 13-22. ISSN 2159-449X. DOI: https://doi.org/10.14434/ijdl.v11i3.26101
Witt, J., Krieter, J., Büttner, K., Wilder, T., Hasler, M., Bussemas, R., Witten, S. and Czycholl, I. (2024) "Relationship between animal-based on-farm indicators and meat inspection data in pigs", Porcine Health Management, Vol. 10, No. 1, p. 8. ISSN: 2055-5660. DOI: https://doi.org/10.1186/s40813-024-00359-9
Zanetoni, H. H. R., Marcal de Queiroz, D., Chizzotti, M. L., Mendonça, R. D., da Costa-Baêta, F., da Freitas Coelho, A. L and Nacif, J. A. M. (2024) "Blockchain applied to the traceability of animal products: a systematic literature review", Revista Ciência Agronômica, Vol. 55, No. 1, p. e20238702. ISSN 1806-6690. DOI: https://doi.org/10.5935/1806-6690.20240033
Zhao, J., Li, A., Jin, X. and Pan, L. (2020) "Technologies in individual animal identification and meat products traceability", Biotechnology & Biotechnological Equipment, Vol. 34, No. 1, pp. 48-57. ISSN 1314-3530. DOI: https://doi.org/10.1080/13102818.2019.1711185
