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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1746-4811

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery ; volume:17 ; number:1 ; day:15 ; month:7 ; year:2021 ; pages:1-17 ; date:12.2021
Plant methods ; 17, Heft 1 (15.7.2021), 1-17, 12.2021

Creator: Tatsumi, Kenichi
Igarashi, Noa
Mengxue, Xiao

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13007-021-00761-2

URN: urn:nbn:de:101:1-2021101723414384997264

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:39 AM CEST

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Tatsumi, Kenichi
Igarashi, Noa
Mengxue, Xiao
SpringerLink (Online service)

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

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