Factors related to the digital agricultural technology knowledge of young smart farmers in the central region of Thailand Supawita Klayson1, Supet Jirakajohnkool1,*
Article Sidebar
Main Article Content
Abstract
This research objective aimed to study the factors related to the digital agricultural technology knowledge of young smart farmers (YSF). The sample group was 169 young smart farmers in the central region, collecting data in the year 2020 before the COVID-19 situation, by using a questionnaire to collect data from the field for: 1) the digital agricultural technology knowledge level 2) The relationship between personal factors and the knowledge of digital agricultural technology. The collected data were analyzed using frequency, percentage, standard deviation, maximum, minimum, and mean statistics and the correlation was determined by using chi-square statistics. The results of the study revealed that the typical YSF was male, and the range of age was 41–55 years old. YSF graduated with a bachelor's degree, 43.79%. 18.34% of YSF lived in Singburi province. The range of income of 100,001–250,000 baht per month (30.77%). Furthermore, knowledge of digital agricultural technology was limited. When considering each aspect of knowledge, it was found that most YSF had at a moderate level of solar energy Knowledge (mean 2.67±1.03) was at a moderate level. Geographic information systems (mean 2.52±1.05), Global Positioning System (GPS) (mean 2.14±1.08), Drone for Agriculture (mean 2.07±1.00) and Internet of Things for Smart Agricultural (mean 1.94±1.05) were shown at a low level. From the results of the study, finding on the relationship between personal factors and the Digital agricultural technology knowledge, it was found that gender, age, education level, and income were statistically correlated with knowledge (p<0.01). From the results of the study, the top three for YSF to improve their additional knowledge, they need namely solar energy, Internet of Things (IoT) innovations for smart agriculture, and agricultural machinery. There is a need to reduce costs, reduce labor, and increase productivity, respectively.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ต้นฉบับที่ได้รับการตีพิมพ์ในวารสารนวัตกรรมวิทยาศาสตร์เพื่อการพัฒนาอย่างยั่งยืนถือเป็นกรรมสิทธิ์ของคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต ห้ามผู้ใดนำข้อความทั้งหมดหรือบางส่วนไปพิมพ์ซ้ำ เว้นแต่จะได้รับอนุญาตอย่างเป็นลายลักษณ์อักษรจากคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต นอกจากนี้ เนื้อหาที่ปรากฎในบทความเป็นความรับผิดชอบของผู้เขียน ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากเทคนิคการพิมพ์
References
Das, V., Sharma, S., and Kaushik, A. (2019). Views of Irish farmers on smart farming technologies: An observational study. AgriEngineering, 1(2), 164–187; https://doi.org/10.3390/agriengineering1020013.
Department of Agriculture Extension, Ministry of Agriculture and Cooperatives. (2016). The future and direction of Thai agricultural sector. National Office of Buddhism Publisher, 4–6. [In Thai].
Isarakul, N. and Sriboonruang, P. (2022). Factors Relating to Social Media Literacy of Young “Smart Farmers”. King Mongkut’s Agriculture Journal, 40(1), 85–93. [In Thai].
Khrutmuang Sanserm, S., Tangwiwat, P., Yooprasert, B., Keowan, B., and Rattanacharoern, N. (2022). Information technology usage for economic crop production of farmers. STOU Journal of Agriculture, 3(1), 31–44. [In Thai].
Konkhayun, W., Anusontpornperm, S., and Kongsila, T. (2021). Self-development needs of agricultural promotions officers, department of agricultural promotions. King Mongkut’s Agriculture Journal, 39(3), 231–238. [In Thai].
Maksamut, K., Tongdeelert, P., and Rangsipaht, S. (2019). Use of information and communication technology for agriculture of ornamental plant growers klong 15, Ongkrarak district, Nakhon Nayok province. Khon Kaen Agriculture Journal, 41(3), 549–558. [In Thai].
Palinthorn Lapjit, F., Udomsade, J., and Kongsila, T. (2018). Agricultural information exposure of future farmers of Thailand organization members in northeastern region. Khon Kaen Agriculture Journal, 46(2), 387–396. [In Thai].
Phromkiang, C., Kanokhong, K., Fongmul, S., and Kruekum, P. (2019). Knowledge and practice in accordance with good agricultural practice of farmers growing mulberry in Chalermprakiat district, Nan province. Journal of Agriculture Research and Extension, 37(1), 52–63. [In Thai].
Puklik, K., Aungudornpukdee, P., Kiakijroj, K., Thongsanit, P., and Hinhumpatch, P. (2016). The association between demographic factors and health beliefs toward pesticide buying behavior among famers. Disease Control Journal, 42(4), 348–359. [In Thai].
Rerngart, K., Tongdeelert, P., and Rangsipaht, S. (2019). Use of technology for Increasing sugarcane production of farmers, Phu Khiao district, Chaiyaphum province. Khon Kaen Agriculture Journal, 47(4), 715–210. [In Thai].
Wannaree, k., Somchai, A., and Tanin, K. (2021). Factors correlated with the need for skills development of agricultural promotions scholars who work for the department of agricultural promotions. King Mongkut's Agricultural Journal, 39(2), 119–129. [In Thai].
Yaemkong, S., Nguyen Ngoc, T., Kotom, P., Jaipong, P., Noinumsai, P., Yaemkong, S., and Seema, P. (2018). The study on farmers' knowledge and behavior in using of chemicals for protection and pest elimination in Pho Thale sub-district, Pho Thale district, Phichit province. Humanities and Social Sciences Journal of Graduate School, Pibulsongkram Rajabhat University, 12(2), 444–454. [In Thai].