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YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images
Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main architecture of YOLO-JD, we integrated three new module...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003326/ https://www.ncbi.nlm.nih.gov/pubmed/35406915 http://dx.doi.org/10.3390/plants11070937 |