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S5-O.10-Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales

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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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