Development of Iot based automated aquaponics system for water quality monitoring and control (Record no. 308657)

000 -LEADER
fixed length control field 02147nam a22002057a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 631.3
Item number RAC/DE PG
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rachana, V V
245 ## - TITLE STATEMENT
Title Development of Iot based automated aquaponics system for water quality monitoring and control
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Tavanur
Name of publisher, distributor, etc Department of Soil and Water Conservation Engineering, Kelappaji College of Agricultural Engineering and Food Technology
Date of publication, distribution, etc 2025
300 ## - PHYSICAL DESCRIPTION
Extent 134p.
502 ## - DISSERTATION NOTE
Dissertation note M.tech
520 3# - SUMMARY, ETC.
Abstract This study developed and implemented an IoT-based automated aquaponics system designed to optimize water quality management and reduce manual intervention. The aquaponics system utilized a NFT grow bed, with a 1:2 ratio between the fish tank and grow bed size. 500 L fish tank was selected to accommodate 25 fishes, and a 1 m2 grow bed area was used for 48 plants. To ensure a sustainable nutrient cycle, a filter was installed to convert fish waste ammonia into nitrate, which serves as a vital nutrient for plant growth. Water was circulated using a pump with a head height of 2.7 m, and actuators were employed to regulate critical parameters such as pH, temperature, EC, and DO. IoT technology was integrated into the system to monitor water quality parameters. IoT sensors continuously monitored the critical water parameters which are essential for the health of fish and plants. A PIC microcontroller facilitated automated data acquisition, transmitting real-time data via a GSM module to the ThingSpeak cloud platform. Based on predefined thresholds, automatic adjustments were made through solenoid valves, aerators, and pH regulators to maintain optimal conditions. Alerts were also sent to the user's smartphone when abnormal values were detected. Over a three month period, the system effectively maintained water quality within the optimal ranges (DO >5.5 mg L-1, pH 6.5-7.5, temperature 22-32°C and EC
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated aquaponics system
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Aquaponics system
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Water quality monitoring and control
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Water quality
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jinu, A (Guide)
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://krishikosh.egranth.ac.in/handle/1/5810227159
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Theses
Holdings
Not for loan Collection code Permanent location Current location Shelving location Date acquired Full call number Barcode Date last seen Koha item type
Not For Loan Thesis KAU Central Library, Thrissur KAU Central Library, Thrissur Technical Processing Division 2025-08-19 631.3 RAC/DE PG 176562 2025-08-19 Theses
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