Literature DB >> 27810146

Machine Learning for Plant Phenotyping Needs Image Processing.

Sotirios A Tsaftaris1, Massimo Minervini2, Hanno Scharr3.   

Abstract

Keywords:  image processing; machine learning; plant phenotyping; stress.

Mesh：

Year:  2016        PMID： 27810146     DOI： 10.1016/j.tplants.2016.10.002

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN： 1360-1385            Impact factor:   18.313


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  31 in total

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Review 5.  Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.

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6.  Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks.

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7.  Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat.

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Journal:  Plant Methods       Date:  2017-12-22       Impact factor: 4.993

8.  AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping.

Authors:  Michael P Pound; Susan Fozard; Mercedes Torres Torres; Brian G Forde; Andrew P French
Journal:  Plant Methods       Date:  2017-03-08       Impact factor: 4.993

9.  Metric learning for image-based flower cultivars identification.

Authors:  Ruisong Zhang; Ye Tian; Junmei Zhang; Silan Dai; Xiaogai Hou; Jue Wang; Qi Guo
Journal:  Plant Methods       Date:  2021-06-22       Impact factor: 4.993

10.  Citizen crowds and experts: observer variability in image-based plant phenotyping.

Authors:  M Valerio Giuffrida; Feng Chen; Hanno Scharr; Sotirios A Tsaftaris
Journal:  Plant Methods       Date:  2018-02-09       Impact factor: 4.993
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