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Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil.

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第一作者： Afef,Marzougui

第一单位： Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA.

作者： Afef,Marzougui ^[1] ; Yu,Ma ^[2] ; Rebecca J,McGee ^[3] ; Lav R,Khot ^[1] ; Sindhuja,Sankaran ^[1]

作者单位： Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA. ^[1] Department of Horticulture, Washington State University, Pullman, WA, USA. ^[2] United States Department of Agriculture-Agricultural Research Service, Grain Legume Genetics and Physiology Research Unit, Washington State University, Pullman, WA, USA. ^[3]

DOI 10.34133/2020/2393062

PMID 33575665

发布时间 2021-02-13

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Plant phenomics (Washington, D.C.)

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Plant phenomics (Washington, D.C.)

2020年2020卷

2393062页

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Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil.

Plant phenomics (Washington, D.C.)

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Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil.

Plant phenomics (Washington, D.C.)

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Plant phenomics (Washington, D.C.)

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