ΑΙhub.org

Focus on life on land


Artificial intelligence and big data to help preserve wildlife

Research collaborators propose that animal ecologists can capitalize on large datasets generated by modern sensors by combining machine learning approaches with domain knowledge.
25 February 2022, by

Artificial intelligence helps speed up ecological surveys

A deep-learning model for counting the number of seals in aerial photos that is considerably faster than doing it by hand.
24 January 2022, by

Using imaging and machine learning tools to analyse features of plant leaves

Scientists have developed tools to discover attributes that contribute to water-use efficiency in crop plants during photosynthesis.
29 October 2021, by

Interview with Lily Xu – applying machine learning to the prevention of illegal wildlife poaching

Lily Xu tells us about her work applying machine learning and game theory to wildlife conservation.
20 October 2021, by

What bird is singing? Merlin Bird ID app offers instant answers

The Cornell Lab of Ornithology’s free Merlin Bird ID app can identify bird sounds.
19 October 2021, by

Artificial intelligence can help highway departments find bats roosting under bridges

Using photographs and computer vision techniques to automatically detect the presence of bats on bridges.
12 October 2021, by


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New digital tools to track illegal wildlife trade online

Using data from social media platforms in combination with machine learning methods to identify what species and wildlife products are traded online and what are the motives behind the trade.
07 October 2021, by

AI tools for assessing zero-deforestation commitments in Vietnam

The Coffee Vision project is developing a smart monitoring tool to support the certification of sustainable coffee plots in Vietnam.
06 October 2021, by and

AIhub launches focus series on life on land

We are now publishing articles on the latest topic in our series on the UN sustainable development goals.
06 October 2021, by

Focus on life on land: call for contributions

We are looking for AI researchers, users and stakeholders to write, or talk, about their work relating to life on land.
10 September 2021, by







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