Automated Fish Sorting and Harvesting System for Nile Tilapia (Oreochromis Niloticus) Using Computer Vision / (Record no. 1798)

MARC details
000 -LEADER
fixed length control field 03174nam a22003137a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220629203746.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220629b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging English.
Transcribing agency CvSU-CCAT Campus Library.
Description conventions rda.
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number UM TA 1634
Item number G37 2019
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Garcia, John Michael S., author.
9 (RLIN) 5793
245 ## - TITLE STATEMENT
Title Automated Fish Sorting and Harvesting System for Nile Tilapia (Oreochromis Niloticus) Using Computer Vision /
Statement of responsibility, etc. John Michael S. Garcia and Rowilyn B. Cortez.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Rosario, Cavite :
Name of publisher, distributor, etc. Cavite State University-CCAT Campus,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent x, 35 leaves :
Other physical details illustrations ;
Dimensions 28 cm
500 ## - GENERAL NOTE
General note Design Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and appendices.
520 ## - SUMMARY, ETC.
Thesis Abstract <a href="GARCIA, JOHN MICHAEL S., CORTEZ, ROWILYN B. Automated Fish Sorting and Harvesting System for Nile Tilapia (Oreochromis Niloticus) Using Computer Vision. Design Project. Department of Engineering. Cavite State University-College of Arts and Trades Campus, Rosario, Cavite. January 2019, Adviser: Engr. John Michael Dharma; Technical Critic: Engr. Gee Jay C. Bartolome. <br/><br/>The study was conducted on October 2018 to develop and test the automated fish sorting and harvesting system for Nile tilapia. The study aimed to: 1) Design the hardware and software interface of the automated fish sorting and harvesting system for Nile talapia, 2) Evaluate the performance of the automated fish sorting and harvesting system in determining the following parameters: 2.1) Length, 2.2) Girth, 2.3) Mass, 2.4) Estimate the number of fishes in the fish tank, 3) Determine the accuracy of the measurements of the fish characteristics by comparison to manual measurements; and 4) Conduct cost and return analysis. <br/><br/>The automated fish sorting and harvesting system is made up of the following components: Raspberry Pi 3 Model B; Raspberry Pi NoIR Camera V2; L298N Motor Driver Board; 24V DC Geared Motor; Clear Acrylic Sheets with varying sizes and thickness: 24V 8.3A Switching Power Supply and Official Raspberry Pi 2.5A Power Supply. These components produce an automated fish sorting and harvesting system for Nile tilapia that can sort fishes into three different sizes. The system has Pi camera that has an 8-megapixel resolution and has a framerate of up to 30 frames per second. The system can measure fishes accurately and can also count the number of fishes that it is processing. The farmers can gather essential data and can sort and harvest fish remotely and can be done without much human interaction and thus lessen cost for human labor and save time.">GARCIA, JOHN MICHAEL S., CORTEZ, ROWILYN B. Automated Fish Sorting and Harvesting System for Nile Tilapia (Oreochromis Niloticus) Using Computer Vision. Design Project. Department of Engineering. Cavite State University-College of Arts and Trades Campus, Rosario, Cavite. January 2019, Adviser: Engr. John Michael Dharma; Technical Critic: Engr. Gee Jay C. Bartolome. <br/><br/>The study was conducted on October 2018 to develop and test the automated fish sorting and harvesting system for Nile tilapia. The study aimed to: 1) Design the hardware and software interface of the automated fish sorting and harvesting system for Nile talapia, 2) Evaluate the performance of the automated fish sorting and harvesting system in determining the following parameters: 2.1) Length, 2.2) Girth, 2.3) Mass, 2.4) Estimate the number of fishes in the fish tank, 3) Determine the accuracy of the measurements of the fish characteristics by comparison to manual measurements; and 4) Conduct cost and return analysis. <br/><br/>The automated fish sorting and harvesting system is made up of the following components: Raspberry Pi 3 Model B; Raspberry Pi NoIR Camera V2; L298N Motor Driver Board; 24V DC Geared Motor; Clear Acrylic Sheets with varying sizes and thickness: 24V 8.3A Switching Power Supply and Official Raspberry Pi 2.5A Power Supply. These components produce an automated fish sorting and harvesting system for Nile tilapia that can sort fishes into three different sizes. The system has Pi camera that has an 8-megapixel resolution and has a framerate of up to 30 frames per second. The system can measure fishes accurately and can also count the number of fishes that it is processing. The farmers can gather essential data and can sort and harvest fish remotely and can be done without much human interaction and thus lessen cost for human labor and save time.</a>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 5544
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Augmented reality.
9 (RLIN) 5794
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element iOS (Electronic resource).
9 (RLIN) 5795
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Aquaculture applications.
9 (RLIN) 5796
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing.
9 (RLIN) 5797
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fish sorting
General subdivision Automation.
9 (RLIN) 5798
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cortez, Rowilyn B., author.
9 (RLIN) 5799
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dharma, John Michael M., adviser.
9 (RLIN) 5766
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bartolome, Gee Jay C., critic.
9 (RLIN) 5643
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis/Manuscripts/Dissertations
Classification part TA 1634
Item part G37 2019
Call number prefix UM
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Thesis/Manuscript/Dissertation Cavite State University - CCAT Campus Cavite State University - CCAT Campus TH 06/29/2022   UM TA 1634 G37 2019 T0005201 10/24/2025 1 copy 06/29/2022 Thesis/Manuscripts/Dissertations