Opportunities and challenges in phenotyping row crops using drone-based RGB imaging

Dorothy D. Sweet, Sara B. Tirado, Nathan M. Springer, Candice N Hirsch, Cory D Hirsch

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

Abstract

Developing the resilient crops of the future will require access to a broad set of tools. While advances in sequencing and marker technologies have facilitated marker-trait associations and the ability to predict the phenotype of an individual from its genotypic information, other tools such as high-throughput phenotyping are still in their infancy. Advances in sensors, aeronautics, and computing have enabled progress. Here, we review current platforms and sensors available for top-down field phenotyping with a focus on unoccupied aerial vehicles (UAVs) and red, green, blue sensors. We also review the ability and effectiveness of extracting traits from images captured using combinations of these platforms and sensors. Improvements in trait standardization and extraction software are expected to increase the use of high-throughput phenotyping in the coming years and further facilitate crop improvement.

Original languageEnglish (US)
Article numbere20044
JournalPlant Phenome Journal
Volume5
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Funding Information:
This review was supported by the Minnesota Corn Research and Promotion Council. Sara Tirado was funded by the University of Minnesota Graduate Opportunity Fellowship, the University of Minnesota APS Metric Funds Fellowship, and a Monsanto/University of Minnesota Multifunctional Agriculture Initiative Graduate Student Fellowship.

Publisher Copyright:
© 2022 The Authors. The Plant Phenome Journal published by Wiley Periodicals LLC on behalf of American Society of Agronomy and Crop Science Society of America.

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