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Improving Image-Based Plant Disease Classification With Generative Adversarial Network Under Limited Training Set
Traditionally, plant disease recognition has mainly been done visually by human. It is often biased, time-consuming, and laborious. Machine learning methods based on plant leave images have been proposed to improve the disease recognition process. Convolutional neural networks (CNNs) have been adopt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746658/ https://www.ncbi.nlm.nih.gov/pubmed/33343595 http://dx.doi.org/10.3389/fpls.2020.583438 |