Deep learning‐ and image processing‐based methods for automatic estimation of leaf herbivore damage

Deep learning‐ and image processing‐based methods for automatic estimation of leaf herbivore damage

Abstract Quantifying the intensity of leaf herbivory pressure is crucial for understanding the interaction between plants and herbivores in both applied and basic science. Visual estimates and digital analysis have been commonly used to estimate leaf herbivore damage but are time‐consuming which lim...

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Bibliographic Details
Main Authors: Zihui Wang, Yuan Jiang, Abdoulaye Baniré Diallo, Steven W. Kembel
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Methods in Ecology and Evolution
Subjects:
data collection
deep learning
generative adversarial network
image processing
leaf herbivore damage
Online Access:https://doi.org/10.1111/2041-210X.14293

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