Factors Influencing Farmers’ Decision to Apply Internet of Things Technology in Vegetable Production in Lam Dong Province

Abstract:

This study investigates the factors influencing the adoption of Internet of Things (IoT) technologies among vegetable farmers in Lam Dong province, Vietnam. Using binary logistic regression analysis, the study identifies key determinants driving IoT adoption, including education level, farming experience, share of vegetable income, interest in IoT, and access to IoT technology. Results show that farmers with higher education and more farming experience are more likely to adopt IoT solutions, while strong interest and easier access significantly increase adoption probabilities. Conversely, variables such as age, land size, investment capital, and overall household income did not exhibit significant impacts on IoT adoption. The findings highlight the importance of education, technical training, infrastructure development, and financial support in promoting IoT adoption. The study recommends targeted policies, including subsidies, training programs, and awareness campaigns, to enhance IoT adoption and ensure sustainable agricultural development. These insights can guide policymakers, agricultural extension services, and technology providers in promoting smart farming practices, ultimately boosting productivity and resilience among vegetable farmers in Lam Dong province.