Cucumber mosaic virus detection by artificial neural network using multispectral and multimodal imagery

Cucumber is a source of essential minerals to the diet. However, it is attacked by Cucumber mosaic virus that can reduce its yields. We propose in this study a strategy for early detection of this virus by artificial neural networks using the fingerprint of the cucumber leaves in the transmission, reflection and diffusion modes. We demonstrates in this work that the use of the optical spectral fingerprints of plants leaves contents, such as cucumber, is a powerful technique to resolve their contents and for earlier detection of some related diseases. We have built and used a cost-effective light emitting diodes multispectral and multimodal imaging which enabled the acquisition of the spectral and spatial information, used for an earlier detection of Cucumber mosaic virus.