Factors Affecting the Acceptance to Use of Drone Among Cassava Farmers in Cassava Cultivation at Tha Bo District, Nong Khai Province
Main Article Content
บทคัดย่อ
The objectives of this research were to study 1) basic personal factors, and socio-economics factors of farmers 2) acceptance to use drones in cassava cultivation 3) decision to use drones for cassava cultivation 4) problems and obstacles for farmers in cassava cultivation at Tha Bo district, Nong Khai province. Data were collected by using questionnaires and analyzed by using descriptive statistics, such as frequency, percentage, minimum value, maximum, value, mean, standard deviation and Pearson Chi-square test. A sample group was 302 farmers. Results showed that most farmers were female with an average age of 61 years old, and a bachelor's degree. The average number of family members was 4.74 people. There was an average of 1.85 agricultural laborers per household. The average experience of farmers in cassava cultivation was 2.25 years. The average income of farmers was 59,862.50 Baht per year. The average amount of land for cassava cultivation was 13.36 rai per family. A characteristic to use drones was spraying pesticides by gathering of farmers in the area. The overall acceptance for use of drones in cassava cultivation was at a high acceptance level. There was an average acceptance level of 2.15. The overall decision level to use drones for cassava cultivation was at the high decision level. The average decision level to use drones for cassava cultivation was 1.99. From the hypothesis testing, it was found that gender, age, education level, number of family’s labors, experience in cassava cultivation, a characteristic to use drones was spraying pesticides by gathering of farmers in the area, and acceptance to use drones in cassava cultivation were related to the decision to use drones for cassava cultivation was statistically significant at the 0.01 level. The problem found was that farmers were lacking appropriate knowledge for using agricultural drones in cassava cultivation.
Article Details

อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
เอกสารอ้างอิง
Apisithpinyo, B., N. Keeratiaurai, S. Burinwattana, W. Apisithpinyo and N. Kulsuphachote. 2022. The analysis of the factors influencing the breakeven point and margin of safety on cassava production in Nakhon Ratchasima province. Rajabhat Rambhai Barni Research Journal 16(3): 35-45. [in Thai]
Bunsongsree, S. and P. Treewannakul. 2023. Practice on measures to prevent and eliminate a cassava mosaic disease of farmers in Khon Buri district, Nakhon Ratchasima province. Agricultural Science Journal 54(3): 210-223. [in Thai]
Center for Economic Analysis TTB. 2022.TTB analytics expects farmer income of 5economic crops in 2022 to grow 16.1%. Available: https://www.ttbbank.com/th/newsroom/detail/thailand-economy-2565 (March 29, 2024). [in Thai]
Digital Economy Promotion Agency. 2019. Drones and Thai agriculture technology series: Drone for smart farming. Available: https://www.depa.or.th/th/article-view/tech-series-drone-smart-farming (April 2, 2024). [in Thai]
Kaewlaima, N., S. Sreshthaputra, B. Limnirankul and P. Kramo. 2017. Factors affecting farmers’ adoption of organic agricultural practices, Mae Ho Phra subdistrict, Mae Taeng district, Chiang Mai province. Agricultural Journal 33(3): 387-395. [in Thai]
Nungarm, M., T. Kongsila and J. Limprasertkul. 2021. Opinion towards agricultural extension of farmers in the agricultural technology protection center in Suphan Buri province. Agricultural Science Journal 51(3): 209-220. [in Thai]
Office of Agricultural Economics. 2020. Overview information on growing 14 important economic crops. Available: https://oae.go.th/home/article/386 (March 25, 2024). [in Thai]
Panyayuen, S., S. Fongmul, P. Sakkatat and K. Kanokhong. 2023.Factors effecting needs for the promotion of non-toxin vegetable growing of farmers in Muang Pan district, Lampang province. Journal of Agricultural Research & Extension 40(3): 127-137. [in Thai]
Sanprasert, T., C. Choocharoen, S. Lertsiri and P. Chintapitaksakul. 2020. Factors affecting satisfaction in group membership of rubber farmers in Sanam Chai Khet district, Chachoengsao province. Agricultural Science Journal 51(3): 248-258. [in Thai]
Soyyana, A., Y. Chaovanapoonphol and K. Saeliw. 2022. Farmer's adoption of drone technology for spraying chemicals in Sankamphaeng district, Chiang Mai province. Khon Kaen Agriculture Journal Supplement 50(1): 385-391. [in Thai]
Wannok, P. and P. Haputta. 2023. Factors Related to Pesticide Use Behavior of Cassava Farmers in Po Daeng subdistrict, Chonnabot district, Khon Kaen province. Agricultural Journal 39(2): 233-243. [in Thai]
Yamane, T. 1973. Statistics: An Introductory analysis. 3rd Edition. Harper and Row Publication, New York.
Zheng, S., Z. Wang and C. J. Wachenheim. 2019. Technology adoption among farmers in Jilin province, China: The case of aerial pesticide application. China Agricultural Economic Review 11(1): 206-216.