ReviewAnimals : an open access journal from MDPI2020
Innovations in Camera Trapping Technology and Approaches: The Integration of Citizen Science and Artificial Intelligence.
Review in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
15 citing papers in PubMed.
- AI-driven technological breakthroughs and practical pathways for biodiversity conservation and ecological management.iScience · 2026Review
- Deep Learning-Based Monitoring of European Hamster Activity.Ecology and evolution · 2026Article
- Global Camera Trapping Inventory (GCTI) v.1.0: A worldwide inventory of camera-trapping studies for spatial biodiversity analysis.Zoological research · 2026Article
- Expanding the Toolbox: Mangrove Use by Spotted Eagle Rays (Ecology and evolution · 2026Article
- Improving wildlife track classification through human-in-the-loop method and explainable AI.Scientific reports · 2026Article
- Building trust with marginalized communities in participatory acoustic monitoring through dynamic consent.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Large-scale and long-term wildlife research and monitoring using camera traps: a continental synthesis.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Review
- Exploring local perceptions and drivers of engagement in biodiversity monitoring among participants in payments for ecosystem services schemes in southeastern Mexico.Conservation biology : the journal of the Society for Conservation Biology · 2024Article
- Young people in iNaturalist: a blended learning framework for biodiversity monitoring.International journal of science education. Part B. Communication and public engagement · 2024Article
- Horizontal viewsheds of large herbivores as a function of woodland structure.Ecology and evolution · 2023Article
- Camera traps and guard observations as an alternative to researcher observation for studying anthropogenic foraging.Ecology and evolution · 2022Article
- Article
- Chimpanzee identification and social network construction through an online citizen science platform.Ecology and evolution · 2021Article
- Quantitative photogrammetric methodology for measuring mammalian belly score in the painted dog.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Camera trapping has become an increasingly reliable and mainstream tool for surveying a diversity of wildlife species. Concurrent with this has been an increasing effort to involve the wider public in the research process, in an approach known as 'citizen science'. To date, millions of people have contributed to research across a wide variety of disciplines as a result. Although their value for public engagement was recognised early on, camera traps were initially ill-suited for citizen science. As camera trap technology has evolved, cameras have become more user-friendly and the enormous quantities of data they now collect has led researchers to seek assistance in classifying footage. This has now made camera trap research a prime candidate for citizen science, as reflected by the large number of camera trap projects now integrating public participation. Researchers are also turning to Artificial Intelligence (AI) to assist with classification of footage. Although this rapidly-advancing field is already proving a useful tool, accuracy is variable and AI does not provide the social and engagement benefits associated with citizen science approaches. We propose, as a solution, more efforts to combine citizen science with AI to improve classification accuracy and efficiency while maintaining public involvement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.