Artificial Intelligence (AI) a drastic change that is bringing in fields of technology. And in the technology fields to automate the system AI implemented for more performance and efficiency.  We are using AI from our simple mobile phones to disease diagnosing in many fields, providing an accurate technique and high-performance work with efficiency.

There are multiple fields in which we can see the presence of artificial intelligence. Now AI puts their focus on insects life. Scientists are combining advanced computer technology and artificial intelligence with biology to know-how with supernatural speed insects can identify. So with this advancement meant new possibilities open up for describing those species that are unknown. And this provides a way to tracking insect’s life across time and space. So this will may be the best approach to AI. Because through it we can find new unknown species.

What about insects?

In the animal group, the most diverse types of species are insects. And in all these types of insects, only a few frictions are found and described. And many species that are describing and many more that remain unfound. Many types of insects are those we are not familiar with as scientists are continuously trying to find them. But now, through artificial intelligence, it will make it easier.

However, the diverse diversity among these insects means that these insects have very different life roles and histories in the ecosystem.

For example, in Greenland a hoverfly that a very different life lives than in the Brazilian rainforest live mantid. But between these two groups exist numerous species that are each with their ecological roles and special characteristics.

So if we want to examine each species’ biology and other species, its interaction is important to catch these specifies, identify its types, and a lot of insects count. We can say that it all process is time-consuming because it is not easy to catch and identify all species in a short period. But it is a large degree process that ability constrained scientists to insights gained into how insects’ lives shape external factors. The external factors affected insects’ lives so much, and most species adapt their lives according to these external factors.

What is the role of artificial intelligence in this process?

We know that this process of finding insects life time-consuming so how artificial intelligence will help in this process. However, a new study has published and referenced by Dissertation Writing UK in their research assignment that advanced computer technology and artificial intelligence efficiently and quickly can identify insects and count them. All scientists that are researching insects’ lives and trying to exact their lives and want to understand important changes within animal groups through time. Then this approach is a huge step forward for them.

Deep Learning

With the advanced technology of cameras at our field site now, we can take millions of photos or collect. And at the same to our computers, we can teach to tell us about different apart species. So the computer can identify quickly in the images the different species and count how many types of each species are found. So this process is a game-changer if we capered it with the traditional process.  A person with an in-field binocular or in the lab in front of the microscope identifies manually and counts these species. That is a traditionally time-consuming process. Except for this process with computers, we can save our time and result can get with accuracy.

This study provides an international team that has statistics, biologists, electrical, mechanical and software engineers.

These methods and artificial intelligence and deep learning are trying to be used for research in many other areas such as in driverless car development. that is not wondering news because already these are using in many felids. But now demonstrated to many researchers how this technology could become the best alternative to the laborious tasks of observing insects manually in an environment where they naturally live and the other tasks like identifying and sorting samples of insects.

So what role is playing deep learning in this process that is a thinking thing? The deep learning we can use in the haystack to find a needle. Through this, we can find a rare specimen that is undescribed that is present in these specimens that are common species and widespread. So in the future, through the computer will be done all these trivial work and on most demanding tasks we can focus. The tasks such as new species describing which now was to the computer unknown and interpreted the new results’ wealth.

Although there are many tasks, and when it comes to invertebrates and insect research, it is called entomology. And the lack of one thing is good databases to unknown species compare with unknown species that already described. But a lot of researchers are those that concentrate on the already well-known species like mammals and birds. So recherche expect that with deep learning, they will be able to find advanced knowledge about insects’ lives rapidly.

There is necessary a long time series

If we want to understand that with time how to change the insect’s population, in the same way, and the same place needs to be made observations over a long time. So for these observations, a long time data series is necessary. Based on this data, we will find more accurate results.

Some species are rarer and more become numerous. Understanding and finding out this mechanism that exactly caused these changes in the insect’s life is not simple. It is critical if we made observations year after year.

But the easy method is that in the same location mount cameras and the same local area take pictures. For example, a picture can take a camera for each minute. In this way, we will find a lot of different data. And after some year this data will still provide the exact information that we want to know like in warmer climates how to respond to insects or caused changes by land management.  However, an important tool is to become this data to ensure protection and human use of a proper balance of natural resources.

Before these new methods widely can become available still ahead of some challenges there. But from other research disciplines number of results can found which for entomology to help these challenges solve. Moreover, with this approach, scientists or researchers can find the insect’s life and introduce more new species that are still unknown.