DocumentCode :
707437
Title :
Expert system for the management of insect-pests in pulse crops
Author :
Devraj ; Jain, Renu ; Deep, Vikas
Author_Institution :
Div. of Social Sci., Indian Inst. of Pulses Res., Kanpur, India
fYear :
2015
fDate :
11-13 March 2015
Firstpage :
1144
Lastpage :
1150
Abstract :
The paper describes the design, development and implementation of a specialized system for the management of insect-pests in pulse crops. It is a web-based system that facilitate “farmers/extension workers” to diagnose insect-pests of major pulse crops viz., Chickpea, Pigeonpea, Mungbean and Urdbean (highly consumed pulse crops) and recommends the suitable treatments. Knowledge acquisition sub - system of the system offers online interface for entering, storing and structuring the domain specific knowledge to the domain experts. This paper also presents a methodology to develop an integrated knowledge base which combines the knowledge fed by the multiple experts in the framework of knowledge. The system holds an integrated knowledge base that incorporates information for the diagnosing of 20 major insect-pests of pulses emerging right from seedling to ripening. The presented work provides user-friendly interface that is able to asks the textual as well as pictographic symptoms in the outline form of multiple-choice questionnaire. Based on given answers, system identifies the pulse crop insect-pests along with its confidence factor and recommends most suitable treatments. The system´s performance was found good and comparison between recommendations of human experts and system itself showed 92% agreement.
Keywords :
Internet; crops; diagnostic expert systems; knowledge acquisition; pest control; Web-based system; chickpea; confidence factor; domain specific knowledge storage; domain specific knowledge structure; expert system; farmers-extension workers; insect-pest diagnosis; insect-pest management; integrated knowledge base; knowledge acquisition subsystem; mungbean; online interface; pictographic symptoms; pigeonpea; pulse crops; urdbean; Agriculture; Databases; Engines; Knowledge acquisition; Knowledge based systems; Production; automatic knowledge acquisition system; confidence factor; pictographic symptoms; production rules; reliability estimate; textual symptoms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
Type :
conf
Filename :
7100427
Link To Document :
بازگشت