Plant disease identification using explainable 3D deep learning on hyperspectral images

Plant disease identification using explainable 3D deep learning on hyperspectral images

Abstract Background Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained in hyperspectral data cubes makes deep learning based identification of plant diseases a natural fit. Here, we deploy a novel 3D deep...

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Bibliographic Details
Main Authors: Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Plant Methods
Subjects:
Deep convolutional neural network
Charcoal rot disease
Soybean
Saliency map
Hyperspectral
Online Access:http://link.springer.com/article/10.1186/s13007-019-0479-8

Internet

http://link.springer.com/article/10.1186/s13007-019-0479-8

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