The Development of Cassava Database Management Syatem Using Geographic Information System: A Case Study of Ubon Ratchathani Province

Main Article Content

พัฒนา ศรีชาลี อรอุมา เนียมหอม อัจฉริยา เหล่าศิริ ปิยภัทร โกษาพันธุ์

Abstract

At present, cassava is the second most exported agricultural product than rice. The farmers interested to cassava. But farmer's problems are many. Such as problem of product, insect and prices. Therefore, the development of cassava database using GIS case study in Ubonratchathani. The sample case study field. Ubon Ratchathani Province consists of 3 districts. Amphoe Phibun Mangsahan, Amphoe Sirindhorn and Amphoe Khong Chiam. The data collected by the farmers is used to display the geographic location and calculate the area. And the total product output of the farmer in the various periods of time and then collected data to show the statistics of the farmer group. The result of the research showed the satisfaction of the administrators system evaluation was high at the mean of 3.41 and SD = 0.80. The satisfaction of the user (official) group was satisfactory. At the high level, the mean value was 3.79 and SD = 0.86 and the satisfaction of the farmers. (Members) had a high level of satisfaction with mean = 3.66 and S.D = 0.83.

Keywords

Article Details

How to Cite
ศรีชาลีพ., เนียมหอมอ., เหล่าศิริอ., & โกษาพันธุ์ป. (2019). The Development of Cassava Database Management Syatem Using Geographic Information System: A Case Study of Ubon Ratchathani Province. Journal of Industrial Technology Ubon Ratchathani Rajabhat University, 9(1), 147-158. Retrieved from https://www.tci-thaijo.org/index.php/jitubru/article/view/183427
Section
Research Article

References

[1] Maneenate S. and Chaichan K.. Economic analysis of production and marketing of Cassava in Nakonratchasima to support the implementation of Asean Economic Community (AEC). Economics Program Faculty of Management Science Nakhon Ratchasima Rajabhat University. 2015. (in Thai)
[2] National Economic and Social Development Plan No.12 (2017-2021). Office of the National Economic and Social Development Board. 2016.
[3] Suparhan D. Botany and genetics of cassava. Crop Research Paper: Rayong Crop Research Center. Department of Agriculture. 1994. (in Thai)
[4] Chao Z, Xiaodong Z, Jianyu Y, Haixia L, Dehai Z, Wanbin Z. Evaluation of cassava planting potential with remote sensing and GIS. New Zealand Journal of Agricultural Research. 2007 Dec 1; 50(5): 1135-40.
[5] Sukhatme, P. V. (1957). Sampling theory of surveys with applications. The Indian Society Of Agricultural Statistics; New Delhi. (in Thai)
[6] Ferguson, G. A. (1959). Statistical analysis in psychology and education.
[7] Sokal RR, Rohlf FJ. The principles and practice of statistics in biological research. San Francisco: WH Freeman and company; 1969.