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Joint modeling of grain yield and root lodging in maize using multi-output neural network and machine learning models under defined environmental conditions
Dušan Dunđerski, Božana Purar, Anja Đurić, Maja Tanasković, Dušan Stanisavljević, Goran Bekavac
Izvirni znanstveni članek
Oznake: Phaseolus vulgaris;machine learning;grain yield;lodging;maize;permutation feature importance;joint modeling;environment;
We evaluated a multi-output neural network framework for jointly analyzing maize grain yield (GY) and root lodging percentage (LP) using above-ground morphological traits measured under defined environmental conditions. To address model robustness, the multi-output neural network was compared with l ...
Leto: 2026 Vir: Kmetijski inštitut Slovenije (KIS)
Št. zadetkov: 1
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