1. Home
  2. Vol 5, No 2 (2024)
  3. Indriasari

Requirements Engineering of Knowledge Management System for Smallholder Dairy Farmers

Sofiyanti Indriasari, Dana I. Sensuse, Yuni Resti, Maria Wurzinger, Deden S. Hidayat, Bayu Widodo

Abstract


This research aims to investigate aspects of knowledge management in smallholder dairy farming, focusing on four primary objectives: understanding the existing knowledge management processes, identifying the necessary knowledge for management, exploring the dominant knowledge management processes and the factors influencing them, and assessing the use of technology in supporting the knowledge management system. Through a qualitative and quantitative approach, this study successfully identified various needs that will aid in developing a knowledge management system. The research results show that the knowledge management process in small-scale dairy farming involves farmers, cooperatives, extension services, and industry. Farmers in livestock management undertake a holistic knowledge management process. Cooperatives augment this by creating guidebooks from best practices, holding training meetings, distributing informational materials, overseeing milk quality standards, and enhancing skills. Extension workers bridge theoretical knowledge with practical application. The industry plays a crucial role by offering comprehensive training, monitoring standards, and supporting farmers' professional development. The findings indicate that knowledge sharing is the dominant process, involving knowledge related to livestock care, reproduction, milk transactions, animal health, and farmer finance. The key factors influencing this process are People, Technology, and Organization. The results provide a solid foundation for further developing a more technical knowledge management system for smallholder dairy farmers, offering new insights into effective processes and technologies for knowledge management in this field.

 

Doi: 10.28991/HEF-2024-05-02-02

Full Text: PDF


Keywords


Knowledge Management System; Dairy Farm Management; Knowledge in Dairy Farm; Farm Management System.

References


Gardeazabal, A., Lunt, T., Jahn, M. M., Verhulst, N., Hellin, J., & Govaerts, B. (2023). Knowledge management for innovation in agri-food systems: a conceptual framework. Knowledge Management Research and Practice, 21(2), 303–315. doi:10.1080/14778238.2021.1884010.

Fote, F. N., Roukh, A., Mahmoudi, S., Mahmoudi, S. A., & Debauche, O. (2020). Toward a big data knowledge-base management system for precision livestock farming. Procedia Computer Science, 177, 136–142. doi:10.1016/j.procs.2020.10.021.

Ong, R. J., Raof, R. A. A., Sudin, S., & Choong, K. Y. (2021). A Review of Chatbot development for Dynamic Web-based Knowledge Management System (KMS) in Small Scale Agriculture. Journal of Physics: Conference Series, 1755(1), 012051. doi:10.1088/1742-6596/1755/1/012051.

Verma, A., Agrawal, M., Gupta, K., Jamshed, A., Mishra, A., Khatter, H., Gupta, G., & Neupane, S. C. (2022). Plantosphere: Next Generation Adaptive and Smart Agriculture System. Journal of Sensors, 5421312. doi:10.1155/2022/5421312.

Rachmawati, R. R. (2021). Smart Farming 4.0 Untuk Mewujudkan Pertanian Indonesia Maju, Mandiri, Dan Modern. Forum Penelitian Agro Ekonomi, 38(2), 137. doi:10.21082/fae.v38n2.2020.137-154.

Kalhori, M. R. N., Emami, I. T., Fallahi, F., & Tabarzadi, M. (2022). A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting. Applied Energy, 314. doi:10.1016/j.apenergy.2022.118975.

Huang, H. C. (2009). Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. Expert Systems with Applications, 36(1), 209–218. doi:10.1016/j.eswa.2007.09.046.

Fadamiro, A. O., Lawal, H. O., & Ogunti, E. O. (2022). Development of a Web Based Agricultural Extension Services Using Knowledge Management (Km). FUTA Journal of Engineering and Engineering Technology, 16(1), 27–32. doi:10.51459/futajeet.2022.16.1.360.

Goude, R. G. D., & J, D. B. (2022). Agribuzz- Agriculture Management System. International Journal for Research in Applied Science and Engineering Technology, 10(4), 1204–1206. doi:10.22214/ijraset.2022.41209.

Murali, E., & Anouncia, S. M. (2022). Visualization of Multiple Ontology Agro Knowledge Mining Model. International Journal of Reliability, Quality and Safety Engineering, 29(5), 22410017. doi:10.1142/S0218539322410017.

