AAAI Publications, 2010 AAAI Spring Symposium Series

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An Approach for Mining Accumulated Crop Cultivation Problems and their Solutions
Samhaa R. El-Beltagy, Ahmed Rafea, Said Mabrouk, Mahmoud Rafea

Last modified: 2010-03-16


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 the achievement of the first goal, a multi-faceted object extraction methodology is presented, and for the achievement of the second, association rules are employed. As a proof of concept, the tool was applied of a set of weed problems. The presented methodology can be modified to work with any help and support textual database where both problems and their solutions are present.


knowledge mining; association rules; agriculture

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