SITUATION AND TRENDS IN THE APPLICATION OF INTERNET OF THINGS (IoT) INTEGRATION FOR SMART PLANT FARMS IN THAILAND
Main Article Content
Abstract
This review article explores the applications of the Internet of Things (IoT) in smart plant farming in Thailand. In the face of challenges such as climate change, labor shortages, and rising production costs, IoT technology plays a vital role in transforming Thai agriculture toward more efficient and sustainable precision farming. IoT systems consist of environmental, soil, plants and irrigation sensors, communication networks, data processing unit, and automated control platforms. In Thailand, practical applications include weather and soil monitoring systems, automated irrigation and fertilization systems, climate-controlled greenhouses, and the use of aerial and satellite imaging technologies. Case studies indicate that IoT technology can improve productivity by 15-25% and reduce operational costs by 20-30%. However, limitations remain, including underdeveloped digital infrastructure, high initial investment costs, and a lack of digital literacy among farmers. Recommended development strategies include supportive government policies, cross-sector collaboration, human resource development, and establishment of suitable business models. Future trends point toward the integration of emerging technologies such as 5G, blockchain, and artificial intelligence (AI), which are expected to enhance competitiveness and improve the quality of life for Thai farmers.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
"The opinions and contents including the words in papers are responsibility by the authors."
"ข้อคิดเห็น เนื้อหา รวมทั้งการใช้ภาษาในบทความถือเป็นความรับผิดชอบของผู้เขียน"
References
Bacco, M., Barsocchi, P., Ferro, E., Gotta, A., & Ruggeri, M. (2019). The digitisation of agriculture: A survey of research activities on smart farming. Array, 3-4, 1-13.
Bank for Agriculture and Agricultural Cooperatives. (2024). Agricultural technology entrepreneur incubation project. BAAC. (in Thai)
Cooperative Promotion Department. (2023). Application of IoT technology in agricultural cooperatives. Ministry of Agriculture and Cooperatives. (in Thai)
Department of Agricultural Extension. (2023). Young smart farmer project. Ministry of Agriculture and Cooperatives. (in Thai)
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of things Journal, 5(5), 3758-3773.
Farooq, M. S., Riaz, S., Abid, A., Umer, T., & Zikria, Y. B. (2020). Role of IoT technology in agriculture: A systematic literature review. Electronics, 9(2), 1-41.
Future Thailand Institute. (2023). Report on smart agricultural technology market in ASEAN. Author. (in Thai)
Geo-Informatics and Space Technology Development Agency. (2022). G-AGRO application for farmers. GISTDA. (in Thai)
Hydro-Informatics Institute. (2022). Rice yield forecasting model in Chao Phraya River basin. HII. (in Thai)
Jawad, H. M., Nordin, R., Gharghan, S. K., Jawad, A. M., & Ismail, M. (2017). Energy-efficient wireless sensor networks for precision agriculture: A review. Sensors, 17(8), 1-45.
Khanna, A., & Kaur, S. (2019). Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture. Computers and Electronics in Agriculture, 157, 218-231.
Khon Kaen Universtiy. (2023). Invitation to training on 'Closed-type vertical smart farm for growing strawberries'. https://www.en.kku.ac.th/web/ae/2024/07/05/1924/.
King's Chaipattana Foundation. (2023). Smart garden project. Author. (in Thai)
Mahdavinejad, M. S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P., & Sheth, A. P. (2018). Machine learning for Internet of Things
data analysis: A survey. Digital Communications and Networks, 4(3), 161-175.
Ministry of Agriculture and Cooperatives. (2023). Smart agriculture master plan (2023-2027). Author. (in Thai)
Ministry of Agriculture and Cooperatives. (2024). Strategy plan "Thai Agriculture 2030". Author. (in Thai)
Ministry of Commerce. (2024). Statistical report on agricultural export of Thailand. Author. (in Thai)
Ministry of Digital Economy and Society. (2024). Digital development plan for economy and society of Thailand. Author. (in Thai)
Ministry of Energy. (2023). Smart farm clean energy project. Author. (in Thai)
Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A., & Nillaor, P. (2019). IoT and agriculture data analysis for smart farm. Computers and Electronics in Agriculture, 156, 467-474.
Office of National Higher Education Science Research and Innovation Policy Council. (2024). BCG economy model and agricultural sector development. NXPO. (in Thai)
Saiz-Rubio, V., & Rovira-Más, F. (2020). From smart farming towards agriculture 5.0: A review on crop data management. Agronomy, 10(2), 1-21.
Sishodia, R. P., Ray, R. L., & Singh, S. K. (2020). Applications of remote sensing in precision agriculture: A review. Remote Sensing, 12(19), 1-31.
Smart Farming Technology Center. (2022). Performance report of smart irrigation system for cassava. Agricultural Technology and Innovation Center. (in Thai)
Sustainable Agriculture Association of Thailand. (2024). Case study of smart greenhouse for hydroponic vegetable cultivation. (in Thai)
Talavera, J. M., Tobón, L. E., Gómez, J. A., Culman, M. A., Aranda, J. M., Parra, D. T., Quiroz, L. A., Hoyos, A., & Garreta, L. E. (2017). Review of IoT applications in agro-industrial and environmental fields. Computers and Electronics in Agriculture, 142, 283-297.
Thai Agricultural Technology Entrepreneurs Association. (2024). Report on FARMTO platform usage. (in Thai)
Thailand Development Research Institute. (2024). Report on agricultural labor situation in Thailand. TDRI. (in Thai)
Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31-48.
Vila-Aiub, M. M., Han, H., Yu, Q., García, F., & Powles, S. B. (2021). Contrasting plant ecological benefits endowed by naturally occurring EPSPS resistance mutations under glyphosate selection. Evolutionary Applications, 14(6), 1635-1645.
Villa-Henriksen, A., Edwards, G. T., Pesonen, L. A., Green, O., & Sørensen, C. A. G. (2020). Internet of Things in arable farming: Implementation, applications, challenges and potential. Biosystems Engineering, 191, 60-84.