Natural Environment-Analyzing Drones

View More

The 'eDrone' Captures eDNA From Fallen Branches

The 'eDrone' is a scientific piece of equipment being developed to help gain better insights into the surrounding landscape to determine animal populations and more.

The drone works by utilizing a series of sensors and a depth-sending camera to autonomously target the branch on a tree to harvest any genetic material that could be present. The drone has already gone to work in several test flights on a total of seven trees where 21 different eDNA organisms were observed. The drone is now being prepared for a competition where it must detect as many species as possible within a 100-acre region in 24-hours.

The 'eDrone' is being developed by the ETH Zurich research institute, The Swiss Federal Institute for Forest, Snow and Landscape Research WSL, and eDNA company Spygen.
Trend Themes
1. Edna Detection Drones - The development of eDNA detection drones presents an opportunity for researchers to obtain more accurate and efficient data on animal populations and environmental health.
2. Autonomous Scientific Equipment - The use of sensors and depth-sending cameras in autonomous scientific equipment provides opportunities for more precise data collection in various industries.
3. AI-assisted Environmental Research - The integration of artificial intelligence in environmental research can help researchers analyze and interpret large amounts of data faster and more accurately.
Industry Implications
1. Environmental Research - The development of eDNA detection drones and autonomous scientific equipment can improve data collection and analysis in environmental research.
2. Wildlife Conservation - EDNA detection drones offer opportunities for more efficient and non-invasive species identification in wildlife conservation and management.
3. Forestry - The use of eDNA detection drones in forestry management can help assess tree health and predict potential disease outbreaks before they occur.

Related Ideas

Similar Ideas
VIEW FULL ARTICLE