An automated pipeline for supervised classification of petal color from citizen science photographs
Abstract Premise Petal color is an ecologically important trait, and uncovering color variation over a geographic range, particularly in species with large distributions and/or short bloom times, requires extensive fieldwork. We have developed an alternative method that segments images from citizen...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Applications in Plant Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1002/aps3.11505 |