000			03174nam a22003137a 4500
003			OSt
005			20220629203746.0
008			220629b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TA 1634 _bG37 2019
100			_aGarcia, John Michael S., author. _95793
245			_aAutomated Fish Sorting and Harvesting System for Nile Tilapia (Oreochromis Niloticus) Using Computer Vision / _cJohn Michael S. Garcia and Rowilyn B. Cortez.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2019
300			_ax, 35 leaves : _billustrations ; _c28 cm
500			_aDesign Project (BSCpE)--Cavite State University-CCAT Campus, 2019.
504			_aIncludes bibliographical references and appendices.
520			_aGARCIA, 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. 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. 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.
650			_aComputer vision. _95544
650			_aAugmented reality. _95794
650			_aiOS (Electronic resource). _95795
650			_aArtificial intelligence _xAquaculture applications. _95796
650			_aImage processing. _95797
650			_aFish sorting _xAutomation. _95798
700			_aCortez, Rowilyn B., author. _95799
700			_aDharma, John Michael M., adviser. _95766
700			_aBartolome, Gee Jay C., critic. _95643
942			_2lcc _cT/M/D _hTA 1634 _iG37 2019 _kUM
999			_c1798 _d1798