Taking off from the last deployment of the Sensing Environmental Parameters through Telemetry (SENTRY) project last 2015, DOST-CALABARZON has partnered with the Laguna State Polytechnic University of Los Baños (LSPU-LB) to launch a leveled up version of this system now called the Enhanced Sensing Environmental Parameters through Telemetry (e-SENTRY). The launch of the e-SENTRY was conducted last 30 January 2023 at the Alligator Lake in Barangay Tadlac, Los Baños, Laguna.
The activity aimed to deploy e-SENTRY to aid in the monitoring of lakewater quality for the people of Tadlac. Through DOST-CALABARZON’s support, the said system will now be led and implemented by the LSPU College of Computer Science under the project, “Integration of Predictive Environmental Models Using Deep Learning Analytics in the Systems Implementation-Design” and is set to be further deployed in other areas.
Key officials were present to give their messages of support including Ms. Emelita P. Bagsit, Regional Director of DOST-CALABARZON; Engr. Francisco R. Barquilla III, Assistant Regional Director for Technical Operations of DOST-CALABARZON; Dr. Bobby Agatep, Vice President for Research and Development to represent Dr. Mario R. Briones, University President of the LSPU System; Engr. Manuel Luis R. Alvares, Campus Director of LSPU-LB; and Mr. Jonardo R. Asor, Project Leader of e-SENTRY.
A ribbon cutting was conducted after each message. Hon. Ambito L. Meneses also gave their Closing Remarks.
In his message, Hon. Meneses expressed the need to look for alternative sources of drinking water for the community of Tadlac. The e-SENTRY, through its various water quality parameters and meteorological datasets, is built to estimate the ecological carrying capacity (ECC) of lakes which can help in strategizing approaches in lake management, aquaculture development, and ecotourism.
For 2023, the e-SENTRY project targets to gather water quality (through the SENTRY stations) and meteorological datasets (from DOST-PAGASA) to construct robust predictive simulation models based on deep learning algorithms to estimate ECC of lakes. The project is also developing an application software for end-users, such as water monitoring and regulatory agencies, including Local Government Units, to monitor the data gathered by SENTRY stations.
To date, the project has already developed an information system prototype, and has been slowly building an online lake database. The project is anticipated to be completed in August 2023. PR
