At the IUCN's World Conservation Congress I ran into two applications of machine learning (ML) to guard protected areas against direct detrimental human activity. Both stories are success stories but also both applications are in their early phases. In this post, I will compare the two and ask a couple of common sense questions that may be of interest for the long-term viability of the approaches.
This started as a post about particular applications of machine learning (or ML) in protected area management, but while writing the 'one paragraph' introduction into machine learning, it became two paragraphs and then some more. Then it became a post in itself. Obviously, you will find other introductions if you search for them. I suggest... Continue Reading →