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.
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Acknowledgements
This paper has been supported by Short Term Grant, Universiti Tun Hussein Onn Malaysia (Vot U539) for the financial support. This research is also supported by GATES IT Solution Sdn. Bhd. under its publication scheme.
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Yusof, M.M., Rosli, N.F., Othman, M., Mohamed, R., Abdullah, M.H.A. (2018). M-DCocoa: M-Agriculture Expert System for Diagnosing Cocoa Plant Diseases. In: Ghazali, R., Deris, M., Nawi, N., Abawajy, J. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2018. Advances in Intelligent Systems and Computing, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-319-72550-5_35
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DOI: https://doi.org/10.1007/978-3-319-72550-5_35
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