Machine Vision Empowered Intelligent Large-scale Waterfowl Farming: Behavioral and Postural Perception Technologies for Commercial Meat Ducks

Zhao, Shida; Zheng, Xiaoliu; Fan, Fengcui

ISBN 10: 9999332129 / ISBN 13: 9789999332125

Published by Eliva Press, 2025

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Seller Inventory # 408563139

Bibliographic Details

• Title: Machine Vision Empowered Intelligent Large-scale Waterfowl Farming: Behavioral and Postural Perception Technologies for Commercial Meat Ducks
• Publisher: Eliva Press
• Publication Date: 2025
• Language: English
• ISBN 10: 9999332129
• ISBN 13: 9789999332125
• Binding: Soft cover
• Condition: New

About this title

Synopsis

In recent years, the large-scale farming of commercial meat ducks has rapidly transitioned toward automation and digital intelligence. However, challenges such as occlusion, behavior ambiguity, and posture variability under intensive cage-rearing systems have hindered accurate perception and management of animal welfare. Machine Vision Empowered Intelligent Large-scale Waterfowl Farming provides a comprehensive exploration of vision-based intelligent technologies for behavior recognition and posture estimation in commercial meat ducks. By integrating deep learning, image processing, and sensor fusion, this book establishes an end-to-end framework that enables precise monitoring and intelligent decision-making in waterfowl production systems. The book systematically introduces the theoretical foundations of computer vision, the development of duck detection and segmentation algorithms, and the design of multi-keypoint posture estimation models. It also details the construction of real-time monitoring platforms and autonomous inspection robots for modern duck houses. Through innovative research on occlusion compensation, multi-scene adaptability, and fine-grained behavior understanding, the work bridges the gap between algorithmic innovation and engineering application in intelligent poultry farming. This volume serves as a valuable reference for researchers, engineers, and graduate students engaged in animal behavior analysis, precision livestock farming, and agricultural intelligent equipment design. Looking forward, it envisions a future of sustainable and welfare-oriented waterfowl farming, where machine vision and artificial intelligence jointly empower intelligent perception and management.