An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis

Author:

Lee Unseok,Chang Sungyul,Putra Gian Anantrio,Kim Hyoungseok,Kim Dong HwanORCID

Funder

National Research Council of Science and Technology

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference37 articles.

1. Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis;D Chen;The Plant Cell Online,2014

2. Monitoring Plant Phenology Using Digital Repeat Photography;MA Crimmins;Environmental Management,2008

3. High-Throughput Phenotyping of Plant Shoots;B Berger;High-Throughput Phenotyping of Plant Shoots,2012

4. Large-scale evaluation of plant growth in Arabidopsis thaliana by non-invasive image analysis;D Leister;Plant Physiology and Biochemistry,1999

5. Novel Image Segmentation Based on Machine Learning and Its Application to Plant Analysis;J Cai;International Journal of Information and Electronics Engineering,2011

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