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RISS 인기검색어
- 검색키워드
- 저자 : ( Shih-torng Dnig ) (검색결과 2 건)
- 무료
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An Imaging System for Monitoring the Feeding Behavior of Dairy Cows
( Cheng-yu Kuan ),( Yu-chi Tsai ),( Chen-yu Cheng ),( Jih-tay Hsu ),( Shih-torng Dnig ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
In sub-tropical countries, dairy cows tend to experience heat stress problems. This phenomenon may lead to declines in feed intake, milk production, and fertility. Under normal conditions, the dairy cows have a regular feeding and drinking time. For this reason, changes in feeding behavior can be a possible indicator to detect heat stress phenomena that can help farm owners monitor dairy cow health. In order to monitor and record the feeding behavior of dairy cows, an imaging system is proposed herein. The imaging system uses Raspberry Pi 3, as the embedded system, and a camera module to acquire images for dairy cow face detection in front of the feeding area to confirm if the dairy cow is eating. The dairy cow faces are detected through cascade-AdaBoost algorithms which can automatically select weak classifiers to form a strong classifier with fast processing speed in an embedded system. The factors affecting the performance of the dairy cow face detection algorithm have been tested and optimized. The system has been tested in a feeding area in National Taiwan University’s dairy farm, which has 25 dairy cows in total. By converting the frequency of dairy cow face detection into feeding time, the feeding behavior of grouped dairy cows can be analyzed. Furthermore, combining the temperature humidity index (THI) and feeding behavior can provide the farm owners with an index to evaluate the level heat stress of dairy cows.
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An Automatic Environmental Monitoring and Cooling System to Reduce Heat Stress in Dairy Cows
( Yu-chi Tsai ),( Chen-yu Cheng ),( Jih-tay Hsu ),( Shih-torng Dnig ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
In tropical and subtropical regions with high temperature and humidity conditions, one of the problems in dairy farm management is the effect of heat stress on animal productivity. Due to this problem, the utilization of an automatic environmental monitoring system for cooling, labor-saving and heat stress reduction is necessary. In this study, an environmental monitoring and automatic cooling system based on an embedded system for dairy farms was designed. The system aims to regulate the environmental condition by means of direct feedback depending on the monitoring of heat stress index (HSI) augmented by dairy cow drinking behavior. The system is composed of two sub-systems: data acquisition and environmental control. The data acquisition module collects images, temperature and humidity data. The cooling system is controlled based on the real-time environmental data, and the historical data are recorded and uploaded to the server for display and analysis. The data are analyzed on the environmental monitoring panel on the farm and on the website, which can be remotely accessed. The control parameters are adjusted using the image results from the dairy cow drinking behavior with a fixed time interval. The results of the conducted experiments show that there is labor saving improvement and an increment in milk production compared to the same period in the previous year when the system was not installed. The automatic environmental monitoring cooling system exhibits high efficiency and can perform real-time control and self-adjustment. The system can be used for fully automated dairy cow system application, as well as dairy cow behavior analysis through both environmental and image information.
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