The Selection of Economic Horticulture for Suitable Planting in Ubon Ratchathani Province by Data Mining Techniques
Abstract
The objectives of this research were to create models and develop a program that selects suitable economic horticulture for the cultivated areas in Ubon Ratchathani Province using 2-steps data mining techniques: K-means clustering technique and Decision tree classification technique. The secondary data in 2015-2017 were used in this research. The input variables were soil data, economic horticultural data, climate data, and area. The class variable was the 14 types of economic horticulture. The result of the K-means clustering found that Ubon Ratchathani Province was classified in the third cluster with a total of 207 districts in 15 provinces. The results of the decision tree classifications found that 1) the suitable economic horticulture for planting in all districts of Ubon Ratchathani Province were rambutan, rubber, oil palm, and citrus with an accuracy of 75.77%, 71.42%, 69.23%, and 58.84%, respectively. 2) The suitable economic horticultures for planting in some districts of Ubon Ratchathani Province were mangosteen, lychee, tangerine, durian, longan with an accuracy of 87.37%, 87.37%, 86.24%, 85.73%, and 85.23% respectively. When the model of horticultural selection was used to develop a program in web application. The satisfied level of a sample of the farmer to a program that selects suitable economic horticulture for the cultivated areas in Ubon Ratchathani Province was high level. Keywords : data mining ; clustering; classificationReferences
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Eakasit, P. (2014). An Introduction to Data Mining Techniaues. Bangkok, Asia Digital Press Co., Ltd.
Natthakan, S., Ranida, P., & Phet Sawat, K.(2015). Planting and Factors Influencing Factors in Planting of Farmers Promoting by the Sako Royal Project Center in Sridon Mun, Chiang Saen, Chiang Rai province, Thailand. In Thai Students Symposium of Geography and Geoinformatics. 8(December) : (pp. 74). Chulalongkorn University, Bangkok. (in Thai).
Office of the National Economic and Social Development Council. (2015). 12th Economic and Social Development Plan (2017-2021).Retrieved July 18, 2010, from http://www.nesdb.go.th/main.php?filename=develop_issue
Onuma, N., & Nattavee, U. (2010). Analysis System for Corporate Customer: Case Study of Product Cash Management Group for Kasikorn Bank. In The 6TH National Conference on Computing and Information Technology. In Proceeding National Conference on Computing and Information Technology. (p.970-975). King Mongkut's University of Technology North Bangkok, Bangkok. (in Thai).
Pansakorn, W., & Kraisak, K.(2015). Decision Support System for Economic Crops using Hybrid Approaches.
In National Conference on Information Technology. (October) : (pp.425-431). Chiang Mai, Thailand.
(in Thai).
Piyathida, R. (2009). The comparison of clustering techniques for cluster analysis. (Master’s thesis),Kasetsart University, Bangkok. (in Thai).
Puvadol, D., & Supaporn, W. (2015). Application of geographic information system for selected commercial crop zonation mapping in Nong Han Luang, Sakon Nakhon province, Thailand. In Proceeding of Kasetsart University Annual Conference. 53(February) : (pp. 1552-1560). Kasetsart University, Bangkok. (in Thai).
Ravichandran, K., & Ananthi, B. (2009). Color skin segmentation using K-Means Cluster. Retrieved July 18, 2010, from http://www.ripublication.com/ijcamv2/ijcamv4n2_8.pdf
Srinivasan SP, Shanthi DS. (2017). A seed yield estimation modelling using classification and regression trees (CART) in the biofuel supply chain. J Biomed Imag Bioeng,1(1), 8-12.
Velickov, S., & Solomatine, D.P., 2000, “Predictive Data Mining: Practical Examples”, In: AI methods in Civil Engineering Applications. Proceeding of the 2nd Joint Workshop, Cottbus, Germany.
Wanlop, T., & Suphaphong, P. (2011). The Application of Geographic Information System for Agricultural Land Use Planning Kamphaeng Phet Province. The Golden Teak : Humanity and Social Science Journal, 17 (1), 21-36. (in Thai).
Yamane, T. (1967). Statistics : An Introductory Analysis. 2nd ed. New York :Harper &Row.
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2021-01-14
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