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Researchers Create Rapid Test for Deadly Infections in Livestock, Starting with Pigs

Researchers Create Rapid Test for Deadly Infections in Livestock, Starting with Pigs

Researchers at McMaster University have developed a new form of rapid test to detect infections in farm animals, responding to the rising threat of dangerous outbreaks.

The prototype has been proven effective in detecting a devastating diarrheal infection in pigs first identified in Canada in 2014, and can be adapted to test for other pathogens, and in other animals.

The test, created by biochemist Yingfu Li and engineer Leyla Soleymani and their colleagues, uses a small sample of saliva to detect the chemical markers of infection.

It employs technology similar to a form of test the same research team recently created to detect COVID and other infections in humans. The human test is now moving toward the marketplace with public research funding and corporate support.

The animal test, once it becomes widely available, is expected to be a  for identifying and isolating outbreaks in farm settings, and for limiting the possibility of animal-to-human transmission of infections, which is believed to be the origin of the COVID-19 pandemic.

Disease outbreaks often require entire herds to be euthanized, with sometimes severe economic and environmental consequences. Canada is a leading producer of pork, with 14 million hogs on 7,600 farms.

"There is a really a clear need for this technology," Li said. "There are many reasons why everyone—even people who don't eat pork—should care about animal-infection surveillance."

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What If Everything You Knew About Feed Inventory Was Wrong?

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AI, Agriculture & the Future of Smart Farming with BinSentry CEO Ben Allen. Every day, livestock producers make thousands of dollars' worth of decisions based on one simple question: How much feed is actually left in the bin? For decades, the answer has often been an estimate.

In this episode of AgTech with Andrew, I sit down with Ben Allen, CEO of BinSentry, to explore how artificial intelligence, machine vision and real-time data are transforming one of agriculture's most overlooked challenges—feed and grain inventory management.
We discuss why some of the biggest inefficiencies in livestock production aren't happening in the barn, but throughout the feed supply chain. Ben shares insights from his career leading agricultural technology companies, explains why AI must solve real business problems to earn producer trust, and offers his vision for the connected farm of the future.

In this interview, you'll discover:
Why feed inventory has remained one of agriculture's biggest blind spots
How AI is reducing costly feed outages, waste and unnecessary deliveries
The hidden safety risks of traditional bin inspections
What separates successful ag technologies from those that never gain adoption
How connected farms are changing decision-making for producers, feed mills and integrators
Why real-time inventory may become as important as precision planting and autonomous equipment

Whether you're a livestock producer, grain farmer, feed manufacturer, ag retailer, nutritionist or simply passionate about the future of agriculture, this conversation offers valuable insights into where the industry is headed.