B. B. Rao, J. Keerthana, C. Raghavendra, Kushi Sarangamath, Mallikarjuna
{"title":"An Overview on Detemining Fish Population using Image and Acoustic Approaches","authors":"B. B. Rao, J. Keerthana, C. Raghavendra, Kushi Sarangamath, Mallikarjuna","doi":"10.1109/ICDSIS55133.2022.9915953","DOIUrl":null,"url":null,"abstract":"India is indeed the world’s third largest producer of fish, with the aquaculture sector accounting for roughly 68 percent of the country’s total fish production. Aquaculture accounts for 1.07 percent of the country’s GDP. By 2025, India is anticipated to require 1.6 crore tonnes of fisheries. However, due to abrupt regional climatic conditions, aquatic productivity has reduced in recent situations. In intensive aquaculture, the quantity of fish in a shoal can provide useful information for the design of smart manufacturing management systems. Traditional artificial sampling and manual testing of aquatic life are not only difficult, arduous, and time - intensive, but they also put strain on the fish because it is a disruptive contact method that impacts fish well-being and health. This study reports on a review of an automatic fish counting system based on appropriate and dependable technology that can assist farmers in real-time, reliable and lossless fish population counts to address the aforementioned difficulties.","PeriodicalId":178360,"journal":{"name":"2022 IEEE International Conference on Data Science and Information System (ICDSIS)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Data Science and Information System (ICDSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSIS55133.2022.9915953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
India is indeed the world’s third largest producer of fish, with the aquaculture sector accounting for roughly 68 percent of the country’s total fish production. Aquaculture accounts for 1.07 percent of the country’s GDP. By 2025, India is anticipated to require 1.6 crore tonnes of fisheries. However, due to abrupt regional climatic conditions, aquatic productivity has reduced in recent situations. In intensive aquaculture, the quantity of fish in a shoal can provide useful information for the design of smart manufacturing management systems. Traditional artificial sampling and manual testing of aquatic life are not only difficult, arduous, and time - intensive, but they also put strain on the fish because it is a disruptive contact method that impacts fish well-being and health. This study reports on a review of an automatic fish counting system based on appropriate and dependable technology that can assist farmers in real-time, reliable and lossless fish population counts to address the aforementioned difficulties.