A Cloud Monitoring System for Aquaculture using IoT

Michael Cordova-Rozas, Jose Aucapuri-Lecarnaque, Pedro Shiguihara-Juarez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Aquaculture has positioned itself at the same level with fishing activity. By 2030, global fish consumption will be 60% from aquaculture and 40% from fishing. Water quality is an important factor in the breeding process of a fish, the most important physic-chemical parameters are dissolved oxygen, pH and water temperature. Those parameters must be monitored to avoid problems in aquaculture production like delay in growth of the fish and mortality. In previous researches technological solutions are presented using an IoT device, in most cases they used a local server, on the other hand the collected data were stored in an excel file or a database. In this experiment we chose two parameters, pH and temperature. We carried out two tests, the first consisted of calculating the error rate of the pH sensor. The second test was made on an aquarium in Peru. The objective of the solution is to provide real-Time information to fish-farmers to anticipate risks and have a more efficient production. The results of the tests made are: The error rate of the pH sensor is 3.39 % and it is good because it is less than 5%. On the other hand, the results obtained in the aquarium remained within the acceptable range, however, it showed alerts to the keeper of the aquarium when the pH were lower than 6, because water get more acid when pH is near to 0 making that fishes get illness that will kill them in some cases. In conclusion, our proposal helps the farmers to have the information of their ponds in real time so they can take action against possible risks in their production.

Original languageEnglish
Title of host publicationSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138183
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019 - Lima, Peru
Duration: 13 Nov 201915 Nov 2019

Publication series

NameSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference

Conference

Conference2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019
Country/TerritoryPeru
CityLima
Period13/11/1915/11/19

Keywords

  • Cloud Monitoring System for Aquaculture
  • Monitoring quality water
  • Physico-chemical sensors

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