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Farming can be hard and risky, but technology has the potential to change that. With the help of data generated by devices such as wearable livestock sensors, drones and video cameras, farms can become more efficient and productive, said Dr. Clara Rial ’23, postdoctoral researcher. 

Rial, who grew up in Argentina, came to Cornell first as an intern, then became a PhD student in the lab of Dr. Julio Giordano, professor of animal science. After graduation, she returned as a postdoctoral associate to work with Giordano on two livestock-related projects connected to the Cornell Agricultural Systems Testbed and Demonstration Site (CAST) for the Farm of the Future. 

CAST seeks to create an ecosystem of networked technologies and techniques to meet the needs of 21st century farms. This includes developing and testing technology for animal management—for example, wearable sensors that monitor a cow’s health or video-software systems that watch and analyze cows for signs of lameness. 

Rial’s main project focuses on developing a virtual fence system for low- and middle-income countries. The core of the system is a small ear tag with a geolocation mechanism, behavioral sensors and a stimulus mechanism to control the location of animals within a virtually defined perimeter. The virtual fence team is headed by Mario Herrero, Nancy and Peter Meinig Family Investigator in the Life Sciences, Global Development, and works in partnership with the Bezos Earth Fund. 

Rial is collaborating with PhD student Hannah James ’27, mechanical engineering, to design the ear tag. “The size is the most challenging thing about this,” Rial said. “We know that virtual fences work, but everything we know is based on collars. No one has made a virtual fence as small as an ear tag. We want to create something low cost, so that people who cannot afford a collar can still afford an ear tag.” 

“We know that virtual fences work, but everything we know is based on collars. No one has made a virtual fence as small as an ear tag."

The ear tag must have a certain shape and weight that is comfortable for the cow. “But then you have to fit all the electronics in there,” Rial said. “We have this struggle between what the cow can handle and what we can do with the electronics we have.”

Rial tests the device on cows, exploring whether it is sturdy enough to stand up to real-life on-farm situations and whether it is light enough to be comfortable for the cow. One of her main responsibilities is to work out what type of stimulus will cause the cows to stay away from restricted areas. In addition, the team also plans to incorporate an accelerometer, which will use a cow’s movements to predict her health and reproduction status.

The virtual fence could be a game changer in parts of the world where fencing is either too expensive for the average farmer or impossible to put up because of the landscape, Rial said. It also has the potential to make a difference in places like Africa, for instance, where wildlife need to move freely on migratory routes, yet livestock need to be controlled.

“One of the challenges for me is to think about this device being used in different environments,” said Rial. “My family has a dairy farm in Argentina, so I know about that environment. But to develop something that is going to be useful in another part of the world, you need to have some idea how people there work and live. Every time I come up with an idea, I think, ‘Yes, it could be good for the system I know, but how will it be for a farmer in a completely different area?’”

Rial also works on another CAST project called the ReproPhone. This device is one she is intimately familiar with from her doctoral research. Now she is continuing to contribute to its development by collaborating with the lead engineer on the project, PhD student Thea Nikolaou ’28, biomedical engineering.

The ReproPhone aims to use a simple, on-farm blood test to determine whether a cow is pregnant or, if not, the status of her reproductive cycle. Knowing a cow’s reproductive status is important especially for dairy cows because they need to be re-inseminated on a timely basis to keep the dairy on track. “Cows are more productive during early lactation, around the time they reach their peak of milk production,” Rial explained. “And reproductive management of dairy cows is crucial in order to have a good portion of your cows in that time of their life.”

Right now, most dairy farmers rely on palpations or ultrasounds to determine pregnancy. That requires on-farm visits by a veterinarian or highly trained technician, and it is expensive. Another option is to have a pregnancy test, but that requires sending a blood sample to a lab and waiting for the results.

"Having the test results immediately means you can give the cow the hormonal treatments to stimulate her cycle right then,” Rial said. “You don’t have to release her and then catch her again a couple days later to do another procedure. It’s easier on the cow and on the farmer.”

Rial initially came to study at Cornell because of her belief in the importance of technology, especially livestock sensors. “Sensors have a huge potential that we still have not completely explored,” she said. “We need to keep working to take advantage of all the data they generate. I want to get my hands in there and work on them to improve the lives of farmers today.”

Jackie Swift is the communications specialist for the Cornell CALS Department of Animal Science and CAST communications manager.

 

 

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