Upgraded AMBER System Installed at Gardens by the Bay to Enhance Insect Monitoring
- liyuenchiew
- Aug 30
- 2 min read
Insect populations are declining worldwide, yet our understanding remains limited due to scarce long-term monitoring, particularly in tropical regions where biodiversity is high but under threat from land-use change and climate pressures. To address this, the AMBER project (AI-assisted Monitoring of Biodiversity using Edge-processing and Remote Sensors) was developed through a collaboration between the Alan Turing Institute, the UK Centre for Ecology & Hydrology (UKCEH), and abrdn Charitable Foundation, the AMBER (AI-assisted Monitoring of Biodiversity using Edge-processing and Remote Sensors) project made its debut in Singapore on November 24, 2023.
Building on earlier prototypes, the project unveiled an upgraded, smaller, and more portable system, which was recently installed at Gardens by the Bay in Singapore. As part of this launch, the TEE Lab met with staff from UKCEH and Gardens by the Bay, and staff from Aberdeen headquarters in Singapore, and shared both the project’s early findings and the broader biodiversity monitoring work of the TEE Lab. Ms. Ng Juat Ying and Mr. Rodricks Wong from Gardens by the Bay showcased the Gardens’ sustainability initiatives and led a tour of the Kingfisher Trail.
During the meeting, David Roy from UKCEH introduced the AMBER project and demonstrated the advanced AMI technology being used across the globe. Dr. Eleanor Slade, from the TEE Lab at NTU’s Asian School of the Environment, shared the lab’s ongoing efforts to monitor biodiversity in tropical regions. The upgraded AMI system now enables automated insect monitoring, offering researchers more accurate insights into insect diversity and abundance. By producing reliable and standardized data over long time periods, the AMBER project plays a vital role in strengthening conservation strategies as insect populations face increasing pressures from habitat loss, climate change, and pollution.
📖 Learn more about the project here:
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