UAV-based individual Chinese cabbage weight prediction using multi-temporal data

The use of unmanned aerial vehicles (UAVs) has facilitated crop canopy monitoring, enabling yield prediction by integrating regression models. However, the application of UAV-based data to individual-level harvest weight prediction is limited by the effectiveness of obtaining individual features. In...

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Detalles Bibliográficos
Autores principales: Aguilar-Ariza, Andrés, Ishii, Masanori, Miyazaki, Toshio, Saito, Aika, Khaing, Hlaing Phyoe, Phoo, Hnin Wint, Kondo, Tomohiro, Fujiwara, Toru, Guo, Wei, Kamiya, Takehiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656565/
https://www.ncbi.nlm.nih.gov/pubmed/37978327
http://dx.doi.org/10.1038/s41598-023-47431-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656565/
https://www.ncbi.nlm.nih.gov/pubmed/37978327
http://dx.doi.org/10.1038/s41598-023-47431-y

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