Bülent Gürbüz, İ., & Bayar, F. (2019). Knowledge Management System for Agriculture; A Case Study from Bursa Province. Journal of Agricultural Faculty of Bursa Uludag University, 33(1), 1-13.

Short, N. M., Woodward-Greene, M. J., Buser, M. D., & Roberts, D. P. (2023). Scalable Knowledge Management to Meet Global 21st Century Challenges in Agriculture. Land, 12(3), 588. doi:10.3390/land12030588.

Vangala, R. N. K., & Mishra, G. (2023). A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context. Studies in Big Data, 121, 109–121. doi:10.1007/978-981-99-0577-5_6.

Tumwebaze, R. P., Walsh, J. N., & Lannon, J. (2022). A Systematic Literature Review of Agriculture Knowledge Management in KM and non-KM Journals. Proceedings of the European Conference on Knowledge Management, ECKM, 23(2), 1195–1201. doi:10.34190/eckm.23.2.313.

Zanuzzi, C. M. da S., Foguesatto, C. R., Tonial, G., Pivoto, D., & Selig, P. M. (2021). Knowledge management practices in an agribusiness chain: differences between farmers who are members of agricultural cooperatives and suppliers of firms. International Journal of Social Economics, 48(11), 1629–1645. doi:10.1108/IJSE-11-2020-0781.

Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023). Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, 66(1), 87-99. doi:10.1016/j.bushor.2022.03.002.

Davenport, T. H. (1998). Working knowledge: how organizations manage what they know. Choice Reviews Online, 35(09), 35-5167-35–5167. doi:10.5860/choice.35-5167.

Dalkir, K. (2013). Knowledge Management in Theory and Practice. Knowledge Management in Theory and Practice. The MIT Press, Massachusetts, United States. doi:10.4324/9780080547367.

Crossan, M. M. (1996). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Journal of International Business Studies, 27(1), 196-201. doi:10.1057/jibs.1996.13.

Auzins, A., Leimane, I., & Dreijere, S. (2023). Modelling of Farm-Gate Nitrogen Balance in Dairy Farming – Case Study of Latvia. Engineering for Rural Development, 22, 864–871). doi:10.22616/ERDev.2023.22.TF167.

Ule, A., Erjavec, K., & Klopčič, M. (2023). Influence of dairy farmers’ knowledge on their attitudes towards breeding tools and genomic selection. Animal, 17(6), 100852. doi:10.1016/j.animal.2023.100852.

Bellagi, R. D., Kadian, K. S., & Patil N. D., C. (2022). A test to measure the knowledge of dairy farmers on improved feed and fodder management practices. Gujarat Journal of Extension Education, 34(1), 73–78. doi:10.56572/gjoee.2022.34.1.0015.

Hogeveen, H., Varner, M. A., Brée, D. S., Dill, D. E., Noordhuizen-Staseen, E. N., & Brand, A. (1994). Knowledge Representation Methods for Dairy Decision Support Systems. Journal of Dairy Science, 77(12), 3704–3715. doi:10.3168/jds.S0022-0302(94)77315-X.

Moysiadis, V., Sarigiannidis, P., Vitsas, V., & Khelifi, A. (2021). Smart Farming in Europe. Computer Science Review, 39, 100345. doi:10.1016/j.cosrev.2020.100345.

Fielke, S., Taylor, B., & Jakku, E. (2020). Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review. Agricultural Systems, 180, 102763. doi:10.1016/j.agsy.2019.102763.

Eastwood, C., Ayre, M., Nettle, R., & Dela Rue, B. (2019). Making sense in the cloud: Farm advisory services in a smart farming future. NJAS - Wageningen Journal of Life Sciences, 90–91, 100298. doi:10.1016/j.njas.2019.04.004.

Ayre, M., Mc Collum, V., Waters, W., Samson, P., Curro, A., Nettle, R., Paschen, J. A., King, B., & Reichelt, N. (2019). Supporting and practising digital innovation with advisers in smart farming. NJAS - Wageningen Journal of Life Sciences, 90–91, 100302. doi:10.1016/j.njas.2019.05.001.

