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"The only thing left to do to use artificial intelligence on the environment, is to grow," said the expert in an interview, explaining that "the only thing left to do to use artificial intelligence on the environment, is to grow," said the expert in an interview, explaining that she had many uses for water supply, food production or smart buildings.
The artificial intelligence includes and badyzes unstructured data that is captured by sensors, which in the environment helps to improve the efficiency of decision-making by replacing the Human indecision by the precision of the machine.
IBM has "collected a large amount of data from around the world", such as "wind changes, radiation modifications, among many others that can now be translated and used in the problems of the world. ;impact".
The applications are forest fire prediction through the use of different technological programs "such as the installation of sensors on forest trees," he said.
"We also rely on the history of climatic behavior in each region and detect areas of heat if they change," said this strong specialist 20 years of experience in transforming business processes made possible through innovation technologies such as artificial intelligence.
This comprehensive monitoring of forest cover makes it possible to formulate simple and decisive recommendations simultaneously. For example, he tells the authorities which parts of his country are drier and need to be irrigated
Far from the forests, artificial intelligence applies to cities, and more particularly to smart buildings.
such as energy consumption, geographic location, climate, traffic times and events that occur around it can help reduce the energy consumption of the building and hence its impact. on the environment.
Agriculture can also benefit, since weather data and those that capture sensors placed on tractors, the farmer has many tips in his decision-making.
This type of information "may give me some advice as to what type the crop should be based on weather forecasts, but also on the possible presence of pests and their interactions," said the technology graduate of the company. information from the Ibero-American University
Thus, the more we know about the parasite, the less we risk spoiling the harvest and the better we can eradicate it with better solutions.
the increased control of the production chain helps to avoid food waste.
Regarding water, González said that prediction algorithms have been used for a long time to detect leaks and better distribute the water supply.
"We are perfectly able to identify the flow, what is the volume of water pbading, etc.," he said, adding that, in order to know in the future regions that will have water and those that will not, they are based on heat measurements and historical weather conditions.
Knowing how rain has behaved allows governments to better decide when to conduct awareness campaigns on water saving [1]. 9659003] In conclusion, he called for the understanding of artificial intelligence "not as a fad, but as a way to stay and improve the lives of people".
Every day, this technology makes its way broadening its spectrum to more applications, also in the field of the environment. This is despite the difficulty that this sometimes implies for its execution by the governments, either for lack of resources, or for failures of the organization.
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