With a growing global population and fewer farmers available to care for animals, each farm must maximize output while working with limited resources. Farmers may now do precisely that due to artificial intelligence.
FREMONT, CA: In just a few minutes, a drone can examine an entire field of crops. But what about livestock farming? Animals can travel from one location to another, making it far more challenging to keep track of them. So, how do farmers manage an ever-growing quantity of animals? This is where livestock management comes into the picture. Explore below the role of machine learning in livestock management systems.
Over the next four decades, demand for meat and eggs is predicted to rise by more than 65 percent. This necessitates an increase in the number of animals raised on each farm. However, the number of farmers has been falling in recent years.With a growing global population and fewer farmers available to care for animals, each farm must maximize output while working with limited resources. Farmers may now do precisely that due to artificial intelligence. Consider how computer vision and artificial intelligence have changed livestock management in recent years.
One Irish firm developed a computer vision-powered livestock management system that allows farmers to keep track of their cows. The camera feed is evaluated in real-time, and the results are sent to the farmers' phones. Smart cameras, for example, allow farmers to monitor cow feeding operations and guarantee that the proper amount of feed is supplied as needed.Another AI-powered livestock management system in Iceland takes control of feeding, milking, and cleaning systems from a distance. Cows may pick when they want to be milked and how much they want to consume due to this. Sensors are utilized to track the cows' health, their milk supply, and even the number of vitamins in the milk collected.
One remote monitoring device alerts farmers when anomalous activity is detected in their pig pens. Pigs' physical activity, feeding patterns, and overall aggressiveness are tracked using smart cameras and deep learning algorithms to provide farmers with information about their herd's health.What about chickens? One company's solution allows farmers to sanitize their chicken shelters remotely whenever necessary, reducing the danger of infection or harm among their flock. Another software company offers night-vision monitoring to keep an eye on chicken coops when the sun goes down, decreasing the risk of smothering and clustering.