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S5-O.10-Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales
Citation
Ojeda, J and Eyshi Rezaei, E and Remenyi, T and Webb, M and Webber, H and Kamali, B and Harris, R and Brown, Jaclyn and Kidd, D and Mohammed, C and Siebert, S and Ewert, F and Meinke, H, S5-O.10-Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales, Second International Crop Modelling Symposium (iCROPM 2020): Crop Modelling for Agriculture and Food Security under Global Change, 3-5 February 2020, Montpellier, France, pp. 195-196. (2020) [Conference Extract]
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Item Details
| Item Type: | Conference Extract |
|---|---|
| Keywords: | data resolution, scale, regional modelling, data aggregation |
| Research Division: | Agricultural, Veterinary and Food Sciences |
| Research Group: | Agriculture, land and farm management |
| Research Field: | Agricultural spatial analysis and modelling |
| Objective Division: | Plant Production and Plant Primary Products |
| Objective Group: | Horticultural crops |
| Objective Field: | Almonds |
| UTAS Author: | Ojeda, J (Dr Jonathan Ojeda) |
| UTAS Author: | Remenyi, T (Dr Tom Remenyi) |
| UTAS Author: | Harris, R (Dr Rebecca Harris) |
| UTAS Author: | Brown, Jaclyn (Dr Jaclyn Brown) |
| UTAS Author: | Mohammed, C (Professor Caroline Mohammed) |
| UTAS Author: | Meinke, H (Professor Holger Meinke) |
| ID Code: | 137049 |
| Year Published: | 2020 |
| Deposited By: | Agriculture and Food Systems |
| Deposited On: | 2020-01-29 |
| Last Modified: | 2021-06-25 |
| Downloads: | 0 |
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