Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery

BACKGROUND: Leaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation extraction in remote sensing imagery is critical for LAI estimation. However, most studies do not fully exploit the advantages of Unmanned Aerial Vehicle (U...

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Detalles Bibliográficos
Autores principales: Wu, Shuang, Deng, Lei, Guo, Lijie, Wu, Yanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118866/
https://www.ncbi.nlm.nih.gov/pubmed/35590377
http://dx.doi.org/10.1186/s13007-022-00899-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118866/
https://www.ncbi.nlm.nih.gov/pubmed/35590377
http://dx.doi.org/10.1186/s13007-022-00899-7

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