Abstract
Background
Improving the accuracy of bird population estimation is crucial for determining their species concern. In Scotland, several species, including the Eurasian Bittern and the Corn Crake, pose challenges as their choice of habitat and behaviour makes it extremely difficult for researchers to obtain accurate population numbers.
Aims
To identify the targeted species individuals and aid researchers in pinpointing their location.
Method
A low-cost open-source Edge-based passive acoustic monitoring system was designed (PANDI).
Results
The PANDI system design and initial validation are presented in this paper.
Future work
Include increasing classification accuracy and scope and commencement of long-term field-trials.
Improving the accuracy of bird population estimation is crucial for determining their species concern. In Scotland, several species, including the Eurasian Bittern and the Corn Crake, pose challenges as their choice of habitat and behaviour makes it extremely difficult for researchers to obtain accurate population numbers.
Aims
To identify the targeted species individuals and aid researchers in pinpointing their location.
Method
A low-cost open-source Edge-based passive acoustic monitoring system was designed (PANDI).
Results
The PANDI system design and initial validation are presented in this paper.
Future work
Include increasing classification accuracy and scope and commencement of long-term field-trials.
| Original language | English |
|---|---|
| Title of host publication | 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2020 |
| Subtitle of host publication | March 19-20, 2020, FS Meknes, Morocco |
| Publisher | IEEE |
| ISBN (Electronic) | 9781728149790 |
| DOIs | |
| Publication status | Published - 14 May 2021 |
| Event | The 1st International Conference on Innovative Research in Applied Science, Engineering and Technology - Moulay Ismail University, Meknes, Morocco Duration: 19 Mar 2020 → 20 Mar 2020 http://www.fs-umi.ac.ma/IRASET2020/ |
Conference
| Conference | The 1st International Conference on Innovative Research in Applied Science, Engineering and Technology |
|---|---|
| Abbreviated title | IRASET’2020 |
| Country/Territory | Morocco |
| City | Meknes |
| Period | 19/03/20 → 20/03/20 |
| Internet address |
Keywords
- passive acoustic monitoring
- habitat monitoring
- ESP32
- Raspberry Pi Zero
- sensors
- machine learning
- LoRaWAN