000			03655nam a22003497a 4500
003			OSt
005			20240306054908.0
008			240306b ||||| |||| 00| 0 eng d
040			_bEnglish. _cCvSU-CCAT Campus Library. _erda.
050			_aUM TK 7872.D48 _bC39 2022
100			_aCayetano, Marian Allyssa S., author _99033
245			_aSolar powered automated aquaculture monitoring and filtration of heavy mentals in reshwater / _cMarian Allysa S. Cayetano, Vergilio T. Mina, John Airon A. Morano, and Kimchin E. Palomar.
260			_aRosario, Cavite : _bCavite State University-CCAT Campus, _c2022.
300			_axvi, 62 leaves : _billustrations ; _c28 cm
500			_aA design project (BSEE)--Cavite State University-CCAT Campus, 2022.
504			_aIncludes bibliographical references and appendices.
520			_aMARIANE ALLYSSA S. CAYETANO, VERGILLO T. MINA, JOHN AIRON A. MORANO, AND KIMCHIN E PALOMAR. This study would not have been possible without the collaboration of various individuals who pooled their resources and ideas to make this endeavor a reality. Undergraduate Design Project. Bachelor of Science in Electrical Engineering. Cavite State University -Cavite College of Arts and trades, Rosario, Cavite, June 2022. adviser: Engr. Joel C. Gammayao. Technical Critic: Engr. Michael M, Ramos This study aimed to make the monitoring and filtration process for possible detection of heavy metals more convenient and to introduce modern technology to traditional aquafarmers. This is an innovative water monitoring and filtration with GSM-based technology that supports production of good quality of fish farm products. and food safety. The study composed of three primary system which are power supply monitoring system, and filtration system. It was designed and fabricated with a total dimension of 100cm x 50 cm x 2.54cm. The machine was tested, specifically the individual sensors used to monitor water, for its functionality through speed and accuracy test. For the analysis and evaluation of the data collected after testing, a statistical instrument was used. Furthermore, the data was transformed into descriptive statistic that is used to examine and bring a conclusion to the data. The testing results show that the average reading after 30seconds are 8.91, 4.72 NTU, and 1510.8 ppm for pH, turbidity , and TDS respectively. Meanwhile, after 60s seconds the readings for pH, turbidity, and TDS are 8.94, 4.63 NTU, and 1495 ppm respectively. Lastly after 90 seconds the reading for pH is 8.99, turbidity is 4.87, and TDS is 1494.22 ppm. Based from the findings of this study, it was concluded that developing an automated aquaculture monitoring and filtration technology can be helpful to aquafarmers in securing production of aquafarm products free from possible contamination of toxic substances, specifically heavy metals. Sensor in this study were effectively used in monitoring the water and determining if set parameters were exceeded. The study cost almost ₱33,766.00
546			_aIn English text.
650			_aWater purification. _99034
650			_aWater treatment. _95210
650			_aHeavy metal removal. _99035
650			_aMonitoring. _95482
650			_aWater remote sensing. _99036
650			_aDetectors. _94871
700			_aMina, Vergilio T., author. _99037
700			_aMorano, John Airon A., author. _99038
700			_aPalomar, Kimchin E., author. _99039
700			_aGammayao, Joel C., adviser. _99040
700			_aRamos, Michael Jr M., technical critic. _99041
942			_2lcc _cT/M/D _hTK 7872.D48 C39 2022 _kUM
999			_c2729 _d2729