An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon

Tan, Haibo; Hu, Yating; Ma, Benxue; Yu, Guowei; Li, Yujie

doi:10.1016/j.foodcont.2023.110168

Food Control

2024

DOI: 10.1016/j.foodcont.2023.110168

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An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon

Haibo Tan,

Yating Hu,

Benxue Ma

et al.

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Cited by 8 publications

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An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon

Cited by 8 publications

References 35 publications

A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects

A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects

Mechanistic understanding of nanoparticle interactions to achieve highly-ordered arrays through self-assembly for sensitive surface-enhanced Raman scattering detection of trace thiram

Fast prediction of diverse rare ginsenoside contents in Panax ginseng through hyperspectral imaging assisted with the temporal convolutional network-attention mechanism (TCNA) deep learning

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