The first Asian Conference on Precision Livestock Farming (PLF-Asia) will be held from the 9th to 11th of September, 2016 in Beijing, China. Precision Livestock Farming (PLF) aims to achieve smart animal farming by using real-time sensing, data analysis, information technology, and decision-making to improve animal health, welfare and production efficiency. PLF supplements the skills of farmers, veterinarians and inspectors by continuous and automated collection and analysis of livestock information. As such it plays a crucial role in providing early detection or warning of diseases as well as objectively assesses animal welfare in modern livestock production. The first PLF-Asia will bring together worldwide experts in PLF, provide opportunities to researchers and professionals to build connections and share insight into the most recent research findings and industrial needs in PLF at global level.
The following topics are of particular interest to the symposium. The topics apply to all animal species (aquaculture, cattle, equine, goat, poultry, sheep, and swine) at all production stages (i.e., from incubator to growth/production, to abattoir).
Automated identification and monitoring/tracking of individual animals in group housing, such as feeding behavior, locomotion, aggression, mortality
Computational algorithms or techniques used to process big data on behavioral and physiological responses
Low-cost sensors and sensing techniques for automatic quantification of individual animal behaviors, physiological variables, and health/well-being status
Novel methods to automatically detect/monitor/improve critical moments of the production cycles, such as hatching, farrowing, accidental crushing of piglets by sow
On-farm demonstration of PLF or electronic stockmanship applications
Quantification of individual animal variations in behavioral, physiological, and/or performance responses to environmental stimuli
Real-time modeling of animal responses and decision-making based on behavioral and physiological sensing of the animals
09月09日
2016
09月11日
2016
注册截止日期
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