Digital expert system for smart aquaculture farming

An automate aquaculture system is designed using the global system for mobile communication (GSM), a platform that connects the on-field data with farmers through short message service (SMS) of a mobile phone. This project is aimed to increase the yield of production in an aquaculture industry which...

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Main Authors:	N. S., Shamsuddin, Fahmi, Samsuri, Vigneswaran, Narayanamurthy
Format:	Conference or Workshop Item
Language:	English English
Published:	2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27351/ http://umpir.ump.edu.my/id/eprint/27351/1/55.%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf http://umpir.ump.edu.my/id/eprint/27351/2/55.1%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf

id	ump-27351
recordtype	eprints
spelling	ump-273512020-01-17T02:40:00Z http://umpir.ump.edu.my/id/eprint/27351/ Digital expert system for smart aquaculture farming N. S., Shamsuddin Fahmi, Samsuri Vigneswaran, Narayanamurthy TK Electrical engineering. Electronics Nuclear engineering An automate aquaculture system is designed using the global system for mobile communication (GSM), a platform that connects the on-field data with farmers through short message service (SMS) of a mobile phone. This project is aimed to increase the yield of production in an aquaculture industry which is highly depends on several parameters. The element includes contents of potential hydrogens, dissolved oxygen content in water, oxygen reduction potential, water temperature, turbidity and conductivity contents. The other parameters that may affect the system are algae production, predators and etc. the developed system is to monitors all these parameters including suggesting any counter measurement needed to ease the farmers’ job scope. The global positioning system (GPS) is embedded together in order to attain the latitude and longitude values of the location of the field. It will then be compared to the existing database to obtain the location of the system. The parameters are monitored using different sets of sensors. The system is to ensure a developed real time-based monitoring system in which will provide expert suggestions and assistance in order to obtain maximum production in aquaculture industries. The system acts as a comprehensive framework for analyzing, monitoring, alerting and assisting the farmer at different stages of farming. The result of each sensor shows that the sensors are reliable based on the testing conducted. The system was developed and evaluated at the hatchery during the trial stage. The results collected were tabulated, analysed and have been approved by the bio-technologist from the hatchery itself. The ability to have a real time monitoring system helps farmers, especially in the aquaculture industry to improve their production outcomes, as well as gaining much better control in their operating cost and management system. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27351/1/55.%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf pdf en http://umpir.ump.edu.my/id/eprint/27351/2/55.1%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf N. S., Shamsuddin and Fahmi, Samsuri and Vigneswaran, Narayanamurthy (2019) Digital expert system for smart aquaculture farming. In: 11th Malaysian Technical Universities Conference on Engineering and Technology (MUCET 2019), 19-20 November 2019 , Kuantan, Pahang. pp. 1-7.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering N. S., Shamsuddin Fahmi, Samsuri Vigneswaran, Narayanamurthy Digital expert system for smart aquaculture farming
description	An automate aquaculture system is designed using the global system for mobile communication (GSM), a platform that connects the on-field data with farmers through short message service (SMS) of a mobile phone. This project is aimed to increase the yield of production in an aquaculture industry which is highly depends on several parameters. The element includes contents of potential hydrogens, dissolved oxygen content in water, oxygen reduction potential, water temperature, turbidity and conductivity contents. The other parameters that may affect the system are algae production, predators and etc. the developed system is to monitors all these parameters including suggesting any counter measurement needed to ease the farmers’ job scope. The global positioning system (GPS) is embedded together in order to attain the latitude and longitude values of the location of the field. It will then be compared to the existing database to obtain the location of the system. The parameters are monitored using different sets of sensors. The system is to ensure a developed real time-based monitoring system in which will provide expert suggestions and assistance in order to obtain maximum production in aquaculture industries. The system acts as a comprehensive framework for analyzing, monitoring, alerting and assisting the farmer at different stages of farming. The result of each sensor shows that the sensors are reliable based on the testing conducted. The system was developed and evaluated at the hatchery during the trial stage. The results collected were tabulated, analysed and have been approved by the bio-technologist from the hatchery itself. The ability to have a real time monitoring system helps farmers, especially in the aquaculture industry to improve their production outcomes, as well as gaining much better control in their operating cost and management system.
format	Conference or Workshop Item
author	N. S., Shamsuddin Fahmi, Samsuri Vigneswaran, Narayanamurthy
author_facet	N. S., Shamsuddin Fahmi, Samsuri Vigneswaran, Narayanamurthy
author_sort	N. S., Shamsuddin
title	Digital expert system for smart aquaculture farming
title_short	Digital expert system for smart aquaculture farming
title_full	Digital expert system for smart aquaculture farming
title_fullStr	Digital expert system for smart aquaculture farming
title_full_unstemmed	Digital expert system for smart aquaculture farming
title_sort	digital expert system for smart aquaculture farming
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27351/ http://umpir.ump.edu.my/id/eprint/27351/1/55.%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf http://umpir.ump.edu.my/id/eprint/27351/2/55.1%20Digital%20expert%20system%20for%20smart%20aquaculture%20farming.pdf
first_indexed	2023-09-18T22:42:57Z
last_indexed	2023-09-18T22:42:57Z
_version_	1777417037036912640

Digital expert system for smart aquaculture farming

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