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Hjalte Mads Rosenstand Mann

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  1. 2023
  2. Accepted/In press
    Quantification of invertebrates on fungal fruit bodies by the use of time-lapse cameras. / Lunde, Lisa F.; Ferkingstad, Bendik; Wegger, Hermann et al.
    In: Ecological Entomology, 2023.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  3. 2022
  4. Published
    Accurate detection and identification of insects from camera trap images with deep learning. / Bjerge, Kim; Alison, Jamie; Dyrmann, Mads et al.
    bioRxiv, 2022.

    Research output: Working paper/Preprint › Preprint

  5. Published
    Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. / Mann, Hjalte M.R.; Iosifidis, Alexandros; Jepsen, Jane U. et al.
    In: Remote Sensing in Ecology and Conservation, Vol. 8, No. 6, 12.2022, p. 765-777.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  6. Published
    Towards the fully automated monitoring of ecological communities. / Besson, Marc; Alison, Jamie; Bjerge, Kim et al.
    In: Ecology Letters, Vol. 25, No. 12, 12.2022, p. 2753-2775.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  7. Published
    Automatic monitoring of plant-pollinator interactions with computer vision and deep learning. / Mann, Hjalte Mads Rosenstand.
    Aarhus Universitet, 2022. 136 p.

    Research output: Book/anthology/dissertation/report › Ph.D. thesis

  8. Published
    Moths complement bumblebee pollination of red clover: A case for day-and-night insect surveillance. / Alison, Jamie; Alexander, Jake M.; Diaz Zeugin, Nathan et al.
    In: Biology Letters, Vol. 18, No. 7, 20220187, 07.2022.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  9. Published
    Real-time insect tracking and monitoring with computer vision and deep learning. / Bjerge, Kim; Mann, Hjalte Mads Rosenstand; Høye, Toke Thomas.
    In: Remote Sensing in Ecology and Conservation, Vol. 8, No. 3, 06.2022, p. 315-327.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  10. 2021
  11. Published
    Deep learning and computer vision will transform entomology. / Høye, Toke Thomas; Ärje, Johanna; Bjerge, Kim et al.
    In: Proceedings of the National Academy of Sciences, Vol. 118, No. 2, e2002545117, 01.2021.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  12. 2020
  13. Published
    Kamerabaseret overvågning af Insekter på grønne bytage. / Høye, Toke Thomas; Mann, Hjalte Mads Rosenstand; Bjerge, Kim.
    Aarhus: Aarhus Universitet, DCE – Nationalt Center for Miljø og Energi ©, 2020. 18 p. (Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi; No. 371).

    Research output: Book/anthology/dissertation/report › Report › Commissioned