Design of a Knowledge-Based System for Economic Plants: A Case Study of Thailand
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Abstract
(1) Background: Knowledge management is essential for sustainable business practices in agriculture, particularly for high-value economic plants with commercial potential. This research presents the design and development of a knowledge-based system for economic plants in Thailand, integrating traditional ecological knowledge with modern information management principles. Traditional ecological knowledge is essential for sustainable agroforestry practices, yet this knowledge is eroding with socio-economic changes, creating critical gaps in agricultural information systems; (2) Methods: The study employed a system development life cycle approach with stakeholder engagement principles, resulting in: a) a conceptual framework for economic plant knowledge classification based on ontology-based agricultural knowledge management; b) a comprehensive database design using Entity Relationship Model principles integrating botanical, economic, regulatory, and cultural dimensions; and c) a prototype web-based application enabling effective knowledge acquisition, storage, sharing, and application through dual-interface accessibility; (3) Results: The system facilitates access to critical information about plant characteristics, propagation methods, utilization opportunities, value addition processes, and relevant regulations. Together, these features create an information ecosystem that supports sustainable agribusiness development. This knowledge management solution addresses the fragmentation of valuable traditional and scientific knowledge while providing a centralized platform accessible to farmers, entrepreneurs, researchers, and policymakers. The system preserves intellectual capital by converting tacit traditional knowledge into explicit, shareable resources; (4) Conclusions: The findings indicate that the developed knowledge-based system contributes to preserving traditional ecological knowledge, enhancing information accessibility, and supporting economic development through improved decision-making in agricultural business contexts. The system offers significant business value through enhanced value chain coordination, innovation facilitation, and sustainability integration.
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References
Cho, F. H. T.; Aglonucci, P.; Bateman, I. J.; Lee, C. F.; Lovett, A.; Mancini, M. C.; Rapti, C.; Day, B. H. Resilient tree-planting strategies for carbon dioxide removal under compounding climate and economic uncertainties. Proc. Natl. Acad. Sci. U.S.A. 2025, 122, e2320961122. https://doi.org/10.1073/pnas.2320961122
Depommier, D. The tree behind the forest: ecological and economic importance of traditional agroforestry systems and multiple uses of trees in India. Trop. Ecol. 2003, 44, 63–71.
Boissière, M.; Atmadja, S.; Guariguata, M. R.; Kassa, H.; Sist, P. Perspectives on the socio-economic challenges and opportunities for tree planting: A case study of Ethiopia. For. Ecol. Manage. 2021, 497, 119488. https://doi.org/10.1016/j.foreco.2021.119488
Abdon, B. R.; Raab, R. T. Knowledge sharing and distance learning for sustainable agriculture in the Asia-Pacific region: The role of the internet. Plant Prod. Sci. 2015, 8, 298–307. https://doi.org/10.1626/pps.8.298
Grover, V.; Davenport, T. H. General perspectives on knowledge management: Fostering a research agenda. J. Manage. Inf. Syst. 2001, 18, 5–21. https://doi.org/10.1080/07421222.2001.11045672
Assèdé, E. S.; Sileshi, G. W.; Chirwa, P. W.; Orou, H.; Syampungani, S. Place and roles of trees in a multifunctional landscape: Trees and environmental services. In Trees in a Sub-Saharan Multi-functional Landscape: Research, Management, and Policy; Springer: 2024; pp 41–58. https://doi.org/10.1007/978-3-031-69812-5_3
Ong, R. J.; Raof, R. A. A.; Sudin, S.; Choong, K. Y. A review of chatbot development for dynamic web-based knowledge management system (KMS) in small scale agriculture. J. Phys. Conf. Ser. 2021, 1755, 012051. https://doi.org/10.1088/1742-6596/1755/1/012051
Ningthoujam, S. S.; Talukdar, A. D.; Potsangbam, K. S.; Choudhury, M. D. Challenges in developing medicinal plant databases for sharing ethnopharmacological knowledge. J. Ethnopharmacol. 2012, 141, 9–32. https://doi.org/10.1016/j.jep.2012.02.042
Zheng, Y.-L.; He, Q.-Y.; Qian, P.; Li, Z. Construction of the ontology-based agricultural knowledge management system. J. Integr. Agric. 2012, 11, 700–709. https://doi.org/10.1016/S2095-3119(12)60059-8
Ballantyne, P. Agricultural information and knowledge sharing: Promising opportunities for agricultural information specialists. Agric. Inf. Worldw. 2010, 3.
