Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

Assessment of Mixed Sward Using Context Sensitive Convolutional Neural Networks

Breeding higher yielding forage species is limited by current manual harvesting and visual scoring techniques used for measuring or estimation of biomass. Automation and remote sensing for high throughput phenotyping has been used in recent years as a viable solution to this bottleneck. Here, we foc...

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Bibliographic Details
Main Authors: Christopher J. Bateman, Jaco Fourie, Jeffrey Hsiao, Kenji Irie, Angus Heslop, Anthony Hilditch, Michael Hagedorn, Bruce Jessep, Steve Gebbie, Kioumars Ghamkhar
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Plant Science
Subjects:
forage yield
clover
ryegrass
biomass
semantic segmentation
deep learning
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2020.00159/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2020.00159/full

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