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dc.contributor.author
Manefjord, Hampus  
dc.contributor.author
Muller, Lauro  
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Li, Meng  
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Salvador, Jacobo Omar  
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Blomqvist, Sofia  
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Runemark, Anna  
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Kirkeby, Carsten  
dc.contributor.author
Ignell, Rickard  
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Bood, Joakim  
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Brydegaard, Mikkel  
dc.date.available
2023-11-30T18:56:08Z  
dc.date.issued
2023-03  
dc.identifier.citation
Manefjord, Hampus; Muller, Lauro; Li, Meng; Salvador, Jacobo Omar; Blomqvist, Sofia; et al.; 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects; Institute of Electrical and Electronics Engineers; Ieee Journal Of Selected Topics In Quantum Electronics; 28; 5; 3-2023; 1-9  
dc.identifier.issn
1077-260X  
dc.identifier.uri
http://hdl.handle.net/11336/218940  
dc.description.abstract
Insects play crucial roles in ecosystems, and how they disperse within their habitat has significant implications for our daily life. Examples include foraging ranges for pollinators, as well as the spread of disease vectors and pests. Despite technological advances with radio tags, isotopes, and genetic sequencing, insect dispersal and migration range remain challenging to study. The gold standard method of mark-recapture is tedious and inefficient. This paper demonstrates the construction of a compact, inexpensive hyperspectral fluorescence lidar. The system is based on off-the-shelf components and 3D printing. After evaluating the performance of the instrument in the laboratory, we demonstrate its efficient range-resolved fluorescence spectra in situ. We present daytime remote ranging and fluorescent identification of auto-powder-tagged honey bees. We also showcase range-, temporally- and spectrally-resolved free-flying mosquitoes, which were tagged through feeding on fluorescent-dyed sugar water. We conclude that violet light can efficiently excite administered sugar meals imbibed by flying insects. Our field experiences provide realistic expectations of signal-to-noise levels, which can be used in future studies. The technique is generally applicable and can efficiently monitor several tagged insect groups in parallel for comparative ecological analysis. This technique opens up a range of ecological experiments, which were previously unfeasible.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
DISEASE VECTORS  
dc.subject
ECOLOGY  
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ENVIRONMENTAL MONITORING  
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FLUORESCENCE  
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HYPERSPECTRAL SENSORS  
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INSTRUMENTATION  
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LASER RADAR  
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POLLINATION  
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REMOTE SENSING  
dc.subject.classification
Óptica  
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Ciencias Físicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-11-28T14:56:55Z  
dc.journal.volume
28  
dc.journal.number
5  
dc.journal.pagination
1-9  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Manefjord, Hampus. Lund University; Suecia  
dc.description.fil
Fil: Muller, Lauro. Lund University; Suecia  
dc.description.fil
Fil: Li, Meng. Lund University; Suecia  
dc.description.fil
Fil: Salvador, Jacobo Omar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Lund University; Suecia  
dc.description.fil
Fil: Blomqvist, Sofia. Lund University; Suecia  
dc.description.fil
Fil: Runemark, Anna. Lund University; Suecia  
dc.description.fil
Fil: Kirkeby, Carsten. Universidad de Copenhagen; Dinamarca  
dc.description.fil
Fil: Ignell, Rickard. Lund University; Suecia  
dc.description.fil
Fil: Bood, Joakim. Swedish Agricultural University; Suecia  
dc.description.fil
Fil: Brydegaard, Mikkel. Lund University; Suecia  
dc.journal.title
Ieee Journal Of Selected Topics In Quantum Electronics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9743304  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JSTQE.2022.3162417