Silvie, P. J.; Martin, P.; Huchard, M.; Keip, P.; Gutierrez, A.; Sarter, S. Prototyping a knowledge-based system to identify botanical extracts for plant health in Sub-Saharan Africa. Plants 2021, 10, 896. https://doi.org/10.3390/plants10050896
de Souza, E. N. F.; Hawkins, J. A. Ewe: A web-based ethnobotanical database for storing and analysing data. Database 2020, 2020, baz144. https://doi.org/10.1093/database/baz144
Molina-Venegas, R.; Rodríguez, M. A.; Pardo-de-Santayana, M.; Mabberley, D. J. A global database of plant services for humankind. PLoS One 2021, 16, e0253069. https://doi.org/10.1371/journal.pone.0253069
Yemi-Peters, V. I.; Okon, E. O.; Agbogun, J. B. Healthcare and economic growth in Nigeria: A repository database system for traditional herbal medicines used in healthcare. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2017, 2, 1189–1198.
Ingram, J. Agricultural transition: Niche and regime knowledge systems' boundary dynamics. Environ. Innov. Soc. Trans. 2018, 26, 117–135. https://doi.org/10.1016/j.eist.2017.05.001
Song, S. An internet knowledge sharing system. J. Comput. Inf. Syst. 2002, 42, 25–30. https://doi.org/10.1080/08874417.2002.11647499
Obidike, N. A. Rural farmers’ problems accessing agricultural information: A case study of Nsukka local government area of Enugu State, Nigeria. Library Philosophy and Practice 2011, 660, 1–11.
Mishra, A.; Mishra, D. Applications of stakeholder theory in information systems and technology. Eng. Econ. 2013, 24, 254–266. https://doi.org/10.5755/j01.ee.24.3.4618
van Hoek, M.; Zhou, J.; Jia, L.; Lu, J.; Zheng, C.; Hu, G.; Menenti, M. A prototype web-based analysis platform for drought monitoring and early warning. Int. J. Digit. Earth 2020. https://doi.org/10.1080/17538947.2019.1585978
Shamrat, F. J. M.; Asaduzzaman, M.; Ghosh, P.; Sultan, M. D.; Tasnim, Z. A web-based application for agriculture: “Smart farming system.” 2020.
Antle, J. M.; Basso, B.; Conant, R. T.; Godfray, H. C. J.; Jones, J. W.; Herrero, M.; Howitt, R. E.; Keating, B. A.; Munoz-Carpena, R.; Rosenzweig, C.; et al. Towards a new generation of agricultural system data, models and knowledge products: Design and improvement. Agric. Syst. 2017, 155, 255–268. https://doi.org/10.1016/j.agsy.2016.10.002
Grunert, K. G.; Jensen, B. B.; Sonne, A.-M.; Brunsø, K.; Byrne, D. V.; Clausen, C.; Friis, A.; Holm, L.; Hyldig, G.; Kristensen, N. H. User-oriented innovation in the food sector: Relevant streams of research and an agenda for future work. Trends Food Sci. Technol. 2008, 19, 590–602. https://doi.org/10.1016/j.tifs.2008.03.008
Thankachan, S.; Kirubakaran, S. E-agriculture information management system. Int. J. Comput. Sci. Mob. Comput. 2014, 3, 599–607.
