| dc.contributor.author | B. Seminar, Kudang | |
| dc.contributor.author | Arkeman, Yandra | |
| dc.contributor.author | J. Lahay, Rakhmat | |
| dc.date.accessioned | 2015-02-18T02:03:51Z | |
| dc.date.available | 2015-02-18T02:03:51Z | |
| dc.date.issued | 2014-09 | |
| dc.identifier.isbn | 978-0-646-92873-9 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/74169 | |
| dc.description.abstract | Food crisis is now becoming critical issue in the global world and thus becoming a great challenge for many countries to cope with. In this paper we discuss the utilization of intelligent computation to support early detection of food crisis and spatial-based decision making of potential land evaluation for food production. The intelligent part of the proposed system comprises fuzzy logic, artificial neural network, and dynamic system models to cope with multicriteria decision making for detecting early occurrences of food crisis and for examining the potential land for food production and food supply adequacy. The proposed system has been developed, implemented and tested with real data in Indonesia | en |
| dc.language.iso | en | |
| dc.publisher | Australian Society of Information and Communication Technologies in Agriculture Inc. P/O Box 627, Inglewood , Western Australia, 6932 | |
| dc.title | An Intelligent System For Early Detection of Food Crisis And Spatial-Based Decision Making of Potential Land Evaluation For Food Production | en |
| dc.type | Article | en |
| dc.subject.keyword | food crisis | en |
| dc.subject.keyword | early warning system | en |
| dc.subject.keyword | multi-criteria decision making | en |
| dc.subject.keyword | spatial database | en |
