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Cyanosense: a proximal sensing infrastructure for monitoring proliferation of cyanobacterial harmful algal blooms (Conference Presentation)
Author(s): Deepak R. Mishra
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Paper Abstract

Cyanobacterial Harmful Algal Blooms (CyanoHABs) are a major water quality and public health issue in inland waters as they hamper recreational activities, degrade aquatic habitats, and potentially affect human health via toxic contamination. Despite the risks posed to the environment, human and animal health, currently, there is a lack of rapid monitoring program to periodically evaluate the spatial distribution of cyanobacteria in inland waters. This study integrated multiple clouds including community cloud (via social media data), sensor cloud (CyanoSense- wireless hyperspectral sensor) and computational cloud to design and implement techniques for early detection of CyanoHABs in inland waters. Social cloud data helped to identify the geographical locations frequently affected by CyanoHABs and CyanoSense helped in verifying those locations and retrieve concentrations. This integrated monitoring system would be very useful for lake resource management and state agencies by reducing their budget cost for rapid detection and frequent monitoring of CyanoHABs across inland waters.

Paper Details

Date Published: 14 May 2019
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Proc. SPIE 11007, Advanced Environmental, Chemical, and Biological Sensing Technologies XV, 110070A (14 May 2019); doi: 10.1117/12.2521671
Show Author Affiliations
Deepak R. Mishra, The Univ. of Georgia (United States)


Published in SPIE Proceedings Vol. 11007:
Advanced Environmental, Chemical, and Biological Sensing Technologies XV
Tuan Vo-Dinh, Editor(s)

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