YOLOPoul: Performance evaluation of a novel YOLO object detectors benchmark for multi-class manure identification to warn about poultry digestive diseases

Digestive diseases are common in poultry and significantly affect their health and productivity. Image processing techniques have gained attention for detecting early signs of disease by analyzing abnormal poultry manure. However, building a reliable system for identifying and locating abnormal manu...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenxiang Qin, Xiao Yang, Yang Wang, Yongxiang Wei, Yan Zhou, Weichao Zheng
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525003776
Tags: Add Tag
No Tags, Be the first to tag this record!