Rijswijk, K., Klerkx, L., & Turner, J. A. (2019). Digitalisation in the New Zealand Agricultural Knowledge and Innovation System: Initial understandings and emerging organisational responses to digital agriculture. NJAS - Wageningen Journal of Life Sciences, 90–91(January), 100313. doi:10.1016/j.njas.2019.100313.

van der Burg, S., Bogaardt, M. J., & Wolfert, S. (2019). Ethics of smart farming: Current questions and directions for responsible innovation towards the future. NJAS - Wageningen Journal of Life Sciences, 90–91(1), 100289. doi:10.1016/j.njas.2019.01.001.

Fakhar Manesh, M., Pellegrini, M. M., Marzi, G., & Dabic, M. (2021). Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues. IEEE Transactions on Engineering Management, 68(1), 289–300. doi:10.1109/TEM.2019.2963489.

Alemu, D., Jennex, M. E., & Assefa, T. (2018). Agricultural knowledge management system development for knowledge integration. Proceedings of the Annual Hawaii International Conference on System Sciences, 2018-January, 4317–4326. doi:10.24251/hicss.2018.544.

Skobelev, P. O., Simonova, E. V., Smirnov, S. V., Budaev, D. S., Voshchuk, G. Y., & Morokov, A. L. (2019). Development of a knowledge base in the “smart farming” system for agricultural enterprise management. Procedia Computer Science, 150, 154–161. doi:10.1016/j.procs.2019.02.029.

Iaksch, J., Fernandes, E., & Borsato, M. (2020). Digitalization and big data in smart farming - Bibliometric and systemic analysis. Advances in Transdisciplinary Engineering, 12, 115–124. doi:10.3233/ATDE200068.

Ingram, J., Maye, D., Bailye, C., Barnes, A., Bear, C., Bell, M., Cutress, D., Davies, L., de Boon, A., Dinnie, L., Gairdner, J., Hafferty, C., Holloway, L., Kindred, D., Kirby, D., Leake, B., Manning, L., Marchant, B., Morse, A., … Wilson, L. (2022). What are the priority research questions for digital agriculture? Land Use Policy, 114. doi:10.1016/j.landusepol.2021.105962.

Vukadinović, S., Ješić, J., Okanović, A., & Lovre, I. (2022). Digital agriculture: The case of the Autonomous Province of Vojvodina. Ekonomika Poljoprivrede, 69(1), 133–145. doi:10.5937/ekopolj2201133v.

Contreras-Medina, D. I., Sánchez Osorio, E., Olvera Vargas, L. A., & Romero Romero, Y. (2019). Technology road mapping architecture based on knowledge management: Case study for improved indigenous coffee production from Guerrero, Mexico. Journal of Sensors, 2019, 17. doi:10.1155/2019/5860905.

Mazzetto, F., Gallo, R., Riedl, M., & Sacco, P. (2019). Proposal of an ontological approach to design and analyse farm information systems to support Precision Agriculture techniques. IOP Conference Series: Earth and Environmental Science, 275(1), 012008. doi:10.1088/1755-1315/275/1/012008.

Ciruela-Lorenzo, A. M., Del-Aguila-Obra, A. R., Padilla-Meléndez, A., & Plaza-Angulo, J. J. (2020). Digitalization of agri-cooperatives in the smart agriculture context. Proposal of a digital diagnosis tool. Sustainability (Switzerland), 12(4), 1325. doi:10.3390/su12041325.

Symeonaki, E., Arvanitis, K., & Piromalis, D. (2020). A context-aware middleware cloud approach for integrating precision farming facilities into the IoT toward agriculture 4.0. Applied Sciences (Switzerland), 10(3), 813. doi:10.3390/app10030813.

Kulikov, I., Semin, A., Skvortsov, E., Ziablitckaia, N., & Skvortsova, E. (2020). Challenges of enterprise resource planning (ERP) implementation in agriculture. Entrepreneurship and Sustainability Issues, 7(3), 1847–1857. doi:10.9770/jesi.2020.7.3(27).

Pölönen, I., Suokannas, A., & Juntunen, A. (2021). Cloud-based approach for tracking and monitoring of hay bales in smart agriculture. Technology Innovation Management Review, 11(2), 17–23. doi:10.22215/TIMREVIEW/1419.

Marinchenko, T. E. (2021). Digital Technology in Agricultural Sector. IOP Conference Series: Earth and Environmental Science, 666(3), 032024. doi:10.1088/1755-1315/666/3/032024.

