AMMonitor: Remote wildlife monitoring for adaptive management
Summary
The AMMonitor community is a collaboration of remote wildlife monitoring projects whose media data (audio, photos, and video and their metadata) comprise a repository for use in (1) ongoing adaptive management and research of wildlife, and (2) the development of new predictive models, via machine learning, for the automated identification of target species from media. Each collaborating project uses the AMMonitor R package and database structure for pooling data under a unifying framework that meets high quality standards for rich metadata. Each project exists as a child-item of this ScienceBase community, containing metadata about the project itself. These project items contain media folders as children, which store media items (ScienceBase [...]
Summary
The AMMonitor community is a collaboration of remote wildlife monitoring projects whose media data (audio, photos, and video and their metadata) comprise a repository for use in (1) ongoing adaptive management and research of wildlife, and (2) the development of new predictive models, via machine learning, for the automated identification of target species from media.
Each collaborating project uses the AMMonitor R package and database structure for pooling data under a unifying framework that meets high quality standards for rich metadata. Each project exists as a child-item of this ScienceBase community, containing metadata about the project itself. These project items contain media folders as children, which store media items (ScienceBase items containing media attachments and metadata). The AMMonitor package can be used to interact with these media in ScienceBase, performing tasks such as adding annotations to media, summarizing results, or syncing to a local AMMonitor database for ongoing projects.
