Integrated Analysis of Machine Learning and Deep Learning in Silkworm Pupae (<i>Bombyx mori</i>) Species and Sex Identification

Integrated Analysis of Machine Learning and Deep Learning in Silkworm Pupae (<i>Bombyx mori</i>) Species and Sex Identification

Hybrid pairing of the corresponding silkworm species is a pivotal link in sericulture, ensuring egg quality and directly influencing silk quantity and quality. Considering the potential of image recognition and the impact of varying pupal postures, this study used machine learning and deep learning...

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Bibliographic Details
Main Authors: Haibo He, Shiping Zhu, Lunfu Shen, Xuening Chang, Yichen Wang, Di Zeng, Benhua Xiong, Fangyin Dai, Tianfu Zhao
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Animals
Subjects:
silkworm pupae
species and sex identification
feature extraction
global modeling
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-2615/13/23/3612

Internet

https://www.mdpi.com/2076-2615/13/23/3612

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