Machine Learning against poaching and illegal logging

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. Continue reading Machine Learning against poaching and illegal logging