A simple assessment of the scenario is that the farmers are unable to maintain their fish farm on a regular and efficient basis. Our initiative aims to identify and automatically rectify problems such as a drop in water level, a decrease in dissolved oxygen content, an increase in water temperature, and a decrease in suspended particles (turbidity) that affect the lives of fishes. In this panel, the Arduino UNO is used to make connections between all the sensors and the Arduino UNO, which is then controlled by the Arduino UNO. [4] If one of these sensors identifies an issue, a notification is immediately sent to the farmers, and the sensor’s value is updated on the website at the same time. This website will provide a weekly report that will assist farmers in managing their ponds and wetlands, and it will be updated regularly. This strategy saves farmers time and effort by allowing them to move anywhere they like without having to worry about their fish stock’s safety. Additionally, labor costs are being lowered, which will benefit the agricultural economy considerably.
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20 October 2023
3RD INTERNATIONAL CONFERENCE ON INNOVATIONS IN THERMAL, MANUFACTURING, STRUCTURAL, AND ENVIRONMENTAL ENGINEERING
22–23 April 2022
Tiruchirappalli, India
Research Article|
October 20 2023
Aquaculture monitoring and automation system
P. Suthahar;
P. Suthahar
a)
1
Department of Information Technology, Sri Sai Ram Institute of Technology
, Chennai, India
a)Corresponding author: [email protected]
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S. Yaamini;
S. Yaamini
1
Department of Information Technology, Sri Sai Ram Institute of Technology
, Chennai, India
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L. Preethi;
L. Preethi
1
Department of Information Technology, Sri Sai Ram Institute of Technology
, Chennai, India
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M. Gayathrigyanambal
M. Gayathrigyanambal
1
Department of Information Technology, Sri Sai Ram Institute of Technology
, Chennai, India
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P. Suthahar
1,a)
S. Yaamini
1
L. Preethi
1
M. Gayathrigyanambal
1
1
Department of Information Technology, Sri Sai Ram Institute of Technology
, Chennai, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 2912, 020029 (2023)
Citation
P. Suthahar, S. Yaamini, L. Preethi, M. Gayathrigyanambal; Aquaculture monitoring and automation system. AIP Conf. Proc. 20 October 2023; 2912 (1): 020029. https://doi.org/10.1063/5.0171866
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