How AI Is Used to Help the Environment

At Xyonix, we use cutting edge AI to rapidly and repeatedly deliver you insights from your environmental data.

It’s time to turn to machine learning and AI to find a solution to the environmental crisis we find ourselves in. From biodiversity loss to increased emissions of fossil fuels, it’s no surprise the world is experiencing some catastrophic changes. At the same time, new and emerging organizations like yours are creating groundbreaking solutions to combat these environmental setbacks.

Eventually, every industry will be impacted by the environmental disasters we hear about in the news. Leverage AI to help your product enable more efficiencies in your quest to improve the world. Now is the time to use AI for Good with Xyonix.

Here are a few examples of how AI can improve environmental outcomes:

pollution Aerial Imagery Analysis

Satellite imagery can be used in AI systems to look for high concentrations of plastic in our oceans. This knowledge allows for an efficient approach to cleaning up larger concentrations of trash.

CARBON CAPTURE AND SEQUESTRATION

AI can be used to predict future emissions of a company and can detect carbon output from factories. It can also optimize technology that separates carbon from other molecules for storage.

 
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Matt Leibel

“We talked to 15-20 different companies. We chose to go with Xyonix because they understood our problem better than other firms. Deep is an expert in his occupation. He knows what he's doing and clearly understands this world. ”

Matt Leibel, CTO @ Xometry [more]

Want to dig deeper? check out some of our articles detailing applications of ai to environmental issues
Using AI To Optimize Mechanical Carbon Capture & Storage Systems
Using AI To Optimize Mechanical Carbon Capture & Storage Systems

Since the first oil well was dug in 1859, we have been extracting carbon from the ground and pumping it into our atmosphere. Similar to the hundreds of thousands of oil wells around the world, what if we had many CCS systems capturing carbon, often in the form of oil, and injecting it back into the ground?

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Using AI to Identify Plastic Pollution and Expedite Ocean Cleanup
Using AI to Identify Plastic Pollution and Expedite Ocean Cleanup

There is strong demand from governments, environmentalists, and citizens alike to keep our oceans clean and preserve the biodiversity and critical services they provide to life on Earth. Many emerging companies and organizations are changing the landscape of ocean conservation by developing innovative AI monitoring techniques and robotic technologies to identify pollution in our oceans and waterways and provide an expedited approach to cleaning it up.

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Improving Carbon Sequestration, Part 2: Organizations Using AI to Monitor Deforestation & Improve Decisions
Improving Carbon Sequestration, Part 2: Organizations Using AI to Monitor Deforestation & Improve Decisions

Illegal logging is an environmental and economic loss for tropical regions like the Amazon. Illegal logging is associated with billions of dollars of lost revenue each year in addition to depressed timber prices, yet effective strategies to curb illegal deforestation are hard to find. Harnessing AI serves as a promising innovation for enhancing the accuracy of forest monitoring, with the potential to be adapted to the Amazon basin and other tropical regions.

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references

“Artificial Intelligence (AI) and Remote Sensing Technology.” Satellite Imaging Corporation, https://www.satimagingcorp.com/applications/artificial-intelligence-ai/.

“Artificial Intelligence Sensor Analysis for UAS ISR.” Unmanned Systems Technology, 26 Mar. 2021, https://www.unmannedsystemstechnology.com/2021/03/artificial-intelligence-sensor-analysis-for-uas-isr/.

“Environment Quotes.” TRVST, 10 Sept. 2021, www.trvst.world/environment/environment-quotes/.

“The Biggest Environmental Problems of 2021.” Earth.Org - Past | Present | Future, 17 Aug. 2021, earth.org/the-biggest-environmental-problems-of-our-lifetime/.

Gibbens, Sarah. “7 Wins That Gave Us Hope for the Environment in 2020.” Environment, National Geographic, 3 May 2021, www.nationalgeographic.com/environment/article/seven-wins-for-the-environment-in-2020.

Lieshout, Colin van. “Automated River Plastic Monitoring Using Deep Learning and Cameras.” The Ocean Cleanup, 5 Oct. 2020, https://theoceancleanup.com/scientific-publications/automated-river-plastic-monitoring-using-deep-learning-and-cameras/.

“The Amazing Ways We Can Use AI for HEALTHY OCEANS.” AIWS, https://aiworldschool.com/research/the-amazing-ways-we-can-use-ai-for-healthy-oceans/.

Gill, Victoria. “Hundreds of SEWAGE Leaks Detected Thanks to AI.” BBC News, BBC, 11 Mar. 2021, https://www.bbc.com/news/science-environment-56351501.

Degot, Charlotte, et al. “Reduce Carbon and Costs with the Power of AI.” BCG Global, BCG Global, 21 Sept. 2021, https://www.bcg.com/publications/2021/ai-to-reduce-carbon-emissions.

Stone, Benjamin D. “Artificial Intelligence and Satellite Technology to Enhance Carbon Tracking Measures.” Lexology, Mintz, 29 July 2020, https://www.lexology.com/library/detail.aspx?g=36e9fdeb-00aa-4948-8bb0-a8967d9ec5b3.

Taylor-Smith, Kerry. “The Future of Carbon Capture and the Fight against Climate Change.” AZoCleantech.com, 14 Oct. 2020, https://www.azocleantech.com/article.aspx?ArticleID=1151.

Toews, Rob. “These Are the Startups Applying Ai to Tackle Climate Change.” Forbes, Forbes Magazine, 20 June 2021, www.forbes.com/sites/robtoews/2021/06/20/these-are-the-startups-applying-ai-to-tackle-climate-change/?sh=22b32bdb7b26.