Projects per year
Personal profile
Keywords
- Machine learning
- Sustainable agriculture
- Insects
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Dive into the research topics where Quentin Geissmann is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 6 Active
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Experimental metaphenomics, an AI-inspired paradigm to reveal plant’s response surfaces
Geissmann, Q. (PI) & Lauritsen, M. D. (Participant)
01/01/2025 → 31/12/2027
Project: Research
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MAkiNg Technology work for moNitoring polliNAtors (ANTENNA)
Geissmann, Q. (PI) & Schweiger, O. (Participant)
01/02/2024 → 31/01/2027
Project: Research
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Novel deep learning and remote sensing to reveal the uncharted biology of earthworms: cryptic, but pivotal, actors of agroecological circularity
Geissmann, Q. (PI), He, Z. (Participant) & Vittrup, M. S. (Participant)
01/01/2024 → 31/12/2028
Project: Research
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Automated Monitoring of Insects (AMI)
Janss, L. (Project manager) & Geissmann, Q. (Participant)
01/07/2023 → 30/06/2025
Project: Research
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SelRAS: Reducing climate impact and improving productivity by adapting pike-perch to recirculated aquaculture systems with selective breeding (SelRAS)
Nielsen, H. M. (PI), Sahana, G. (Participant), Cai, Z. (Participant), Geissmann, Q. (Participant), Chu, T. T. (Participant), Gebreyesus, G. (Participant) & Zaalberg, R. M. (Participant)
01/01/2023 → 31/12/2026
Project: Research
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Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system
Chen, M. Y., Fulton, L. M., Huang, I., Liman, A., Hossain, S. S., Hamilton, C. D., Song, S., Geissmann, Q., King, K. C. & Haney, C. H., Feb 2025, In: PLOS Pathogens. 21, 2 February, e1012894.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Open Access -
Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G., Aug 2025, In: Smart Agricultural Technology. 11, 100953.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Open Access -
Computer vision and deep learning in insects for food and feed production: A review
Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G., Jan 2024, In: Computers and Electronics in Agriculture. 216, 108503.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Review › Research › peer-review
Open Access24 Citations (Scopus) -
Computer-vision based prediction of body traits and larval sex in black soldier fly
Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G., Feb 2024.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open Access -
Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled
Westwood, M. L., Geissmann, Q., O'Donnell, A. J., Rayner, J., Schneider, W., Zuk, M., Bailey, N. W. & Reece, S. E., 1 Jan 2024, In: Behavioral Ecology. 35, 1, arad098.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Open Access1 Citation (Scopus)