Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy

Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy

ABSTRACTAbove-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements of AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access to AGB data has potentially...

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Bibliographic Details
Main Authors: Kota Nakajima, Yu Tanaka, Keisuke Katsura, Tomoaki Yamaguchi, Tomoya Watanabe, Tatsuhiko Shiraiwa
Format: Article
Language:English
Published: Taylor & Francis Group 2023-04-01
Series:Plant Production Science
Subjects:
Above-ground biomass
Biomass estimation
Convolutional neural network
Digital image
Rice
World rice core collection
Online Access:https://www.tandfonline.com/doi/10.1080/1343943X.2023.2210767

Internet

https://www.tandfonline.com/doi/10.1080/1343943X.2023.2210767

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