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Research on a Hyperspectral Rice Yield Estimation Model Bas..:
, In:
2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
,
Wang, Xiaopan
;
Xi, Xingmei
;
Duan, Songjiang
... - p. 445-449 , 2023
Link:
https://doi.org/10.1109/CEI60616.2023.10528096
RT T1 <cTitle>2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)</cTitle>: T1 <Title>Research on a Hyperspectral Rice Yield Estimation Model Based on Random Forest</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10528096&Exemplar=1&LAN=DE A1 Wang, Xiaopan A1 Xi, Xingmei A1 Duan, Songjiang A1 Ma, Zezhong A1 Long, Xia A1 Ji, Rui YR 2023 K1 Training K1 Analytical models K1 Vegetation K1 Predictive models K1 Filling K1 Yield estimation K1 Indexes K1 Random forest K1 Rice K1 Estimation K1 Vegetation Index K1 Growing period SP 445 OP 449 LK http://dx.doi.org/https://doi.org/10.1109/CEI60616.2023.10528096 DO https://doi.org/10.1109/CEI60616.2023.10528096 SF ELIB - SuUB Bremen
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