MSR-RCNN: A Multi-Class Crop Pest Detection Network Based on a Multi-Scale Super-Resolution Feature Enhancement Module

Pest disaster severely reduces crop yield and recognizing them remains a challenging research topic. Existing methods have not fully considered the pest disaster characteristics including object distribution and position requirement, leading to unsatisfactory performance. To address this issue, we p...

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Detalles Bibliográficos
Autores principales: Teng, Yue, Zhang, Jie, Dong, Shifeng, Zheng, Shijian, Liu, Liu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927730/
https://www.ncbi.nlm.nih.gov/pubmed/35310676
http://dx.doi.org/10.3389/fpls.2022.810546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927730/
https://www.ncbi.nlm.nih.gov/pubmed/35310676
http://dx.doi.org/10.3389/fpls.2022.810546

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