de Oliveira, T. H. M.; Painho, M.; Santos, V.; Sian, O.; Barriguinha, A. Development of an agricultural management information system based on open-source solutions. Procedia Technol. 2014, 16, 342–354. https://doi.org/10.1016/j.protcy.2014.10.100
Kopper, S. A.; Jayne, T. S. Market access, agro-ecological conditions, and Boserupian agricultural intensification patterns in Kenya: Implications for agricultural programs and research. World Dev. 2019, 124, 104649. https://doi.org/10.1016/j.worlddev.2019.104649
Thomas, M. B.; Lin, N.; Beck, H. H. A database model for integrating and facilitating collaborative ethnomedicinal research. Pharm. Biol. 2001, 39 (Suppl. 1), 41–52. https://doi.org/10.1076/phbi.39.7.41.5872
Nimmagadda, S. L.; Reiners, T.; Wood, L. C. Geographic information systems on modelling big data guided supply chains in knowledge-base GIS. In 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems; 2019. https://doi.org/10.1016/j.procs.2019.09.284
Alyoubi, B. A. Decision support system and knowledge-based strategic management. Procedia Comput. Sci. 2015, 65, 278–284. https://doi.org/10.1016/j.procs.2015.09.079
Morueta-Holme, N.; Enquist, B. J.; McGill, B. J.; Boyle, B.; Jørgensen, P. M.; Ott, J. E.; Peet, R. K.; Šímová, I.; Sloat, L. L.; Thiers, B. Habitat area and climate stability determine geographical variation in plant species range sizes. Ecol. Lett. 2013, 16, 1446–1454. https://doi.org/10.1111/ele.12184
Ortega-Morán, J. F.; Pagador, J. B.; Sánchez-Peralta, L. F.; Sánchez-González, P.; Noguera, J.; Burgos, D.; Gómez, E. J.; Sánchez-Margallo, F. M. Validation of the three web quality dimensions of a minimally invasive surgery e-learning platform. Int. J. Med. Inform. 2017, 107, 1–10. https://doi.org/10.1016/j.ijmedinf.2017.07.001
Wang, D.; Xia, Y.; Li, X.; Hou, L.; Yu, J. The Rice Genome Knowledgebase (RGKbase): An annotation database for rice comparative genomics and evolutionary biology. Nucleic Acids Res. 2013, 41, D1199–D1205. https://doi.org/10.1093/nar/gks1225
Loganathan, A.; Sinha, A.; Muthuramakrishnan, V.; Natarajan, S. A systematic approach to big data. Int. J. Inf. Comput. Technol. 2014, 4, 869–878.
Pedersen, T. B. Managing complex multidimensional data. In European Big Data Management and Analytics Summer School; Springer: 2012; pp 1–28. https://doi.org/10.1007/978-3-642-36318-4_1
Makita, Y.; Kawashima, M.; Lau, N. S.; Othman, A. S.; Matsui, M. Construction of para rubber tree genome and multi-transcriptome database accelerates rubber researches. BMC Genomics 2018, 19, 922. https://doi.org/10.1186/s12864-017-4333-y
Mochida, K.; Yoshida, T.; Sakurai, T.; Yamaguchi-Shinozaki, K.; Shinozaki, K.; Tran, L. S. TreeTFDB: An integrative database of the transcription factors from six economically important tree crops for functional predictions and comparative and functional genomics. DNA Res. 2013, 20, 151–162. https://doi.org/10.1093/dnares/dss040
Janssen, S.; Andersen, E.; Athanasiadis, I. N.; van Ittersum, M. K. A database for integrated assessment of European agricultural systems. Environ. Sci. Policy 2009, 12, 573–587. https://doi.org/10.1016/j.envsci.2009.01.007
Yenni, G. M.; Christensen, E. M.; Bledsoe, E. K.; Supp, S. R.; Diaz, R. M.; White, E. P.; Ernest, S. K. M. Developing a modern data workflow for regularly updated data. PLoS Biol. 2019, 17, e3000125. https://doi.org/10.1371/journal.pbio.3000125
