{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T15:13:19Z","timestamp":1773155599475,"version":"3.50.1"},"reference-count":64,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T00:00:00Z","timestamp":1646697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins in and are thus prone to death, making continuously checking water quality a quintessential task. But traditional systems for checking water quality are energy-consuming, involving the initial collection of water samples from different locations and then testing them in the lab. One emerging technology, the Internet of Things (IoT), shows great promise related to this field. This paper presents a detailed review of various water quality monitoring systems (WQSN), using IoT, that have been proposed by various researchers for the past decade (2011\u20132020). In this instance, new calculations are made for potential clients to analyze the concerned area of research. This review acknowledges key accomplishments concerning quality measures and success indicators regarding qualitative and quantitative measurement. This study also explores the key points and reasons behind lessons learned and proposes a roadmap for impending findings.<\/jats:p>","DOI":"10.3390\/s22062088","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T01:50:53Z","timestamp":1646790653000},"page":"2088","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9758-8805","authenticated-orcid":false,"given":"M.","family":"Manoj","sequence":"first","affiliation":[{"name":"Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai 600062, India"}]},{"given":"V.","family":"Dhilip Kumar","sequence":"additional","affiliation":[{"name":"Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai 600062, India"}]},{"given":"Muhammad","family":"Arif","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Technology, University of Lahore, Lahore 54590, Pakistan"}]},{"given":"Elena-Raluca","family":"Bulai","sequence":"additional","affiliation":[{"name":"Faculty of Medicine and Biological Sciences, Stefan cel Mare University, 720229 Suceava, Romania"}]},{"given":"Petru","family":"Bulai","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering, Automotive, and Robotics, Stefan cel Mare University, 720229 Suceava, Romania"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8347-8733","authenticated-orcid":false,"given":"Oana","family":"Geman","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, 720229 Suceava, Romania"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Salim, T.I., Alam, H.S., Pratama, R.P., Anto, I.A.F., and Munandar, A. 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