Presentation + Paper
12 March 2024 A video-rate hyperspectral camera for monitoring plant health and biodiversity
Laura J. Brooks, Daniel Pearce, Kenton Kwok, Nikhil Jawade, Man Qi, Erola Fenollosa, Deniz Beker, James Whicker, Katrina Davis, Roberto Salguero-Gómez, Robin Wang, Steve Chappell
Author Affiliations +
Abstract
Hyperspectral cameras are a key enabling technology in precision agriculture, biodiversity monitoring, and ecological research. Consequently, these applications are fueling a growing demand for devices that are suited to widespread deployment in such environments. Current hyperspectral cameras, however, require significant investment in post-processing, and rarely allow for live capture assessments. Here, we introduce a novel hyperspectral camera that combines live spectral data and high-resolution imagery. This camera is suitable for integration with robotics and automated monitoring systems. We explore the utility of this camera for applications including chlorophyll detection and live display of spectral indices relating to plant health. We discuss the performance of this novel technology and associated hyperspectral analysis methods to support an ecological study of grassland habitats at Wytham Woods, UK.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Laura J. Brooks, Daniel Pearce, Kenton Kwok, Nikhil Jawade, Man Qi, Erola Fenollosa, Deniz Beker, James Whicker, Katrina Davis, Roberto Salguero-Gómez, Robin Wang, and Steve Chappell "A video-rate hyperspectral camera for monitoring plant health and biodiversity", Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 1287902 (12 March 2024); https://doi.org/10.1117/12.3001623
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KEYWORDS
Cameras

Biodiversity

Compressed sensing

Machine learning

Hyperspectral imaging

Standards development

Agriculture

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