AgriMine: A tool for mining agricultural problems and their solutions
Samhaa R. El-Beltagy, Ahmed Rafea, Said Mabrouk, Mahmoud Rafea · 2010
This paper presents AgriMine which is a tool that was developed in order to mine agricultural problems 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 cannot be unlocked without first representing these problems in a structured format, and secondly 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.