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Erschienen in:
2018 | OriginalPaper | Buchkapitel
M-DCocoa: M-Agriculture Expert System for Diagnosing Cocoa Plant Diseases
verfasst von : Munirah Mohd Yusof, Nur Fazliyana Rosli, Muhaini Othman, Rozlini Mohamed, Mohd Hafizul Afifi Abdullah
Erschienen in: Recent Advances on Soft Computing and Data Mining
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Abstract
Major technological advancements were experienced including mobile applications in the various domain. The advancement in mobile applications not only used for our daily life and chores but it leads to more specific and technical purposes such as in medical, engineering, agriculture and education domain. This paper aims to study the implementation of mobile systems in agriculture and proposes a development of M-Agriculture that help in diagnosing cocoa plant diseases named as M-DCocoa. This application enables a user to recognize cocoa diseases afflict by the plant and provide user appropriate advice or treatments in shorter time period. The user will answer the questions based on cocoa plant condition or symptoms and the application generates the answer in form of disease and treatments. A rule-based and forward chaining inference engine has been used as part of the system development. With this application, it helps and allows the user to recognize cocoa diseases with useful treatments suggestion.