Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms | Zendy

Fernando Pérez-Sánz | Zendy; Pedro Navarro | Zendy; Marcos EgeaCortines | Zendy

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

Author(s) -

Fernando Pérez-Sánz,

Pedro Navarro,

Marcos EgeaCortines

Publication year - 2017

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/gix092

Subject(s) - phenomics , computer science , field (mathematics) , data acquisition , image processing , set (abstract data type) , artificial intelligence , image (mathematics) , data set , data science , data mining , mathematics , biology , genomics , biochemistry , genome , gene , pure mathematics , programming language , operating system

The study of phenomes or phenomics has been a central part of biology. The field of automatic phenotype acquisition technologies based on images has seen an important advance in the last years. As with other high-throughput technologies, it addresses a common set of problems, including data acquisition and analysis. In this review, we give an overview of the main systems developed to acquire images. We give an in-depth analysis of image processing with its major issues and the algorithms that are being used or emerging as useful to obtain data out of images in an automatic fashion.

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