Computer Vision and Sustainability
Within the field of computer science and AI, there is a subfield where machine learning algorithms are trained to interpret and make decisions about images. This could mean a lot for the field of sustainability.
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Computer vision is a heirarchical (meaning, it can break things down into parts of parts) machine learning algorithm that can identify and extrapolate data from images. Images are how we communicate a lot of data about the state of Earth's ecosystems, so there are plenty of examples on how the subfield could help us in the field of sustainable development.
Here are some examples of the most groundbreaking computer vision and sustainability efforts:
Using satellite imagery to monitor changes and assess the health of forest cover, including pest and disease outbreaks.
Identification of species on trail cam footage to count animal populations and understand long-term trends.
Implement in 'Digital Serious Games' where games powered by computer vision promotes critical thinking and problem-solving skills related to addressing and mitigating environmental challenges. These player will make better-informed decisions on how to address climate change.
