A - Papers appearing in refereed journals
Corcoran, E., Hosseini, K., Siles-Suarez, L., Kurup, S. and Ahnert, S. 2025. Automated dynamic phenotyping of whole oilseed rape (Brassica napus) plants from images collected under controlled conditions. Frontiers in Plant Science. 16, p. 1443882. https://doi.org/10.3389/fpls.2025.1443882
Authors | Corcoran, E., Hosseini, K., Siles-Suarez, L., Kurup, S. and Ahnert, S. |
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Abstract | Introduction: Recent advancements in sensor technologies have enabled collection of many large, high-resolution plant images datasets that could be used to non-destructively explore the relationships between genetics, environment and management factors on phenotype or the physical traits exhibited by plants. The phenotype data captured in these datasets could then be integrated into models of plant development and crop yield to more accurately predict how plants may grow as a result of changing management practices and climate conditions, better ensuring future food security. However, automated methods capable of reliably and efficiently extracting meaningful measurements of individual plant components (e.g. leaves, flowers, pods) from imagery of whole plants are currently lacking. In this study, we explore interdisciplinary application of MapReader, a computer vision pipeline for annotating and classifying patches of larger images that was originally developed for semantic exploration of historical maps, to time-series images of whole oilseed rape (Brassica napus) plants. |
Year of Publication | 2025 |
Journal | Frontiers in Plant Science |
Journal citation | 16, p. 1443882 |
Digital Object Identifier (DOI) | https://doi.org/10.3389/fpls.2025.1443882 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | Tailoring Plant Metabolism (TPM) - Work package 1 (WP1) - High value lipids for health and industry |
Green Engineering | |
Brassica Rapeseed And Vegetable Optimisation (BRAVO) | |
Publisher's version | |
Output status | Published |
Publication dates | |
Online | 22 May 2025 |
Publication process dates | |
Accepted | 14 Apr 2025 |
Publisher | Frontiers Media SA |
ISSN | 1664-462X |
Permalink - https://repository.rothamsted.ac.uk/item/993z5/automated-dynamic-phenotyping-of-whole-oilseed-rape-brassica-napus-plants-from-images-collected-under-controlled-conditions