A data mining approach to simulating farmers' crop choices for integrated water resources management

• Published in: Journal of environmental management Vol. 77; no. 4; pp. 315 - 325
• Main Authors: Ekasingh, B., Ngamsomsuke, K., Letcher, R.A., Spate, J.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01-12-2005; Elsevier; Academic Press Ltd
• Subjects: agricultural watersheds; Agriculture; algorithms; Animal, plant and microbial ecology; Applied ecology; Biological and medical sciences; computer software; Conservation of Natural Resources; Conservation, protection and management of environment and wildlife; crop production; Crops, Agricultural; Data analysis; Data Collection; data mining; Decision Making; decision support system; decision support systems; decision tree; Decision Trees; dry season; economic analysis; Environmental management; Farmers; farmers' attitudes; Fundamental and applied biological sciences. Psychology; General aspects; Humans; integrated assessment; land use; Models, Theoretical; national surveys; Rivers; Simulation; simulation models; Socioeconomic Factors; Thailand; Water management; Water resources; Water Supply; water use; wet season; Thailand; decision tree; data mining; integrated assessment; decision support system; Mining; Decision support system; Water resource management; Tree; Farmer; Environmental management; Mining industry
• ISSN: 0301-4797; 1095-8630
• DOI: 10.1016/j.jenvman.2005.06.015

Water and land resources in Thailand are increasingly under pressure from development. In particular, there are many resource conflicts associated with agricultural production in northern Thailand. Communities in these areas are significantly constrained in the land and water management decisions they are able to make. This paper describes the application of a data mining approach to describing and simulating farmers' decision rules in a catchment in northern Thailand. This approach is being applied to simulate social, economic and biophysical constraints on farmers' decisions in these areas as part of an integrated water management model.