Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning

High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation, which requires accurate estimation of leaf area index (LAI). This study developed a hybrid method to train the random forest regression (RFR) models with synthetic datasets...

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Detalles Bibliográficos
Autores principales: Chen, Qiaomin, Zheng, Bangyou, Chenu, Karine, Hu, Pengcheng, Chapman, Scott C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317541/
https://www.ncbi.nlm.nih.gov/pubmed/35935677
http://dx.doi.org/10.34133/2022/9768253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317541/
https://www.ncbi.nlm.nih.gov/pubmed/35935677
http://dx.doi.org/10.34133/2022/9768253

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