- Audiomoth
- Song Meter
- ARUPI
- BELA BeagleBone-based system (YouTube)
- BirdNET-Pi
- BirdNET from Cornell University, USA
- Merlin also from Cornell University, USA
- eBird - also from Cornell University, USA, for tracking bird observations, not for identifying
- iNaturalist- mainly for tracking bird observations, can identify bird from photos
- Warblr from Queen Mary University of London
- Shonfield, Julia, and Erin Bayne. "Autonomous recording units in avian ecological research: current use and future applications." Avian Conservation and Ecology 12.1 (2017). (HTML)
- Sethi, Sarab S., et al. "SAFE Acoustics: An open‐source, real‐time eco‐acoustic monitoring network in the tropical rainforests of Borneo." Methods in Ecology and Evolution 11.10 (2020): 1182-1185. (HTML)
- Sethi, Sarab S., et al. "Robust, real‐time and autonomous monitoring of ecosystems with an open, low‐cost, networked device." Methods in Ecology and Evolution 9.12 (2018): 2383-2387.(HTML)
- Hill, Andrew P., et al. "AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment." Methods in Ecology and Evolution 9.5 (2018): 1199-1211. (HTML)
- Hill, Andrew P., et al. "AudioMoth: A low-cost acoustic device for monitoring biodiversity and the environment." HardwareX 6 (2019): e00073. (HTML)
- Karlsson, Eva Catharina M., et al. "The Kinabalu Recorder, a new passive acoustic and environmental monitoring recorder." Methods in Ecology and Evolution 12.11 (2021): 2109-2116. (HTML)
- Solomes, Alexandru-Marius, and Dan Stowell. "Efficient bird sound detection on the bela embedded system." ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. (PDF)
- Kiarie, Gabriel, and Ciira wa MAINA. "Raspberry Pi Based Recording System for Acoustic Monitoring of Bird Species." 2021 IST-Africa Conference (IST-Africa). IEEE, 2021. (PDF)
- Ciira, Wa Maina. "Cost effective acoustic monitoring of bird species." Interspeech, 2016. (PDF)
- Wijers, Matthew, et al. "CARACAL: A versatile passive acoustic monitoring tool for wildlife research and conservation." Bioacoustics 30.1 (2021): 41-57.(PDF)
- Nagy, Kristóf, et al. "Internet of Birds (IoB): Song Based Bird Sensing via Machine Learning in the Cloud: How to sense, identify, classify birds based on their songs?." 2020 IEEE SENSORS. IEEE, 2020.(PDF)
- Sturley, Sean, and Santiago Matalonga. "PANDI: a hybrid open source edge-based system for environmental and real-time passive acoustic monitoring-prototype design and development." 2020 1st International conference on innovative research in applied science, engineering and technology (IRASET). IEEE, 2020.(PDF)
- Kahl, Stefan, et al. "BirdNET: A deep learning solution for avian diversity monitoring." Ecological Informatics 61 (2021): 101236. (HTML)
- Crunchant, Anne-Sophie, et al. "Acoustic sensors." Conservation Technology (2021): 53. (HTML)
- Abdullah, Harnan M., et al. "Raspberry Pi Based IoT for Aquaculture Realtime Remote Monitoring System with Self Energy Harvesting." IOP Conference Series: Materials Science and Engineering. Vol. 1077. No. 1. IOP Publishing, 2021. (PDF)
- Zabidi, Muhammad Munim, et al. "Bird Sound Detection with Binarized Neural Networks." ELEKTRIKA-Journal of Electrical Engineering 21.1 (2022): 48-53. (PDF)
- Hong, Tee Yun, and M. M. A. Zabidi. "Bird Sound Detection with Convolutional Neural Networks using Raw Waveforms and Spectrograms." Proceedings of the International Symposium on Applied Science and Engineering, Erzurum, Turkey. 2021. (PDF)
- Ramli, Norhafizah, et al. "An open source LoRa based vehicle tracking system." Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 7.2 (2019): 221-228. (PDF)
- Jeoung, Jong Ee, You Kok Yeow, and Muhammad Munim Ahmad Zabidi. "Keyword Spotting on Embedded System with Deep Learning." Proceedings of 2019 Electrical Engineering Symposium (EES2019) - Vol. 3 (2019). (PDF)
- rpi-eco-monitoring Software for SAFE Raspberry Pi
- Seeedstudio Arduino audio scene recognition