Research into Heat Stress Behavior Recognition and Evaluation Index for Yellow-Feathered Broilers, Based on Improved Cascade Region-Based Convolutional Neural Network
-
Published:2023-05-24
Issue:6
Volume:13
Page:1114
-
ISSN:2077-0472
-
Container-title:Agriculture
-
language:en
-
Short-container-title:Agriculture
Author:
Bai Yungang1,
Zhang Jie1,
Chen Yang2,
Yao Heyang1,
Xin Chengrui1,
Wang Sunyuan2,
Yu Jiaqi2,
Chen Cairong1,
Xiao Maohua1ORCID,
Zou Xiuguo2ORCID
Affiliation:
1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
2. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
Abstract
The heat stress response of broilers will adversely affect the large-scale and welfare of the breeding of broilers. In order to detect the heat stress state of broilers in time, make reasonable adjustments, and reduce losses, this paper proposed an improved Cascade R-CNN (Region-based Convolutional Neural Networks) model based on visual technology to identify the behavior of yellow-feathered broilers. The improvement of the model solved the problem of the behavior recognition not being accurate enough when broilers were gathered. The influence of different iterations on the model recognition effect was compared, and the optimal model was selected. The final average accuracy reached 88.4%. The behavioral image data with temperature and humidity data were combined, and the heat stress evaluation model was optimized using the PLSR (partial least squares regression) method. The behavior recognition results and optimization equations were verified, and the test accuracy reached 85.8%. This proves the feasibility of the heat stress evaluation optimization equation, which can be used for reasonably regulating the broiler chamber.
Funder
Jiangsu Agriculture Science and Technology Innovation Fund of China
Program for International S&T Cooperation Projects of Jiangsu, China
Subject
Plant Science,Agronomy and Crop Science,Food Science
Reference38 articles.
1. Behavior recognition method for individual laying hen based on computer vision;Lao;Trans. Chin. Soc. Agric. Eng.,2012
2. LED illuminant improving broilers house environment and growth performance;Shi;Trans. Chin. Soc. Agric. Eng.,2017
3. Research status and existing problems in establishing cow heat stress indices;Yan;Trans. Chin. Soc. Agric. Eng.,2019
4. Effect of acute heat stress on cognitive performance of chickens in a feed-related discriminant task;Iyasere;J. Therm. Biol.,2021
5. Influence of temperature and humidity on layer’s productivity and hot stress index;Min;J. Nanjing Inst. Meteorol.,1994