Camera technology offers new vision for chicken welfare

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AgriFutures Australia and the University of Southern Queensland are seeking technology partners to commercialise novel video analysis software to better detect growth and welfare indicators of poultry flocks and enhance on-farm decision making.

AgriFutures Australia and the University of Southern Queensland are seeking technology partners to commercialise novel video analysis software to better detect growth and welfare indicators of poultry flocks and enhance on-farm decision making.

Poultry farmers spend a great deal of time checking the health and welfare of their chickens. This can mean walking through the flock up to three times a day monitoring for signs of poor health.

Now a Queensland research team has developed a more accurate and efficient system than visual checks, in an Australian first that’s almost as simple as mounting a camera on the poultry shed wall.

Funded by the University of Southern Queensland and AgriFutures Australia’s Chicken Meat Program, mechatronic engineers Dr Cheryl McCarthy and Dr Derek Long have linked continual on-board image analysis, similar to face recognition, with a low-cost camera to provide regular updates on flock movement throughout the day.

The system is an Australian first, and after two years of testing, USQ and AgriFutures Australia are seeking interest from commercial partners to complete an extended range of trials in large commercial sheds and manufacture a shelf-ready product.

“The cameras observe the daily behavioural patterns of the chickens, picking up changes that could be indicative of underlying health issues,” explained Dr McCarthy.

“The algorithms in the camera technology recognise subtle changes in patterns of behaviour and the information is provided to the farmer throughout the day as a brief report.”

Existing camera techniques used for monitoring flocks analyse the number of pixels in the image, rather than analysing individual animals, making it difficult to correlate accurately with bird activity.

The software can recognise and differentiate chickens from the background of the shed or enclosure and converts the pixels to physical distances, which means the technology can also be used for predicting physical sizes and bird weights.

“We’d anticipate a farmer would have a low-cost colour camera in their shed recording video clips and the software algorithms will analyse the images and turn them into data reflecting bird behaviour patterns and provide that to the farmer.”

Each camera can ‘see’ around 1,000 chickens per day and its findings can then be extrapolated across a flock of 40,000 to 50,000.

The technology is a ‘game changer’ for improving welfare, productivity and forecasting for the supply chain, said former AgriFutures Chicken Meat Advisory Panel Chair and grower, Guy Hebblewhite.

“There is currently no system evaluated in Australia for chicken shed monitoring. Practically on farm, this technology will allow growers to monitor flocks around the clock,” he said.

“Growers will also be able to estimate the weight of their chickens throughout the shed and identify if they are on target or not. This information could then be provided to processors to assist in forecasting.”

Dr McCarthy has already considered the type of commercial partners to take the technology to market, and said a big attraction is its potential for use in industries other than poultry.

“A technology provider working in poultry or agriculture with sensing equipment or cameras in their product range could port the developed video analysis software onto their preferred camera hardware and develop a graphical user interface to present video analysis results to the farmer,” she said.

“This has been tested on broiler chickens but the image analysis software could be re-parameterised or re-trained for layer flocks, to account for differences in the physical nature of layer vs broiler strains.

“A commercial partner with interests in livestock could use the same hardware and adapt the algorithms to detect attributes like beef cattle weights and condition scores. A lot more processing ability and detailed information can be extracted from the same type of camera hardware, it would just need to be validated in additional trials.”

In the push for a competitive advantage in animal welfare, fast food chain McDonald’s is actively researching camera technologies in the US and Europe to monitor broiler flocks, using different approaches to the USQ technology.

Dr McCarthy expects the product would find a ready market in Australia and overseas.

“Farmers usually have to wait until the end of the flock at processing to get information on flock health performance but the camera allows interventions in real time. It will pick up if the motion in the last hour is different to what it has been and denotes when something has changed,” she explained.

“Monitoring of bird behaviour will also supplement existing environmental control systems that maintain temperature and humidity to ensure control systems are providing a representative indication of temperatures across the shed. Camera analysis would allow immediate intervention by the farmer.”

She’s optimistic that with commercial research and development, the camera technology will become a fixture in poultry sheds everywhere.

“In five years’ time I’d like to think there’ll be cameras installed in commercial sheds that are doing this continuous monitoring and reporting to the farmers in conjunction with the weight monitoring and maybe feed conversion ratio, as well as the inspections being done by vets.”

This article was first published on growag.com.au

To learn more about this commercial opportunity on growAG.com

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