Field-based individual plant phenotyping of herbaceous species by unmanned aerial vehicle

Wei Guo, Yuya Fukano, Koji Noshita, Seishi Ninomiya

Research output: Contribution to journalArticlepeer-review

Abstract

Recent advances in Unmanned Aerial Vehicle (UAVs) and image processing have made high-throughput field phenotyping possible at plot/canopy level in the mass grown experiment. Such techniques are now expected to be used for individual level phenotyping in the single grown experiment. We found two main challenges of phenotyping individual plants in the single grown experiment: plant segmentation from weedy backgrounds and the estimation of complex traits that are difficult to measure manually. In this study, we proposed a methodological framework for field-based individual plant phenotyping by UAV. Two contributions, which are weed elimination for individual plant segmentation, and complex traits (volume and outline) extraction, have been developed. The framework demonstrated its utility in the phenotyping of Helianthus tuberosus (Jerusalem artichoke), an herbaceous perennial plant species. The proposed framework can be applied to either small and large scale phenotyping experiments.

Original languageEnglish
Pages (from-to)12318-12326
Number of pages9
JournalEcology and Evolution
Volume10
Issue number21
DOIs
Publication statusPublished - Nov 2020

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Nature and Landscape Conservation

Fingerprint Dive into the research topics of 'Field-based individual plant phenotyping of herbaceous species by unmanned aerial vehicle'. Together they form a unique fingerprint.

Cite this