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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Water Monitoring System for Smart Fish Farming that is Based on IoT

Authors: R. Sireesha; C. Venkataiah; Manjula Jayamma;

Water Monitoring System for Smart Fish Farming that is Based on IoT

Abstract

The topic of Internet of Things, or IoT, is expanding rapidly and is currently influencing every aspect of modern life. Innovation in farming and aquaculture is reaching a new height because to advancements in computers like Arduino and Raspberry Pi. We have described and implemented the use of Raspberry Pi, Arduino, several sensors, smartphone cameras, and Android applications for the purpose of monitoring the water quality in aquaculture in this work. Temperature, pH, Electrical Conductivity, and Colour are the water quality metrics that are used in this investigation. Arduino is utilised for sensor acquisition, and Raspberry Pi is used for data processing and server functions. In order to determine the colour of the water, the Raspberry Pi also takes pictures using the camera on a smartphone. The terminal device in this case is an Android phone. Using an Android app, a user may keep an eye on the water quality both locally through Wi-Fi and globally via the Internet. To ascertain the overall approximate condition of the water and the necessary action, some analysis is conducted using the values of the four parameters. This checking device's features are all easily and legitimately operable.

Keywords

Aquaculture, arduino, raspberry Pi, water, quality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green