Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery

BACKGROUND: The objective of this study is twofold. First, ascertain the important variables that predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were derived from images taken by unmanned aerial vehicles (UAVs). Second, examine the accuracy of predictions of to...

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Detalles Bibliográficos
Autores principales: Tatsumi, Kenichi, Igarashi, Noa, Mengxue, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281694/
https://www.ncbi.nlm.nih.gov/pubmed/34266447
http://dx.doi.org/10.1186/s13007-021-00761-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281694/
https://www.ncbi.nlm.nih.gov/pubmed/34266447
http://dx.doi.org/10.1186/s13007-021-00761-2

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