Real-time tracking of animal movements is enabling more effective and efficient wildlife monitoring for management, security, and research. As devices get smaller and prices drop, the possibilities for using biologging on a larger scale have grown, and so have the possibilities for increasing customisation to meet specific research needs. Likewise, real-time tracking of illegal wildlife trade, timber, and fish products as they move from source to consumer can shed light on trafficking routes and actors, as well as support enforcement, making tracking gear a powerful tool beyond the field.
Our fourth and final meetup in Season 4 explored the future of movement ecology, including tools that could change the game and questions we might not yet have thought to ask. On June 8, we heard short talks from leading experts Christian Rutz, Ran Nathan, Martin Wikelski, and Tanya Berger-Wolf, followed by open discussion and community exchange.
This group is a place to share low-cost, open-source devices for conservation; describe how they are being used, including what needs they are addressing and how they fit in to the wider conservation tech market; identify the obstacles in advancing the capacity of these technologies; and to discuss the future of these solutions - particularly their sustainability and how best to collaborate moving forward.
<p>Camera trap wildlife surveys can generate vast amounts of imagery. A key problem in the wildlife ecology field is that vast amounts of time is spent reviewing this imagery to identify the species detected. Valuable resources are wasted, and the scale of studies is limited by this review process. The use of computer software capable of extracting false positives, automatically identifying animals detected and sorting imagery could greatly increase efficiency. AI has been demonstrated as an effective option for automatically identifying species from camera trap imagery. Currently available code bases are inaccessible to the majority of users; requiring high-performance computers, advanced software engineering skills and, often, high-bandwidth internet connections to access cloud services. The <em>ClassifyMe</em> software tool is designed to address this gap and provides users the opportunity to utilise state-of-the-art image recognition algorithms without the need for specialised computer programming skills. <em>ClassifyMe</em> is IDEAL for field researchers, allowing users to sweep through camera trap imagery using field computers instead of office-based workstations.</p>
Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.
Microchip has just announced the 1 GHz SAMA7G54 single-core Arm Cortex-A7 microprocessor (MPU) with MIPI CSI-2 and parallel camera interfaces, as well as up to four I2S, one SPDIF transmitter and receiver, and a 4-stereo channel audio sample rate converter.
Human-wildlife conflict is a significant challenge that only grows as habitats shrink and other issues like climate change alter the natural world. Technologies like biologging gear have become essential for proactively addressing human-wildlife conflict before it escalates, and tech projects that seek to understand population ranges and behaviour can help people learn to live with wildlife as part of our own environments. If you're interested in using technology to prevent human-wildlife conflict, this group is the place for you!
<p>On 3rd November 2021, Earthranger Announced <a href="https://giraffeconservation.org/">Giraffe Conservation Foundation </a>and<a href="http://lionguardians.org/"> Lion Guardians</a> as the inaugral Conservation Tech Award Recipients. The two organizations are Harnessing the Power of Technology to Protect Endangered Species and Promote Human-Wildlife Coexistence.</p>
Every day, mapping and spatial analysis are aiding conservation decisions, protected areas designation, habitat management on reserves and monitoring of wildlife populations, to name but a few examples. If you are excited by the ways in which GIS is used in conservation, this is the group for you!
This study presents a comprehensive comparison of point clouds from four systems, linear and Geiger-mode LiDAR from manned aircraft and multi-beam LiDAR on unmanned aerial vehicle (UAV), and in-house developed Backpack, with the consideration of different forest canopy cover scenarios.
The software and apps used and built by the conservation tech community are as varied as the species and habitats we work to protect. From fighting wildlife crime to collecting and analyzing data to engaging the general public with unique storytelling, apps, software, and mobile games are playing an increasingly large role in our work. Whether you're already well-versed in the world of software, or you're a hardware expert looking for guidance from the other side of the conservation tech field, this group will have interesting discussions, resources, and ideas to offer.
Conservation dogs are making a difference in conservation through their noninvasive ability to detect elusive species in the wild, flag illegal wildlife trade products, and help poachers fight wildlife crime. Whether you work with conservation dogs, you're interested in incorporating them into your work, or you just want to learn about how dogs can support and enhance conservation technology's effectiveness, you're in the right place!
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.
A new web portal for annotating bird sounds has been opened called Bird Sounds Global (BSG). It is part of project LIFEPLAN, and its key objective is to develop global, automated software for bird sound identification.
Want to talk about sensors that don't quite fit into any of our tech-specific groups? This is the place to post! From temperature and humidity to airflow and pressure sensors, there are many environmental sensing tools that can add valuable data to core conservation monitoring technologies. With the increasing availability of low-cost, open-source options, we've seen growing interest in integrating these kinds of low bandwidth sensors into existing tools. What kinds of sensors are you working with?
"To paraphrase Hemingway, the chip shortage hit FieldKit in two ways: gradually and then suddenly."
Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!
Welcome to the eighth and final module of our Build Your Own Data Logger virtual course. We’ve built, coded and tested our data logger. Now we’re taking it into the field.
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