Zimmermann, O.; Miksovic, C.; Küster, J. M. Reference architecture, metamodel, and modeling principles for architectural knowledge management in information technology services. J. Syst. Softw. 2012, 85, 2014–2033. https://doi.org/10.1016/j.jss.2012.05.003
Khan, Z.; Dambruch, J.; Peters-Anders, J.; Sackl, A.; Strasser, A.; Fröhlich, P.; Templer, S.; Soomro, K. Developing knowledge-based citizen participation platform to support smart city decision making: The Smarticipate case study. Information 2017, 8, 47. https://doi.org/10.3390/info8020047
Ong, R. J.; Sudin, S.; Raof, R. A. A.; Choong, K. Y.; Al-Hadi, A. A.; Yacob, Y.; Nasir, S. N. B. M. Dynamic web-based knowledge management system (KMS) in small scale agriculture. In AIP Conf. Proc.; AIP Publishing: 2024; Vol. 2898; p 010051. https://doi.org/10.1063/5.0196279
Wright, H.; Mathers, C.; Walton, J. P. R. B. Using visualization for visualization: An ecological interface design approach to inputting data. Comput. Graph. 2013, 37, 202–213. https://doi.org/10.1016/j.cag.2013.01.013
Mazaeva, N.; Bisantz, A. M. Ecological displays, information integration, and display format: An empirical evaluation across multiple small displays. J. Cogn. Eng. Decis. Mak. 2014, 8, 137–161. https://doi.org/10.1177/1555343414521424
Zhou, D.; Nakatani, K.; Chuang, T.-T. Data quality in collaborative commerce. Int. J. Inf. Qual. 2011, 2, 264–278. https://doi.org/10.1504/IJIQ.2011.040672
Scheer, A.-W. Principles of Efficient Information Management; Springer: 2012.
Gujar, P. Data standardization and interoperability. In Data Usability in the Enterprise: How Usability Leads to Optimal Digital Experiences; Springer: 2025; pp 89–110. https://doi.org/10.1007/979-8-8688-1183-8_4
Song, X. P.; Tan, P. Y.; Edwards, P.; Richards, D. The economic benefits and costs of trees in urban forest stewardship: A systematic review. Urban For. Urban Green. 2018, 29, 162–170. https://doi.org/10.1016/j.ufug.2017.11.017
Lilavanichakul, A. Development of agricultural e-commerce in Thailand. J. Agric. Policy 2020, 1, 7–16.
Dinh, H. H.; Nguyen, T. T.; Hoang, V.-N.; Wilson, C. Economic incentive and factors affecting tree planting of rural households: Evidence from the Central Highlands of Vietnam. J. For. Econ. 2017, 29, 14–24. https://doi.org/10.1016/j.jfe.2017.08.001
Malkamäki, A.; D’Amato, D.; Hogarth, N. J.; Kanninen, M.; Pirard, R.; Toppinen, A.; Zhou, W. A systematic review of the socio-economic impacts of large-scale tree plantations worldwide. Glob. Environ. Change 2018, 53, 90–103. https://doi.org/10.1016/j.gloenvcha.2018.09.001
Holder, L. B.; Markov, Z.; Russell, I. Advances in knowledge acquisition and representation. Int. J. Artif. Intell. Tools 2006, 15, 867–874. https://doi.org/10.1142/S0218213006003016
Taylor, M.; Bhasme, S. Model farmers, extension networks and the politics of agricultural knowledge transfer. J. Rural Stud. 2018, 64, 1–10. https://doi.org/10.1016/j.jrurstud.2018.09.015
Du, Z.; Yu, L.; Yang, J.; Xu, Y.; Chen, B.; Peng, S.; Zhang, T.; Fu, H.; Harris, N.; Gong, P. A global map of planting years of plantations. Sci. Data 2022, 9, 141. https://doi.org/10.1038/s41597-022-01260-2
Viana, C. M.; Freire, D.; Abrantes, P.; Rocha, J.; Pereira, P. Agricultural land systems importance for supporting food security and sustainable development goals: A systematic review. Sci. Total Environ. 2022, 806, 150718. https://doi.org/10.1016/j.scitotenv.2021.150718