This research aimed to study the approach of the community toward the decision to grow rice and economic crops, including appropriate resource allocation for use on a farm under a large plot agricultural system. The study areas were in Phan district, Chiang Rai province, Thailand, and the data were collected from a sampling of 400 field agriculturalists. The method used was to develop a mathematical model for growing crops with multi-objectives and in multi-periods, together with an agriculturist representative and experts in multiple-criteria decision-making (MCDM). This was to prioritize the importance of alternative crops and find the appropriate allocation of the resources to achieve the targeted goal. The results showed that agriculturists prioritized most toward the criteria for growing Japanese rice with a weight of 0.179 Kg., followed by transplanted rice, transplanted glutinous rice, garlic, sown paddy rice, and sown glutinous paddy rice, respectively. The study’s results also showed that the price fluctuation of the crop products resulted in more use of land and labor in order to increase the production to compensate for the low price, and this also resulted in the higher opportunity cost of growing transplanted rice. Therefore, growing transplanted rice during in season planting was considered the most effective way, while during the off season, either garlic or Japanese rice could be grown. A collective pattern for planning for using resources together in large plot agricultural areas, together with a clear marketing target would bring about effective use of the resources and reduce the risk in revenue from the fluctuation in prices and uncertainty of yields from drought. Moreover, technology development to solve the problem of the lack of labor would be deemed an important approach toward the enhancement of the competitiveness of agriculturists in the future as well.

Nong Khai Province, Thailand is one of the provinces in the northeastern region that has been promoting a career known as the “Nong Khai Model Project” of cricket cultivation. This study aimed to research the factors affecting the acceptance of commercial cricket cultivation technology in Nong Khai Province, Thailand. The samples in this study included 500 farmers. The agricultural technology was cricket cultivation from the Nong Khai Model project that improved the mindset and way of cultivation, which was arranged by Khon Kaen University, Nong Khai Campus. The analyses, by the ordered logit and ordered probit models, were estimated with the maximum likelihood and marginal effects. The two models demonstrated non-different results. However, the factors were gender, age, cultivation experience, education, labor, monthly household income and agricultural information channel via academic journals or documents. These affected the acceptance with statistical significance. Therefore, the Department of Agricultural Extension and Department of Agriculture should publish information about cricket cultivation by focusing on the benefits of the operation or provide simple instructions.