Factors Influencing Smart Agro-Industry Management in Udon Thani Province

Abstract

The research objectives were to study 1) the level of government policy, production factors, automation technology, production processes and management of smart agricultural industries, 2) factors of government policy, production factors, automation technology and production processes that influence the management of smart agricultural industries, and
3) guidelines for increasing the efficiency of management of smart agricultural industries in
Udon Thani Province. This research is amixed-method research. The quantitative research has a sample group of 340 farmers in the large-scale agricultural promotion system project in Udon Thani Province. The sampling group was selected by proportional sampling using the simple random sampling method based on probability. Data were collected by questionnaires and analyzed using structural equation modeling. The qualitative research collected data by in-depth interviews with key informants, including executives and personnel from relevant government agencies at the policy and implementation levels, and qualified personnel from relevant private agencies, totaling 15 individuals. The sample group was selected purposively. Data were analyzed by inductive interpretation and conclusions, and qualitative data were presented as narrative texts in conjunction with quantitative data.

The research findings suggested: 1) the level of government policy inputs automatic technology production process, and Smart agro-industry management. 2) Government policies factor had the most overall influence on the management of Smart agricultural industry, followed by automation technology, production process, and factors of production, respectively; and 3) guidelines to increase the efficiency; 3.1) Prepare agriculture learning plots By using appropriate technology for production process; 3.2) Develop a large database system to support the smart farming system by driving the use of various information; 3.3) Collaborate with academics from various fields to design and store relevant agricultural data within the learning plot from the IOT technology system; and 3.4) Ministry of Agriculture and Cooperatives drives smart agriculture, by integrating with agencies of various ministries, the private sector and agencies abroad to develop personnel.