Publication:
Image Processing and IoT-based Fish Diseases Identification and Fish Tank Monitoring System

dc.contributor.authorRanaweera, I.U.
dc.contributor.authorWeerakkody, G.K
dc.contributor.authorBalasooriya, B.M.Eranda Kasun
dc.contributor.authorSwarnakantha, N.H.P.Ravi Supunya
dc.date.accessioned2023-03-09T03:48:11Z
dc.date.available2023-03-09T03:48:11Z
dc.date.issued2022-12-09
dc.description.abstractEvery person has their way of relaxing and having fun. The most well-liked approach to do it is to own a pet. When most individuals work from home and anxiety levels are high, people have certain restrictions on going outdoors and engaging in activities due to the existing COVID scenario. Consequently, we developed a product called AquaScanner. The problems that come with the aquarium environment can all be handled by our product. Our product primarily consists of an application that can regulate and monitor aquarium tanks by regulating feeding routines, fish disease detection, and water quality monitoring. The AquaScanner focuses on recognizing two significant illnesses, Fin Rot and Fungi bacteria, under the heading of disease identification. Additionally, the product will recommend treatments for the illness and provide two distinct methods for feeding the fish manually and automatically through the application. The AquaScanner can regulate feeding operations. Also, AquaScanner can independently monitor all key water parameters as part of the water quality measurement system. A user-friendly interface connects these three key elements. Owners of aquariums may manage and keep an eye on their beloved aquariums from anywhere in the world.en_US
dc.identifier.citationI. U. Ranaweera, G. K. Weerakkody, B. M. E. K. Balasooriya, N. H. P. R. S. Swarnakantha and U. U. S. Rajapaksha, "Image Processing and IoT-based Fish Diseases Identification and Fish Tank Monitoring System," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 144-149, doi: 10.1109/ICAC57685.2022.10025327.en_US
dc.identifier.doi10.1109/ICAC57685.2022.10025327en_US
dc.identifier.isbn979-8-3503-9809-0
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3339
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 4th International Conference on Advancements in Computing (ICAC);
dc.subjectImage Processingen_US
dc.subjectIoT-baseden_US
dc.subjectFish Diseasesen_US
dc.subjectIdentificationen_US
dc.subjectFish Tanken_US
dc.subjectMonitoring Systemen_US
dc.titleImage Processing and IoT-based Fish Diseases Identification and Fish Tank Monitoring Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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