A group of scientists, including Nicola Rigoli, a researcher at the Genoa Machine Learning Center at the University of Genoa (Italy), used machine learning methods to find out which odor detection strategy is most suitable for animals. Computer models have shown that animals must switch between sniffing the air and the surface of the earth to quickly detect odor.
When the animal is quite far from the desired scent, but on the windless side, it will stop and stand on its hind legs to catch the scent in the air. But the closer it gets to the source of the smell, the more often it smells the place.
According to study co-author Gautam Reddy, there is generally less odor in the air and more difficult to track than odors on the earth’s surface. However, odors can spread faster and more in the air.aboutlonger distances.
The same strategies are used by crabs and oysters. They deliberately move bodies to different heights and in this way follow food.
At the same time, the study’s authors warned that the model described in the scientific study is a simplified version of what happens in real life. The thing is, this model does not take into account all the factors that can affect the behavior of animals.
Source: Ferra
