Blar i NINA Brage på emneord "machine learning"

Viser treff 1-4 av 4

    • Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning 

      Mann, Hjalte M. R.; Iosifidis, Alexandros; Jepsen, Jane Uhd; Welker, Jeffrey M.; Loonen, Maarten J.J.E.; Høye, Toke T. (Peer reviewed; Journal article, 2022)
      The advancement of spring is a widespread biological response to climate change observed across taxa and biomes. However, the species level responses to warming are complex and the underlying mechanisms are difficult to ...

    • Roadmap for generating a soil map for Norwegian pristine mires 

      Silvennoinen, Hanna; Venter, Zander; Hansen, Jenny; Fandrem, Marte; Lunde, Linn Marie; Lyngstad, Anders; Kyrkjeeide, Magni Olsen; A’Campo, Willeke (NINA Rapport;2374, Research report, 2023)
      Silvennoinen, H., Venter, Z., Hansen, J., Fandrem, M., Lunde, L.M., Lyngstad, A., Kyrkjeeide, M.O., A’Campo, W. & Nilsen, E. 2023. Roadmap for generating a soil map for Norwegian pristine mires. NINA Report 2374. Norwegian ...

    • Soundscapes predict species occurrence in tropical forests 

      Sethi, Sarab Singh; Ewers, Robert M.; Jones, Nick S.; Sleutel, Jani; Shabrani, Adi; Zulkifli, Nursyamin; Picinali, Lorenzo (Peer reviewed; Journal article, 2021)
      Accurate occurrence data is necessary for the conservation of keystone or endangered species, but acquiring it is usually slow, laborious and costly. Automated acoustic monitoring offers a scalable alternative to manual ...

    • Voice activity detection in eco-acoustic data enables privacy protection and is a proxy for human disturbance 

      Cretois, Benjamin; Rosten, Carolyn; Sethi, Sarab Singh (Peer reviewed; Journal article, 2022)
      1. Eco-acoustic monitoring is increasingly being used to map biodiversity across large scales, yet little thought is given to the privacy concerns and potential scientific value of inadvertently recorded human speech. ...