000			03082nam a22003377a 4500
003			OSt
005			20260318105542.0
008			260318b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 147 _bL55 2026
100			_aLILANG III, BLAS M. _eAuthor
245			_aDevelopment of pond management system for catfish production/ _cBlas M Lilang III, Kurt Ryu S. Orazon, Rhunxell Ryan S Sta. Maria, Kemberly M. Brutas, and Nathaniel A. Alcantara..--
260			_aMANILA _bTECHNOLOGICAL UNIVERSITY OF THE PHILIPPINES _c2026
300			_ax, 73 pages: _c29 cm
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's Thesis
502			_aCollege of Industrial Technology.-- _bBachelor of Engineering Technology major in Electrical Technology: _cTechnological University of the Philippines, _d2026
504			_aIncludes bibliographic references and index.
520			_aCatfish farming in the Philippines has been increasing due to government support and the demand for sustainable food sources. However, manual pond management remains labor intensive and dependent on farmer’s experience. Existing solutions, such as manual water exchange and hand feeding, are time-consuming, subjective, and require constant supervision. The researchers addressed these opportunities by designing and developing a Pond Management System for Catfish Production in concrete ponds, equipped with sensors to monitor water parameters such as pH, ammonia, dissolved oxygen, and temperature. The system integrates both manual and automated modes, with features for feeding, water refilling, draining, and pH control, supported by a touchscreen monitor for real-time data display. The researchers utilized a prototyping approach and agile scrum methodology to attain the research objectives. Then, the researchers tested and analyzed the system in terms of functional accuracy through hypothesis testing techniques. Test results showed that the sensors accurately detected deviations in water quality and the automated responses successfully restored parameters to their optimum ranges. On the contrary, the researchers found that manual intervention was still necessary in cases of sensor failure or extreme conditions. The results proved that the system is capable of maintaining pond conditions within desirable ranges, reducing labor, and enhancing efficiency. This innovation benefits local catfish farmers and the aquaculture community in general by contributing to sustainable production practices. Keywords: Catfish Pond Management System, Automation, Water Quality Monitoring, Aquaculture, DA-BFAR Agenda
650			_aElectrical Technology
650			_aCatfish Pond Management System,
650			_aCatfish Pond Management System,
650			_aDA-BFAR Agenda
700			_aOrazon, Kurt Ryu S. _eAuthor
700			_aSta. Maria, Rhunxell Ryan S. _eAuthor
700			_aBrutas, Kemberly M. _eAuthor
700			_aAlcantara, Nathaniel A. _eAuthor
942			_2lcc _cBTH CIT _n0
999			_c31352 _d31352