Management Using the Big Data Analytical Process to Create the Opportunity for Thai Agriculturists during Global Food Crisis
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Abstract
The aim of this academic article is to propose the guidelines to Thai farmers that they can solve their agricultural problems and development by using Big Data. It can be used for planning and decision–making throughout the agricultural process, from upstream to downstream. This process can make agricultural products to be more effective and suitable for distribution, allowing the farmers to generate income efficiently. Furthermore, it could create an opportunity to expand the supply and export of Thai agricultural products to meet foreign demand caused by the global food crisis. Therefore, the use of Big Data analytics is urgently needed in the management of the agricultural industry. The Big Data analytics process can be implemented in four steps: 1) data collection, 2) data integration, 3) data analysis, and 4) real–world application. This process can help Thai farmers improve the quality of their agricultural production and ensure sustainable income.
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Aday, S., & Aday, M. S. (2020). Impact of COVID-19 on the food supply chain. Food Quality and Safety, 4(4), 167-180.
Alguliyev, R. M., Gasimova, R. T., & Abbasli, R. N. (2017). The obstacles in big data process. International Journal of Modern Education and Computer Science, 9(3), 28-35.
Behnassi, M., & El Haiba, M. (2022). Implications of the Russia–Ukraine war for global food security. Nature Human Behaviour, 6(6),754-755.
Bronson, K., & Knezevic, I. (2016). Big data in food and agriculture. Big Data & Society, 3(1), 1-5.
Bren d’Amour, C., Wenz, L., Kalkuhl, M., Steckel, J. C., & Creutzig, F. (2016). Teleconnected food supply shocks. Environmental Research Letters, 11(3), 1-10.
Himesh, S., Prakasa Rao, E. V. S., Gouda, K. C., Ramesh, K. V., Rakesh, V., & Mohapatra, G. N. (2018). Digital revolution and Big Data: a new revolution in agriculture. CABI Reviews, 13(21), 1-7.
Geethanjali, M., Rabuni, M., & Priyadharshini, L. (2019). Data analytics used in the field of big data security intelligence. IJRAR-International Journal of Research and Analytical Reviews (IJRAR), 6(2), 155-161.
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 143, 23-37.
Manyuen, M., Boonlue, S., Neanchaleay, J., & Murphy, E. (2019). Thai agriculturists use of and experience with digital technology. The 10th Hatyai National and International Conference, 1794-1860.
National Strategy Secretariat Office. (2018). National Strategy (2018-2037). Author. https://www.bic.moe.go.th/images/stories/pdf/National_Strategy_Summary.pdf
Nguyen, T. H., Sahin, O., & Howes, M. (2021). Climate change adaptation influences and barriers impacting the Asian agricultural industry. Sustainability, 13(13), 1-17.
Office of Agricultural Economics. (2022, June 7). čhaptā wikrit ʻāhān lōk kap kān phrō̜m rapmư̄ khō̜ng Thai สศก. phœ̄i Thai dai ʻōkātdan song ʻō̜k phangāt nai thāna khrūa lōk [Keep an eye on the global food crisis and Thailand's preparedness. The Office of Agricultural Economics reveals that Thailand has the opportunity to push exports to prominence as the kitchen of the world]. Author. https://shorturl.asia/QPCYf
Purichpisittakorn, P., & Siriprasertsin, P. (2019). The acquisition of organic agriculture knowledge through online media and application of lecturers and staff at Maejo University, Chiang Mai Province. Payap university journal, 30(1), 54-69.
Rao, N. H. (2018). Big data and climate smart agriculture-status and implications for agricultural research and innovation in India. Indian National Science Academy, 84(3), pp. 625-640.
Tan, C. (2021). Thailand start-up says it’s boosting crop yields with app for farmers. CNBC. https://www.cnbc.com/2021/11/29/thailand-start-up-ricult-has-mobile-app-designed-to-boost-crop-yields.html
Wanakitpaiboon, N. (2022, July 16). Ricult plīan chīwit kasēttrakō̜n dūai Big Data (EP.1) [Ricult changes farmers’s life with Big Data (EP.1)]. The Secret Sauce. https://thestandard.co/podcast/thesecretsauce-apec-2022-thailand-ep-1-ricult/
Wattanutchariya, W., Tansuchat, R., & Ruennareenard, J. (2016). Supply chain management of Thai parboiled rice for export. In A. Ali & A.T. Bon (Eds.), Proceedings of the 2016 International conference on industrial engineering and operations management Kuala Lumpur (pp. 8-10). http://ieomsociety.org/ieom_2016/pdfs/147.pdf
Udomkerdmongkol, M. (2020, December 2). Thai agricultural sector: From problems to solutions. https://thailand.un.org/en/103307-thai-agricultural-sector-problems-solutions
