Optimizing Brackishwater Shrimp Farming with IoT-Enabled Water Quality Monitoring and Decision Support System

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Publicat a:Thalassas vol. 40, no. 1 (Mar 2024), p. 101
Autor principal: P, Nila Rekha
Altres autors: R, Nishan Raja, Sunny, Albin, Sarkar, Soumyabrata, R, Nedun
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Springer Nature B.V.
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Accés en línia:Citation/Abstract
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MARC

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022 |a 0212-5919 
022 |a 2366-1674 
024 7 |a 10.1007/s41208-023-00630-w  |2 doi 
035 |a 3028040363 
045 2 |b d20240301  |b d20240331 
100 1 |a P, Nila Rekha  |u ICAR-Central Institute of Brackishwater Aquaculture, Chennai, India (GRID:grid.464531.1) (ISNI:0000 0004 1755 9599) 
245 1 |a Optimizing Brackishwater Shrimp Farming with IoT-Enabled Water Quality Monitoring and Decision Support System 
260 |b Springer Nature B.V.  |c Mar 2024 
513 |a Journal Article 
520 3 |a Aquaculture plays a crucial role in coastal communities’ food, employment, and prosperity. Advancements in technology calls for real-time water quality monitoring for sustainable farming. This study aims to develop an IoT-based Analytical Hierarchy Process Decision Support System (AHP-DSS) for water quality monitoring in brackishwater shrimp farming. Two IoT-based models were developed with Raspberry pi3 and Arduino Mega2560 as microcontrollers with water quality sensors viz. pH, DO, temperature, turbidity, and salinity. AHP-based weightage was generated using the relative importance of each criterion for shrimp farming. Water quality variables were classified into highly suitable, moderately suitable, and not suitable for shrimp farming. Remote and real-time monitoring was done using Android and web applications. The water quality score for the developed model is scaled from 0–100. A comparative assessment was carried out for IoT installed pond and pond with laboratory water quality analysis. IoT installed pond provides low FCR compared to traditional water quality analysed pond. The system provides an alert when the water quality reaches below the moderately suitable threshold value. The developed system was tested in MES, ICAR-CIBA shrimp ponds, it was found to be highly useful, and it would improve shrimp production by maintaining optimum water quality in shrimp pond. 
653 |a Analytic hierarchy process 
653 |a Applications programs 
653 |a Aquaculture 
653 |a Turbidity 
653 |a Remote monitoring 
653 |a Decision support systems 
653 |a Water quality 
653 |a Shrimps 
653 |a Ponds 
653 |a Brackish water 
653 |a Water monitoring 
653 |a Polyculture (aquaculture) 
653 |a Shrimp culture 
653 |a Decision analysis 
653 |a Marine crustaceans 
653 |a Water quality management 
653 |a Optimization 
653 |a Shellfish farming 
653 |a Real time 
653 |a Sustainable agriculture 
653 |a Quality assurance 
653 |a Environmental 
700 1 |a R, Nishan Raja  |u ICAR-Central Institute of Brackishwater Aquaculture, Chennai, India (GRID:grid.464531.1) (ISNI:0000 0004 1755 9599) 
700 1 |a Sunny, Albin  |u ICAR-Central Institute of Brackishwater Aquaculture, Chennai, India (GRID:grid.464531.1) (ISNI:0000 0004 1755 9599) 
700 1 |a Sarkar, Soumyabrata  |u ICAR-Central Institute of Brackishwater Aquaculture, Chennai, India (GRID:grid.464531.1) (ISNI:0000 0004 1755 9599) 
700 1 |a R, Nedun  |u ICAR-Central Institute of Brackishwater Aquaculture, Chennai, India (GRID:grid.464531.1) (ISNI:0000 0004 1755 9599) 
773 0 |t Thalassas  |g vol. 40, no. 1 (Mar 2024), p. 101 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3028040363/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3028040363/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch