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2010 International Computer Engineering Conference (ICENCO)
This paper presents an approach for mining agricultural problems that have been accumulated in a textual database over a period of 5 years. The problems, which are accompanied by their solutions, offer a wealth of knowledge that can be used by decision makers, researchers, and farmers alike. However, this wealth of knowledge can not be unlocked without a) representing these problems in a structured format, and b) applying algorithms that can summarize and analyze this information. Towards thedoi:10.1109/icenco.2010.5720431 fatcat:moinesxs5vewlhhfo5hhfe4qam