DocumentCode :
2611652
Title :
AgriMine: A tool for mining agricultural problems and their solutions
Author :
El-Beltagy, Samhaa R. ; Rafea, Ahmed ; Mabrouk, Said ; Rafea, Mahmoud
Author_Institution :
Fac. of Comput. & Inf., Cairo Univ., Cairo, Egypt
fYear :
2010
fDate :
27-28 Dec. 2010
Firstpage :
81
Lastpage :
85
Abstract :
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.
Keywords :
agriculture; data mining; database management systems; AgriMine; agricultural problem mining; association rules; multifaceted object extraction methodology; textual database; weed problems; Databases; Engines; agriculture; association rules; data mining; information extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering Conference (ICENCO), 2010 International
Conference_Location :
Giza
Print_ISBN :
978-1-61284-184-7
Type :
conf
DOI :
10.1109/ICENCO.2010.5720431
Filename :
5720431
Link To Document :
بازگشت