Small and Oriented Wheat Spike Detection at the Filling and Maturity Stages Based on WheatNet

Accurate wheat spike detection is crucial in wheat field phenotyping for precision farming. Advances in artificial intelligence have enabled deep learning models to improve the accuracy of detecting wheat spikes. However, wheat growth is a dynamic process characterized by important changes in the co...

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Detalles Bibliográficos
Autores principales: Zhao, Jianqing, Cai, Yucheng, Wang, Suwan, Yan, Jiawei, Qiu, Xiaolei, Yao, Xia, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Zhang, Xiaohu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618025/
https://www.ncbi.nlm.nih.gov/pubmed/37915995
http://dx.doi.org/10.34133/plantphenomics.0109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618025/
https://www.ncbi.nlm.nih.gov/pubmed/37915995
http://dx.doi.org/10.34133/plantphenomics.0109

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