Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis

Integration of YOLOv9 Segmentation and Monocular Depth Estimation in Thermal Imaging for Prediction of Estrus in Sows Based on Pixel Intensity Analysis

Many researchers focus on improving reproductive health in sows and ensuring successful breeding by accurately identifying the optimal time of ovulation through estrus detection. One promising non-contact technique involves using computer vision to analyze temperature variations in thermal images of...

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Bibliographic Details
Main Authors: Iyad Almadani, Aaron L. Robinson, Mohammed Abuhussein
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Digital
Subjects:
sow
estrus detection
image segmentation
thermal imaging
deep learning
YOLOv9
Online Access:https://www.mdpi.com/2673-6470/5/2/22
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