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Precision Agriculture ’23 2023
DOI: 10.3920/978-90-8686-947-3_76
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76. A new metric to evaluate spatial crop model performances

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Cited by 1 publication
(2 citation statements)
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“…The SBA is a specific metric for spatialized crop models (Pasquel et al, 2023) calculated by assessing both aspatial and spatial pattern errors. Thus, SBA is able to identify which simulation scale is the most relevant for modeling an agronomic variable (durum wheat yield here) using a given model (APSIM) and a given downscaling process (spatial calibration of selected model parameters).…”
Section: Model Output Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…The SBA is a specific metric for spatialized crop models (Pasquel et al, 2023) calculated by assessing both aspatial and spatial pattern errors. Thus, SBA is able to identify which simulation scale is the most relevant for modeling an agronomic variable (durum wheat yield here) using a given model (APSIM) and a given downscaling process (spatial calibration of selected model parameters).…”
Section: Model Output Evaluationmentioning
confidence: 99%
“…S.11). The SBA scores gave a relevant spatial evaluation of the APSIM performance as defined for spatialized crop models with estimation of aspatial and spatial error (Pasquel et al, 2023). There was a stabilization of SBA scores between the 10-zone to site-scale modeling.…”
Section: Spatialized Apsim Performance To Simulate Durum Wheat Yieldmentioning
confidence: 99%