工程技術於智慧禽舍之進展與應用
Other Title
Progress and Application of Engineering Technology in Smart Poultry Houses
Journal
精農生機研究與發展學術研討會專刊
Part Of
農業試驗所特刊第245號
Pages
31-37
ISBN
978-626-7651-10-0
Date Issued
2025-01
Author(s)
蔡燿全
陳昱傑
Yao-Chuan Tsai
Yu-Chieh Chen
Abstract
台灣家禽產業已逐漸從室外飼養轉向室內飼養 ，並引入環境控制 、自動給飼與給水裝置 ，提升飼養效率與產業安全 。然而野鳥傳播疾病風險 、農民頻繁進出禽舍造成的病原傳播 、以及依賴經驗的健康管理方式等問題仍需改善 。透過影像深度學習技術 、雷射驅鳥與重量監測等技術 ，可有效降低禽流感風險 ，並自動監測雞隻健康狀況 ，提升管理效率與減輕農民負擔 。未來家禽產業將朝前瞻 、安全 、幸福和永續方向發展 ，藉由AI 智慧科技實現產業升級與永續發展。
Taiwanese poultry industry has gradually changed from outdoor to indoor farming, incorporating environmental control, automated feeding, and watering systems to improve efficiency and industry safety. However, issues such as disease transmission from wild birds, pathogen spread from farmers frequently entering poultry houses, and health management relying on experience still need improvement. By applying deep learning, laser bird repellence, and weight monitoring technologies, the risk of avian influenza can be effectively reduced, and automated health monitoring for poultry can improve management efficiency and reduce labor burdens. In the future, the poultry industry will aim to develop toward foresight, safety, wellbeing, and sustainability, utilizing AI smart technologies to achieve industry upgrades and sustainable growth.
Event(s)
精農生機研究與發展學術研討會
Proceedings of A Symposium on Research and Development of Smart Agriculture and Biomechatroincs Engineering
Subjects
智慧禽舍
深度學習
影像處理
機電整合
Smart poultry house
deep learning
image processing
Mechatronic integration
Publisher
農業部農業試驗所
Type
conference paper
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