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...

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Detalles Bibliográficos
Autores principales: Qi, Chao, Chang, Jiangxue, Zhang, Jiayu, Zuo, Yi, Ben, Zongyou, Chen, Kunjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002527/
https://www.ncbi.nlm.nih.gov/pubmed/35406818
http://dx.doi.org/10.3390/plants11070838

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