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Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset
Despite the wide use of computer vision methods in plant health monitoring, little attention is paid to segmenting the diseased leaf area at its early stages. It can be explained by the lack of datasets of plant images with annotated disease lesions. We propose a novel methodology to generate fluore...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685808/ https://www.ncbi.nlm.nih.gov/pubmed/36438124 http://dx.doi.org/10.3389/fpls.2022.969205 |