A model to predict ordinal suitability using sparse and uncertain data
We describe the development of the algorithms that comprise the Spatial Decision Support System (SDSS) CaNaSTA (Crop Niche Selection in Tropical Agriculture). The system was designed to assist farmers and agricultural advisors in the tropics to make crop suitability decisions. These decisions are fr...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Pergamon
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/15699 |