Abstract
In this study, we present an approach to macroalgae monitoring using an innovative, cost-effective hyperspectral camera system. Kelp beds, acknowledged for their ecological significance, provide essential fish habitats and contribute to nutrient cycling. With the increasing importance of responding to environmental changes, continuous monitoring has become essential, driven by European Union (EU)legislation. Hyperspectral imaging (HSI) is a powerful tool in this context due to its ability to detect pigment-characteristic fingerprints, but its high cost is a barrier to in situ monitoring. Our study showcases the development of an inexpensive HSI setup combining a GoPro camera with a rotating continuous variable spectral band pass filter, with cost-effective design and application. Experimental tests comprised a selection of two macro-algae species with overlapping spectral features and a controlled aquatic environment. Using a support vector machine (SVM) model for species discrimination, we were able to demonstrate promising discriminatory power of HSI over conventional RGB imaging. This work represents a leaping step towards achieving large-scale, automated ecological monitoring
Original language | English |
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Title of host publication | 22. Danske Havforskermøde Abstract book |
Publisher | Technical University of Denmark |
Publication date | 2024 |
Pages | 8-8 |
Publication status | Published - 2024 |
Event | 22. Danske Havforskermøde - DTU Aqua, Lyngby, Denmark Duration: 23 Jan 2024 → 25 Jan 2024 Conference number: 22 |
Conference
Conference | 22. Danske Havforskermøde |
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Number | 22 |
Location | DTU Aqua |
Country/Territory | Denmark |
City | Lyngby |
Period | 23/01/2024 → 25/01/2024 |