Image‐based high‐throughput phenotyping for the estimation of persistence of perennial ryegrass ( Lolium perenne L.)

Image‐based high‐throughput phenotyping for the estimation of persistence of perennial ryegrass ( Lolium perenne L.)—A review

Author:

Jayasinghe Chinthaka¹²,Badenhorst Pieter¹,Jacobs Joe²³,Spangenberg German⁴⁵,Smith Kevin¹²^ORCID

Affiliation:

1. Agriculture Victoria Research Hamilton Victoria Australia

2. School of Agriculture and Food Faculty of Veterinary and Agricultural Sciences The University of Melbourne Melbourne Victoria Australia

3. Agriculture Victoria Research Ellinbank Centre Ellinbank Victoria Australia

4. Agriculture Victoria Research AgriBio Centre for AgriBioscience Bundoora Victoria Australia

5. School of Applied Systems Biology La Trobe University Bundoora Victoria Australia

Funder

Dairy Australia

Gardiner Foundation

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Agronomy and Crop Science

Link

Reference173 articles.

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5. Andújar D. Moreno H. Valero C. Gerhards R. &Griepentrog H. W.(2013).Weed‐crop discrimination using LiDAR measurements.

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