Mushi, G. E., Serugendo, G. D. M., & Burgi, P. Y. (2022). Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review. Sustainability (Switzerland), 14(4), 2415. doi:10.3390/su14042415.

Ahmed, S., Mahmoud, A. S., Farg, E., Mohamed, A. M., Moustafa, M. S., AbdelRahman, M. A. E., AbdelSalam, H. M., & Arafat, S. M. (2022). A Conceptual Framework for using Big Data in Egyptian Agriculture. International Journal of Advanced Computer Science and Applications, 13(3), 165–173. doi:10.14569/IJACSA.2022.0130322.

Lytos, A., Lagkas, T., Sarigiannidis, P., Zervakis, M., & Livanos, G. (2020). Towards smart farming: Systems, frameworks and exploitation of multiple sources. Computer Networks, 172(January), 107147. doi:10.1016/j.comnet.2020.107147.

Becerra-Fernandez, I., & Sabherwal, R. (2014). Knowledge management: Systems and processes. Routledge, London, United Kingdom.

Muthaiyah, S., Singh, V. A., Zaw, T. O. K., Anbananthen, K. S., Park, B., & Kim, M. J. (2023). A Binary Survivability Prediction Classification Model towards Understanding of Osteosarcoma Prognosis. Emerging Science Journal, 7(4), 1294-1314. doi:10.28991/ESJ-2023-07-04-018.

Contreras-Medina, D. I., Contreras-Medina, L. M., Pardo-Nuñez, J., Olvera-Vargas, L. A., & Rodriguez-Peralta, C. M. (2020). Roadmapping as a driver for knowledge creation: A proposal for improving sustainable practices in the coffee supply chain from Chiapas, Mexico, using emerging technologies. Sustainability (Switzerland), 12(14), 5817. doi:10.3390/su12145817.

Park, J., Choi, J. H., Lee, Y. J., & Min, O. (2017). A layered features analysis in smart farm environments. ACM International Conference Proceeding Series, 169–173. doi:10.1145/3175684.3175720.

De Guzman, C. J. P., Chua, A. Y., Chu, T. S., & Secco, E. L. (2023). Evolutionary Algorithm-Based Energy-Aware Path Planning with a Quadrotor for Warehouse Inventory Management. HighTech and Innovation Journal, 4(4), 829-837. doi:10.28991/HIJ-2023-04-04-012.

Adamsone-Fiskovica, A., Grivins, M., Burton, R. J. F., Elzen, B., Flanigan, S., Frick, R., & Hardy, C. (2021). Disentangling critical success factors and principles of on-farm agricultural demonstration events. Journal of Agricultural Education and Extension, 27(5), 639–656. doi:10.1080/1389224X.2020.1844768.

Mohd. Judi, H., Hashim, H., & Tengku Wook, T. S. M. (2018). Knowledge Sharing Driving Factors in Technical Vocational Education and Training Institute Using Content Analysis. Asia-Pacific Journal of Information Technology & Multimedia, 7(2), 11–28. doi:10.17576/apjitm-2018-0702-02.

Abdullah, S. A., & Sulaiman, R. (2016). A Systematic Review and Model Development of the Factors that Affect Knowledge Sharing in Educational Institutions. International Journal of Science and Research (IJSR), 5(2), 1898–1903. doi:10.21275/v5i2.nov161410.

Elmquist, B. H., & Krysztoforski, M. (2016). Using Demonstration Farms for a Healthier, Issue May 2015, 1–16. Available online: https://h24-files.s3.amazonaws.com/101965/863726-K1905.pdf (accessed on March 2024).

Shehab, S., Rahim, R. E. A., & Daud, S. (2018). A review of individual factors on knowledge sharing: evidence from the empirical literature. International Journal of Engineering & Technology, 7(4.15), 186-194.

Maidin, F. N., & Izhar, T. A. T. (2018). A Framework Based Knowledge Sharing Factor in Higher. International Journal of Academic Research in Business and Social Sciences, 8(6), 846-861. doi:10.6007/ijarbss/v8-i6/4280.


Full Text: PDF

DOI: 10.28991/HEF-2024-05-02-02

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Sofiyanti Indriasari, Dana I. Sensuse, Yuni Resti, Maria Wurzinger, Deden S. Hidayat, Bayu Widodo