Overview
Artificial Intelligence (AI) and Machine Learning (ML) involves using computer algorithms to analyse large amounts of data to identify patterns, predict behaviors, and make informed decisions to enhance conservation strategies and management.
Image credit: Sarah Bassing and the Washington Predator-Prey Project
Products
View all 53 AI/machine learning products
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GBNAT
Automatic Reporting System to Identify Nature-related Risks GBNAT visualizes comprehensive and ready-to-use biodiversity information based on location and sector information and ranks the importance of biodiversity on a global scale.
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TN GAIN
Natural Regeneration and Conservation Effectives Assessment We visualize the nature-positive effects of environmental conservation activities; Utilizing native species, afforestation, forest conservation, and natural regeneration.
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Arbimon
Arbimon is free, no-code ecoacoustic platform that provides an efficient way to upload, store, and analyze mass amounts of acoustic data. Arbimon empowers users with innovative AI-powered ecoacoustic analysis tools and data-driven insights to effectively monitor biodiversity.
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CritterPic®
CritterPic provides real-time monitoring of small cryptic species and pest species through instant image feeds and automatic species identification.
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AI for Good Challenge
Crowd-source AI engineers from FruitPunch's global community and build a solution in a 10-week AI for Good Challenge
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Polytrack
Polytrack is a tracking software designed for monitoring untagged insect pollinators in outdoor environments to observe their pollination behaviour. It is equipped to detect and track multiple insect species and flowers using an AI-based hybrid detection algorithm.
WILDLABS content
Discussion
AI & Gamified Citizen Science
Brendan Joy
Hi everyone. I have been developing an idea for a gamified citizen science platform. It will leverage machine learning, gamified principles, GIS and collective citizen science to...
Career Opportunity
Hiring Chief Engineer at Conservation X Labs
Henrik Cox
Technology to End the Sixth Mass Extinction. Salary: $132 - $160k; Location: Seattle WA; 7+ years of experience in hardware product development and manufacturing; View post for full job description
We're excited to introduce our project that will enable conservationists to easily train models (no code!) that they can use to identify species in their camera trap images.As we...
Events
In numbers
WILDLABS group
Reviews
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Easy to use / Free to use / Stable / Reliable /Full Review
Great tool we have used for many of our Challenges, the detector itself is very preformant but it's the supporting code that makes it super easy to use and quick to deploy.
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Easy to use / Free to use / Stable / Reliable / Resource intensive /Full Review
Great system to increase situational awareness, runs in the background, automatically filters the signals from the noise and alerts the user of any threats
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Easily attachable / Lightweight / Bad accompanying software / Poor value for money / Unreliable data collection /Full Review
I must state that I have only used 8 of the the older (first) model Wild tag without the activity monitoring, but they only record(ed) on average ~8 locations per day and irregularly, so I think it's...
R&D
View all 7 AI/machine learning R&D
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R&D
Cost-effective, intelligent cameras for wildlife surveillance and detection which are low-cost, low-power and long-life.
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A smart self-resetting kill-trap which uses AI technology, with real-time species identification to only trigger on your selected pest species.
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R&D
OpenCollar is a conservation collaboration to design, support and deploy open-source tracking collar hardware and software for environmental and wildlife monitoring projects.
- RangerEdge
- RhinoEdge Cube – Horn implant
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By studying the patterns of honey bees using video cameras and an AI model, BeeLiving sensor are able to determine the biodiversity in that environment using a simple concept; the more different pollen colors are added, the greater the plant diversity in the area and the more balanced the food for the bee brood.
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Cetalingua project is a participatory platform that allows deep learning analysis by combining citizen science and Artificial Intelligence to decode marine mammal communication.
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R&D
Visipedia is a community of people and a network of machines that utilize Machine Learning techniques, designed to collect and organize visual information, making it easily accessible.
Organisations
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Think Nature Inc.
We, at Think Nature, are a university-launched startup that aims to transform into a nature economy where humans and nature coexist. Our mission is to evaluate and visualize the value of natural capital and contribute to Nature Positive economy.
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Critter Solutions
Critter Solutions is a technology research and development company based in New Zealand focused on R&D and delivering innovative conservation technologies.
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FruitPunch AI
The global AI for Good Community educating and applying AI for Good by crowd-sourcing AI engineers and learners on AI for Good and Conservation Challenges.
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Addax Data Science
Addax offers customised coding solutions for more efficient data analysis and intelligent workflow automation. Serving ecologists and analysts at research institutes, consultancies, agencies, and more. Addax Data Science helps you achieve reliable, data-driven insights.
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New York University (NYU) music and audio lab
MARL brings together scholars from music theory, technology and composition, computer and information science, interactive media and media studies, to explore the intersection between music, computation and science.