Title :
Plant Selection System
Author :
Mutalib, Sofianita ; Azlan, Nurulwahidah Mohammad ; Yusoff, Marina ; Rahman, Shuzlina Abdul ; Mohamed, Azlinah
Author_Institution :
SIG Intell. Syst., Univ. Teknol. MARA, Shah Alam
fDate :
June 30 2008-July 3 2008
Abstract :
Expert in agriculture field is in demand, so storing their knowledge would be useful. This research is to analyze the information in agriculture by constructing rules in evaluating the potential plants based on soil suitability and also marketability, yields, consumption or budget. The expertpsilas knowledge was extracted from an agriculture officer and represented in the IF-THEN rules using confident factor. The suggestion is created based on the percentage that was above 80%. In conclusion, the system can give explanations about potential plants, the financial and marketing support and fertilization. It is recommended to apply hybrid expert system and others in future, in order to get even better and accurate results.
Keywords :
agriculture; expert systems; knowledge acquisition; soil; tree searching; IF-THEN rules; agriculture; hybrid expert system; knowledge extraction; marketability; plant selection system; soil suitability; Agriculture; Computational intelligence; Databases; Decision support systems; Engines; Expert systems; Intelligent systems; Plants (biology); Soil; Temperature; Agriculture; Confident factor; Expert system;
Conference_Titel :
Computational Sciences and Its Applications, 2008. ICCSA '08. International Conference on
Conference_Location :
Perugia
Print_ISBN :
978-0-7695-3243-1
DOI :
10.1109/ICCSA.2008.33
