DeepWings©: Automatic Wing Geometric Morphometrics Classification of Honey Bee (<i>Apis mellifera</i>) Subspecies Using Deep Learning for Detecting Landmarks

DeepWings©: Automatic Wing Geometric Morphometrics Classification of Honey Bee (<i>Apis mellifera</i>) Subspecies Using Deep Learning for Detecting Landmarks

Honey bee classification by wing geometric morphometrics entails the first step of manual annotation of 19 landmarks in the forewing vein junctions. This is a time-consuming and error-prone endeavor, with implications for classification accuracy. Herein, we developed a software called DeepWings© tha...

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Bibliographic Details
Main Authors: Pedro João Rodrigues, Walter Gomes, Maria Alice Pinto
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Big Data and Cognitive Computing
Subjects:
wing landmarks
deep learning
wing geometric morphometrics
honey bee classification
software
Online Access:https://www.mdpi.com/2504-2289/6/3/70

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