“Climate change is the greatest threat to our existence in our short history on this planet. Nobody’s going to buy their way out of its effects.” – Mark Ruffalo.
From air and water pollution to water shortages, wildfires, food waste, and plastic pollution, we are slowly signing a death sentence for our survival on Earth. While we are crawling towards an ecological crisis, not all is doom and gloom.
With proper planning and reform, we can still nip it in the bud. AI is in the spotlight right now, and we can make good use of it, rather than worrying about Skynet taking over humans.
So, let’s take a look at how AI can be used to make green technology for our betterment.
Monitoring and Conserving the Environment
Artificial Intelligence can be a great tool for environmental sustainability because it allows specialists to collect and analyze a large volume of data which offers a more effective and efficient approach to understanding and fixing challenges in the environment.
As cities grow, there is a huge concern about climate change. AI algorithms can be used to analyze images captured from a satellite to monitor the changes on land, such as urban expansion and deforestation.
This can help organizations track the changes in an ecosystem and start an effort for carbon footprint reduction.
AI in climate change mitigation can also be great for protecting wildlife as sensors and cameras powered by AI can be used to monitor wildlife in their natural habitat to detect changes in behavior as well as poaching, which can alert the authorities instantly.
Machine Learning can be used to create climate models by processing big data and creating simulations of weather conditions, which can help create more accurate forecasts. Predictive analytics can also aid in disaster preparation and resource allocation.
Not just that, AI can also be used to analyze historical data to predict disasters like earthquakes, floods, and hurricanes.
Making Energy Efficient and Renewable
Concerns have been growing with climate change, and now, the need for energy efficiency is more than ever.
The race for clean technology starts with creating optimized energy systems that can use AI to optimize electricity distribution dynamically. Machine learning can be used to create forecasts of energy demands, which allows you to adapt the output accordingly. This helps reduce energy waste significantly.
The use of renewable energy isn’t just better for this rock we call home but is also more cost-efficient. AI-powered solutions allow you to minimize energy usage in industrial applications. Robots can be used to automate tasks and machine vision can be used to perform quality checks and identify defective products earlier in production.
AI can also be used to power smart grids which is a network that can integrate energy distribution with digital communication for a better flow of data and electricity.
Keeping the previous heading in mind, AI can also play a huge role in creating a sustainable renewable energy source. AI can be used to create more accurate forecasts of wind and solar which can be used to gauge how much green energy can be produced.
Revolutionizing Urban Planning and Transportation
Sustainable urban planning is extremely important, especially with all the rapid development and expansion happening all over the U.S.
The use of AI can help with resource optimization, especially by reducing fuel consumption, optimizing routes, and enhancing the performance of self-driving cards. This will lead to an overall reduction in the emission of greenhouse gasses and better air quality.
Imagine the concept of AI-powered traffic signals that can adjust to changes in traffic conditions in real-time. Sounds Awesome, right?
Not only that, AI can also be used to bring sustainable innovation to housing infrastructure. We are already seeing a push for Internet of Things (IoT) devices in homes, especially by internet providers like Xfinity, which the customers can get just by calling the Xfinity customer service number and integrating them professionally with their internet service.
The use of IoT devices allows you to program the equipment in your home to make sure the energy is being used efficiently. In case someone forgets to turn off a light or device, the use of smart IoT systems can ensure that they are turned off automatically.
The same concept can also be applied to reduce water wastage. In smart cities, we can use AI in waste management. Smart sensors can be used to manage where the waste is collected. AI in conjunction with IoT can use fill-level sensors and only send out collection trucks once the waste level reaches a specific threshold.
Sustainable Food Production and Agriculture
Agriculture is a huge part of the U.S. economy. And it isn’t just crop farming. There are a lot of aspects of agriculture, like livestock, dairy, fruits, vegetables, and aquaculture farming.
AI can be used to create smart agriculture systems that can not only improve the quality but also the quantity of the produce, all while reducing costs and its impact on the planet.
Precision farming techniques powered by AI can be used to transform agriculture by improving resource allocation as well as reducing the impact on the environment. By doing data analysis from sensors, satellites, and drones, AI can be used to get insights into factors like soil conditions, resource distribution as well as crop health.
Farmers can use AI in water conservation as well as get suggestions to improve yields, use fertilizers, and reduce reliance on dangerous chemicals.
Systems can analyze data to find any diseases in crops or livestock as well as identify patterns in weather. In short, AI can be used to improve the quality of agriculture all while reducing the footprint of farming on the environment.
4 Examples of Using AI in Sustainable Tech Solutions
Now that we have discussed some of the ways to use AI for sustainable development goals (SDGs), let’s take a look at some of how AI is being used to help make companies more sustainable.
Google Uses AI to Reduce Energy Consumption
Google uses a ton of data centers for its operations. This includes a whopping 5.9 million searches per minute!
Data centers all over the world use a huge amount of power. Now, if this power isn’t managed efficiently, this can be a death sentence for Mother Earth.
Since 2020, Google has made considerable efforts to reduce the electricity consumption in their data centers when their local power grids are at higher stress. They use a combination of Artificial Intelligence and Machine Learning to reschedule non-urgent tasks or move them to be processed at another location.
This is done so efficiently and seamlessly that you won’t even know a thing when any of this happens.
WINT Uses AI to Manage Water Leakage
On average, a family can waste around 180 gallons of water every week. That water can be used to wash around a year’s worth of laundry!
With AI, governments and companies can identify anomalies and problems in water usage data. Real-time monitoring can be done to identify the sources of wastage alert to any water leaks and even shut off water when needed.
WINT does this brilliantly with a unit that can integrate into existing pipes in the house. Using AI, it can learn the normal flow of water detect when something goes wrong, and even shut off parts before more damage is done.
Winnow Solutions Uses AI to Reduce Food Wastage
Did you know? A shocking 92 Billion pounds of food goes to waste each year in America. Sadly, that could have fed around 145 billion empty stomachs.
Thankfully, AI is now being utilized as an innovative solution that can be used to reduce waste in the supply chain. One of the key advantages of this is its ability to monitor food in real-time. This can allow businesses to recognize the issues as soon as they arise which can help prevent wastage.
Winnow Solutions is a great example of a startup that’s helping restaurants track and reduce the wastage of food. Their smart bins can weigh and recognize discarded items and use AI to provide insights in real time to the managers and chefs which helps them make an informed decision about planning their menu and food portions.
Oceana, Skytruth, and Google Use ML to Reduce Over-Fishing
Illegal, Unreported, and Unregulated (IUU) fishing costs billions of dollars each year. Reports suggest that every 1 out of 5 marine fish are caught due to IUU fishing.
To combat this, Oceana, SkyTruth, and Google joined hands to create Global Fishing Watch to help increase awareness and transparency around overfishing. This is done using a combination of satellite data and AI. The project uses machine learning to train the AI to identify any suspicious activity at sea. The suspicious areas are then highlighted on a map.
Now, governments are also starting to partner with Global Fishing Watch. Indonesia’s government made their vessel monitoring system’s data public and Peru promised to do the same. This is extremely significant since these two are the biggest fishing nations on Earth.
There is a lot of data that supports the use of eco-friendly AI applications for a sustainable environment. The future of AI for sustainability is extremely bright. As artificial intelligence continues developing, we are bound to see more powerful and versatile tools for advanced sustainability.
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