Rapid Detection of Wheat Ears in Orthophotos From Unmanned Aerial Vehicles in Fields Based on YOLOX

Wheat ears in unmanned aerial vehicles (UAV) orthophotos are characterized by occlusion, small targets, dense distribution, and complex backgrounds. Rapid identification of wheat ears in UAV orthophotos in a field environment is critical for wheat yield prediction. Three improvements were achieved b...

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Detalles Bibliográficos
Autores principales: Zhaosheng, Yao, Tao, Liu, Tianle, Yang, Chengxin, Ju, Chengming, Sun
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/PMC9094485/
https://www.ncbi.nlm.nih.gov/pubmed/35574098
http://dx.doi.org/10.3389/fpls.2022.851245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094485/
https://www.ncbi.nlm.nih.gov/pubmed/35574098
http://dx.doi.org/10.3389/fpls.2022.851245

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