PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images
Abstract Plant phenology plays a fundamental role in shaping ecosystems, and global change‐induced shifts in phenology have cascading impacts on species interactions and ecosystem structure and function. Detailed, high‐quality observations of when plants undergo seasonal transitions such as leaf‐out...
Saved in:
| Main Authors: | Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-08-01
|
| Series: | Methods in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.70081 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The digital anastylosis and the semantic segmentation: the case of the Magna Graecia masks in the Mediterranean area
by: Andrea Marraffa, et al.
Published: (2021-06-01) -
Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence
by: Amrish Thakur, et al.
Published: (2024-12-01) -
Le logiciel AVAA Toolkit : de nouvelles possibilités pour les données audiovisuelles annotées
by: Clotilde George, et al.
Published: (2025-06-01) -
Étudier des structures de discours : préoccupations pratiques et méthodologiques
by: Marie-Paule Jacques, et al.
Published: (2010-10-01) -
A convolutional autoencoder framework for ECG signal analysis
by: Ugo Lomoio, et al.
Published: (2025-01-01)