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Medicinal Chrysanthemum Detection under Complex Environments Using the MC-LCNN Model
Medicinal chrysanthemum detection is one of the desirable tasks of selective chrysanthemum harvesting robots. However, it is challenging to achieve accurate detection in real time under complex unstructured field environments. In this context, we propose a novel lightweight convolutional neural netw...
| 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/PMC9002527/ https://www.ncbi.nlm.nih.gov/pubmed/35406818 http://dx.doi.org/10.3390/plants11070838 |