Conceptual Modeling for Intelligent Knowledge-Based System in Agriculture: Case Study of Indonesia
Autor: | Firdaus, Siti Nurmaini, Dinda Lestarini, Sarifah Putri Raflesia, Anugrah K. Pamosoaji |
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Rok vydání: | 2018 |
Předmět: |
Government
Knowledge management Process (engineering) business.industry media_common.quotation_subject 05 social sciences Pillar 02 engineering and technology ComputingMilieux_GENERAL Knowledge-based systems Agricultural information Agriculture Order (business) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Conceptual model 020201 artificial intelligence & image processing business 050203 business & management media_common |
Zdroj: | 2018 International Conference on Electrical Engineering and Computer Science (ICECOS). |
Popis: | Agriculture is a pillar for economic growth in Indonesia. It drives the needs of agricultural information and knowledge increase. In order to provide information for farmers and knowledge to support the decision-making process in strategic level, the conceptual modeling for the intelligent knowledge-based system in agriculture is proposed. The conceptual model combines the geo-fencing technique to ensure the availability of information for farmers and machine learning to provide the knowledge for the strategic decision-making process in order to improve agricultural sector performance. |
Databáze: | OpenAIRE |
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