Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps. Jones S, Singh AK. K Nagasubramanian, S Jones, AK Singh… - arXiv preprint arXiv …, 2018 - arxiv.org GSID: Iak0d4E4j60J
Plant disease identification using explainable 3D deep learning on hyperspectral images. Jones S, Sarkar S, Singh AK. K Nagasubramanian, S Jones, AK Singh, S Sarkar… - Plant methods, 2019 - Springer GSID: in-rOQ0pPDcJ
Disease spots identification of potato leaves in hyperspectral based on locally adaptive 1D-CNN. [No authors listed] F Liu, Z Xiao - 2020 IEEE International Conference on Artificial …, 2020 - ieeexplore.ieee.org GSID: HHz3U6IB8mcJ
Plant disease detection and classification by deep learning. Arif KM, Saleem MH. MH Saleem, J Potgieter, KM Arif - Plants, 2019 - mdpi.com GSID: r2lnvKuiI-IJ
A review of deep learning used in the hyperspectral image analysis for agriculture. [No authors listed] C Wang, B Liu, L Liu, Y Zhu, J Hou, P Liu… - Artificial Intelligence …, 2021 - Springer GSID: 6lJVUnIdxsMJ
Deep learning meets hyperspectral image analysis: A multidisciplinary review. Benini S, Savardi M, Signoroni A. A Signoroni, M Savardi, A Baronio, S Benini - Journal of Imaging, 2019 - mdpi.com GSID: W0KSS6-SSn8J
