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Artificial intelligence-based biomonitoring of water quality

CGSpace

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Field Value
 
Title Artificial intelligence-based biomonitoring of water quality
 
Creator Pattinson, N. B.
Kuen, R.
Kuen, R.
 
Subject water quality
biomonitoring
artificial intelligence
rivers
citizen science
macroinvertebrates
machine learning
 
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.
 
Date 2022-12-08
2023-01-24T11:58:49Z
2023-01-24T11:58:49Z
 
Type Report
 
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
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 32p.
 
Publisher International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation