In-field classification of the asymptomatic biotrophic phase of potato late blight based on deep learning and proximal hyperspectral imaging

• Published in: Computers and electronics in agriculture Vol. 205; p. 107585
• Main Authors: Qi, Chao, Sandroni, Murilo, Cairo Westergaard, Jesper, Høegh Riis Sundmark, Ea, Bagge, Merethe, Alexandersson, Erik, Gao, Junfeng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2023
• Subjects: Agricultural Science; Asymptomatic biotrophic phase; Attention networks; Convolutional neural networks; Jordbruksvetenskap; Plant phenotyping; Wavelength selection; Asymptomatic biotrophic phase; Attention networks; Plant phenotyping; Convolutional neural networks; Wavelength selection

•In-field classification of the asymptomatic biotrophic phase of potato late blight.•Proximal hyperspectral images collected in multiple days with 20 potato genotypes.•A new 3D convolutional deep learning architecture PLB-2D-3D-A is proposed.•Important wavelengths are determined for early PLB diseas...