Artificial intelligence-based biomonitoring of water quality
CGSpace
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Title |
Artificial intelligence-based biomonitoring of water quality
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Creator |
Pattinson, N. B.
Kuen, R. Kuen, R. |
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Subject |
water quality
biomonitoring artificial intelligence rivers citizen science macroinvertebrates machine learning |
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Description |
The miniSASS was developed as a citizen science tool for monitoring the health of river systems and reflecting the water quality through assessing macroinvertebrates communities. The miniSASS samples the macroinvertebrate community in a river reach and compares the community present to the expected community under ideal natural conditions. The information garnered during a survey relies heavily on the accurate identification of macroinvertebrates by lows killed citizen scientists. This leaves a potential for errors in identification which may impact the accuracy of results and, ultimately, of the river health assessment. In response, we initiated the development of a smartphone application with built-in machine-learning algorithms for the automatic, real-time identification of macroinvertebrates. This report presents our data, methodology, and preliminary results from the automated identification algorithms.
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Date |
2022-12-08
2023-01-24T11:58:49Z 2023-01-24T11:58:49Z |
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Type |
Report
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Identifier |
Pattinson, N. B.; Kuen, R.; Kuen, R. 2022. Artificial intelligence-based biomonitoring of water quality. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 32p.
https://hdl.handle.net/10568/128025 https://www.iwmi.cgiar.org/Publications/Other/PDF/artificial_intelligence-based_biomonitoring_of_water_quality.pdf H051644 |
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Language |
en
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Rights |
CC-BY-4.0
Open Access |
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Format |
32p.
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Publisher |
International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation
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