The Korean government has been implementing international development cooperation projects on smart greenhouse for high-valued crops through the Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS). These projects have been carried out in four Asian countries – the Philippines, Cambodia, Vietnam, and Indonesia – since 2020. The main objectives of these projects are to enhance agricultural productivity, provide innovative capacity building, and establish effective marketing systems in collaboration with recipient organizations in each country. By focusing on medium- and small-scale farmers who are susceptible to climate shocks, these projects have successfully increased crop yields and the average income of farm households that have adopted advanced greenhouse facilities. This has been achieved through improved planting and marketing strategies for high-valued crops. In summary, these projects are playing a crucial role in the modernization of agriculture through the Vulnerable-Smart Agriculture (VSA) scheme, while also collecting policy data to effectively address climate change vulnerabilities. This is being done through a tripartite mechanism involving research, extension activities, and education, all aimed at promoting sustainable agricultural growth in developing countries.

In this paper, we propose a system architecture of the AMI to be applied in the modern agricultural sector. Agricultural electricity costs in South Korea is very inexpensive compared with other industries. It is expected to increase oil prices to rise over the medium to long term so the facilities must to be installed for farmers in terms of energy savings and energy costs. The research and development of plant factory which can replace the ills of modern agriculture is very active. The technologies of smart grid and plat factory are good paradigm of next generation agricultural sector. Good use of smart grid technologies, the traditional energy consumption industries, agriculture sector can be self-sufficiency industry. In this article the AMI architecture is developed and it will be applicable for modern farmers plant factory.

The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569) > IT development level (β=.252) > social influence (β=.235) > performance expectancy (β=.182) > facilitating conditions (β=.134).