"The only thing that continues to use artificial intelligence on the environment is to grow," said the expert in an interview, explaining that he had many materials for water supply, food production or smart buildings.
Artificial intelligence includes and analyzes unstructured data that are detected by sensors, something that in the environment improves the efficiency of decision making, replacing the accuracy of the machine defective.
At present, IBM has "collected a large amount of data from around the world", such as "changes in the winds, radiation changes, among many others that can be translated and use now in impact issues. "
One of the applications is to predict forest fires using different technological programs "such as installing sensors in the woodland," he said.
"We also rely on the history of the climatic behavior of each region and the identification of heat zones if they change," said this expert with 20 years experience in transforming business processes enabled through innovative technologies such as artificial intelligence
This comprehensive monitoring of forest cover allows simultaneous and decisive recommendations at the same time. For example, noting to the authorities that their country's corners are drier and should be watered.
Far from forests, artificial intelligence is applied to cities, in particular smart buildings.
These, knowing variables such as energy use, geographical location, climate, traffic hours and events that happen around can help reduce the energy used by the building and, therefore, its impact environmental
Agriculture can also be taken advantage of, because of the meteorological data and those that hold the sensors set in the tractors, the farmer has wide advice in making decisions.
This type of information "can give me advice on what type of crop should be treated based on weather forecasts, and also see if there are pests and how they interact, "said the graduate in information technology from Universidad Iberoamericana University.
In this way, the more the information about the pest is, the less risks are taken that the harvest will be spoiled and better solutions can be taken to eradicate.
At food level, control over the production chain helps to avoid food waste.
In terms of water, González said that predicting algorithms have been used for a long time to detect emissions and distribute better water supply.
"We are totally able to identify the flow, what is the amount of water that passes, and so on," he says, adding that, to know in the future that the regions will have water and will not be based on measurements and heat patterns. Meteorological history
Knowing how the rain has beenhave, according to the expert, allows governments to decide better when to carry out water savings awareness campaigns.
In conclusion, he called for understanding artificial intelligence "not as fashion, but as something that has come to stay and improve people's lives".
Every day, this technology opens its way to expand its spectrum to more applications, also in the environmental field. This is despite the difficulty that sometimes means that they are implemented by governments, either due to lack of resources or failures in the organization.