Researchers at Lethbridge Polytechnic's Wildlife Analytics Lab have secured funding to apply artificial intelligence in aging wildlife specimens, a process that traditionally requires extensive manual analysis. The funding will support the development of AI models that can quickly and accurately determine the age of animals from physical samples, such as teeth or bones, aiding in population studies and conservation planning.
Project Goals and Impact
The project aims to reduce the time and cost associated with aging wildlife, enabling researchers to process larger datasets and gain insights into population dynamics, health, and reproductive rates. This technology could be particularly valuable for managing species at risk and understanding the impacts of environmental changes.
Collaborative Efforts
The initiative involves collaboration with provincial and federal wildlife agencies, as well as Indigenous communities, to ensure the technology meets practical conservation needs. The funding comes from a mix of government grants and private donations, highlighting the growing interest in applying AI to environmental challenges.
Lab director Dr. Sarah Mitchell expressed enthusiasm: "This funding allows us to push the boundaries of what's possible in wildlife research. AI can help us make faster, more informed decisions about species management." The project is expected to produce its first results within 18 months.
