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Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep Learning

Plant breeders, scientists, and commercial producers commonly use growth rate as an integrated signal of crop productivity and stress. Plant growth monitoring is often done destructively via growth rate estimation by harvesting plants at different growth stages and simply weighing each individual pl...

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Detalles Bibliográficos
Autores principales:	Buxbaum, Nicolas, Lieth, Johann Heinrich, Earles, Mason
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043900/ https://www.ncbi.nlm.nih.gov/pubmed/35498682 http://dx.doi.org/10.3389/fpls.2022.758818

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