firdaus, firdaus (2019) Conceptual Modeling for Intelligent Knowledge-Based System in Agriculture: Case Study of Indonesia. Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018 (860524). pp. 397-402.
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Abstract
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. © 2018 IEEE.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Mr Firdaus Firdaus |
| Date Deposited: | 17 Mar 2023 14:49 |
| Last Modified: | 17 Mar 2023 14:49 |
| URI: | http://repository.unsri.ac.id/id/eprint/90724 |
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