Highlights of the GigaScience Plant Phenomics Series

Phenomics is a transdisciplanary area of research that involves biology, data science and engineering to systematically study phenotypes. Focusing on data integration and analyses, the GigaScience Plant Phenomics series has published a diverse set of papers showcasing an amazing array of datasets.
Papers featured in this video include:
Feldmann MJ et al. Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry. Gigascience. 2020 May 1;9(5):giaa030. doi.org/10.1093/gigascience/g...
Hamidinekoo A et al. DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis. Gigascience. 2020 Mar 1;9(3):giaa012. doi.org/10.1093/gigascience/g...
Bernotas G et al. A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth. Gigascience. 2019 May 1;8(5):giz056. doi.org/10.1093/gigascience/g...
Chitwood DH, Otoni WC. Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade. Gigascience. 2017 Jan 1;6(1):1-13. doi.org/10.1093/gigascience/g...
Manacorda CA, Asurmendi S. Arabidopsis phenotyping through geometric morphometrics. Gigascience. 2018 Jul 1;7(7):giy073. doi.org/10.1093/gigascience/g...
Gaggion N et al. ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture. Gigascience. 2021 Jul 20;10(7):giab052. doi.org/10.1093/gigascience/g...
Le VNT, Ahderom S, Apopei B, Alameh K. A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators. Gigascience. 2020 Mar 1;9(3):giaa017. doi.org/10.1093/gigascience/g...
For more on Plant Phenomics: Data Integration and Analyses:
academic.oup.com/gigascience/...
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