Your data on MRCVSonline
The nature of the services provided by Vision Media means that we might obtain certain information about you.
Please read our Data Protection and Privacy Policy for details.

In addition, (with your consent) some parts of our website may store a 'cookie' in your browser for the purposes of
functionality or performance monitoring.
Click here to manage your settings.
If you would like to forward this story on to a friend, simply fill in the form below and click send.

Your friend's email:
Your email:
Your name:
 
 
Send Cancel

Algorithm created to reveal pig emotion
(Caption here)
Scientists have developed an algorithm based on pig calls. 

A study from an international team of researchers has designed an algorithm to decode whether an individual pig is experiencing a positive or negative emotion, depending on its grunts.

The researchers, from Denmark, Switzerland, France, Germany, Norway and the Czech Republic, used over 7000 audio recordings of pigs, taken in both commercial and experimental scenarios, to develop the algorithm. 

Positive recordings were captured in situations such as when piglets suckled from their mothers, or when they were united with their family after being separated. Negative recordings were captured in situations including separation, fights between piglets, castration and slaughter. 

Researchers also created a variety of mock scenarios for the pigs, which were designed to evoke nuanced emotions, including an arena with toys or food, and a corresponding arena without stimuli. 

Analysing the recordings taken, the researchers discovered that more high-frequency calls were collected in negative situations, whereas low-frequency calls occurred in situations were the pigs experienced both positive and negative emotions.

It was also discovered that the pigs' vocalisations were far shorter, with minor fluctuations in amplitude in positive situations. 

Associate professor Elodie Briefer, from the University of Copenhagen, explained: "With this study, we demonstrate that animal sounds provide great insight into their emotions. 

“We also prove that an algorithm can be used to decode and understand the emotions of pigs, which is an important step towards improved animal welfare for livestock.

“By training an algorithm to recognize these sounds, we can classify 92% of the calls to the correct emotion.” 

The research team believe that the algorithm created could be useful for monitoring livestock and ensuring pig welfare. 

“We have trained the algorithm to decode pig grunts. Now, we need someone who wants to develop the algorithm into an app that farmers can use to improve the welfare of their animals,” Elodie added. 

Published in Scientific Reports, the study is available to read here. 

Become a member or log in to add this story to your CPD history

Two new roles on BEVA Nurse Committee

News Story 1
 The BEVA has opened two new roles on its Nurse Committee.

There is one role available for a full member (for three years) and one role for a student member (until they qualify).

Members must attend all meetings, occurring four times a year. They will assist the committee in understanding the field, identifying issues and engaging with external parties.

More details can be found here

Click here for more...
News Shorts
BSAVA publishes Guide to Nutrition in Small Animal Practice

The BSAVA has added a small animal nutrition advice booklet to its series of BSAVA guides.

The BSAVA Guide to Nutrition in Small Animal Practice offers a resource for veterinary professionals to provide appropriate nutrition for animals. As well as maintaining the wellbeing of healthy pets, the guide explores how nutritional requirements change in times of illness and disease.

The guide is divided into five sections, which explore the importance of nutritional assessment; diet types; feeding at different life stages; feeding for specific situations; and feeding for specific diseases. Online resources are also in the BSAVA Library including client handouts and videos.

It is designed to be suitable for referencing, in-depth case planning and team training sessions.

The BSAVA Guide to Nutrition in Small Animal Practice can be purchased online from the BSAVA store.