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- W2945982805 abstract "This study proposed designing knowledge based solution through the collaboration of experts’ knowledge with the machine learning knowledge base to recommending suitable agricultural crops for a farm land. To design the collaborative approach the knowledge was acquired from document analysis, domain experts’ interview and hidden knowledge were extracted from Ethiopia national meteorology agency weather dataset and from central statistics agency crop production dataset by using machine learning algorithms. The study follows the design science research methodology, with CommonKADS and HYBRID models; and WEKA, SWI-Prolog 7.32 and Java NetBeans tools for the whole process of extracting knowledge, develop the knowledge base and for developing graphical user interface respectively." @default.
- W2945982805 created "2019-05-29" @default.
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- W2945982805 date "2019-01-01" @default.
- W2945982805 modified "2023-10-14" @default.
- W2945982805 title "A Collaborative Approach to Build a KBS for Crop Selection: Combining Experts Knowledge and Machine Learning Knowledge Discovery" @default.
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- W2945982805 doi "https://doi.org/10.1007/978-3-030-26630-1_8" @default.
- W2945982805 hasPublicationYear "2019" @default.
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