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

Fernando Perez-Sanz; Pedro J Navarro; Marcos Egea-Cortines

doi:10.1093/gigascience/gix092

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

Gigascience. 2017 Nov 1;6(11):1-18. doi: 10.1093/gigascience/gix092.

Authors

Fernando Perez-Sanz¹, Pedro J Navarro², Marcos Egea-Cortines¹

Affiliations

¹ Genetics, ETSIA, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.
² Genetics, Instituto de Biotecnología Vegetal, Universidad Politécnica de Cartagena, Campus Muralla del Mar, s/n, Cartagena 30202, Spain.

Abstract

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.

Keywords: Algorithms; artificial vision; deep learning; hyperspectral cameras; machine learning; segmentation.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Genome, Plant*
Genomics / methods*
Image Processing, Computer-Assisted / methods*
Machine Learning*
Phenotype*
Plants / genetics