Lightweight Fruit-Detection Algorithm for Edge Computing Applications

In recent years, deep-learning-based fruit-detection technology has exhibited excellent performance in modern horticulture research. However, deploying deep learning algorithms in real-time field applications is still challenging, owing to the relatively low image processing capability of edge devic...

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Detalles Bibliográficos
Autores principales: Zhang, Wenli, Liu, Yuxin, Chen, Kaizhen, Li, Huibin, Duan, Yulin, Wu, Wenbin, Shi, Yun, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548576/
https://www.ncbi.nlm.nih.gov/pubmed/34721466
http://dx.doi.org/10.3389/fpls.2021.740936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548576/
https://www.ncbi.nlm.nih.gov/pubmed/34721466
http://dx.doi.org/10.3389/fpls.2021.740936

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