Deep Learning For Ecological Monitoring: Performance In Novel Habitats And Benefits Of varied Training Data

Deep Learning For Ecological Monitoring: Performance In Novel Habitats And Benefits Of varied Training Data

By PhD candidate Ellen Ditria, Reading Time: 452 words, about 2 minutes. Fish IDing Sample. Photo: Global Wetlands Project. Deep learning has fast become recognised as a powerful data processing tool for ecologists faced with vast amounts of image-based data. The ability of deep learning to accurately detect target species in videos and images unlocks [...]

How can computer vision supercharge fish connectivity research?

How can computer vision supercharge fish connectivity research?

By Sebastian Lopez-Marcano  Read Time: 344 words, about 3 minutes. Studying animal movement is crucial. Animal movement research is conducted to monitor ecosystem health, understand ecological dynamics and address management and conservation questions. In marine environments, there are different methods to measure fish movement. From nets, tags and statistical modelling, the use of different techniques [...]

Data science: The new language of ecologists

Data science: The new language of ecologists

By PhD candidate Sebastian Lopez-Marcano  Read Time: 416 words about 3 minutes. Data creates magic. In ecology, data is necessary to make targeted management decisions. New tools (i.e. deep learning / computer vision) are allowing data to be processed at vast rates which is making data more accessible and useful. However, converting raw data into meaningful insights for ecological research can be challenging.  Data nodes. Photo: Akamai. Through the years, ecologists have become familiar [...]