Undergraduate

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Browsing Undergraduate by Adviser "DR. KHAVEE AGUSTUS W. BOTANGEN"

Now showing 1 - 4 of 4
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    ENHANCING GOAT MILKING RECORD MANAGEMENT THROUGH METRICS GENERATION AND VISUAL ANALYTICS
    (2024-05-30) Dela Cruz, Ivan D.; Hernandez, Robert Austin B.; Sta. Ana, Harvey A.
    Milking records are essential in livestock management as they provide critical data on animal health, productivity, and overall farm profitability. This study developed an Enhanced Milking Record System designed to streamline data collection and analysis for improved farm operations. Integrated into an existing RFID-based infrastructure, the system uses RFID tags to identify individual goats and incorporates a web-based application for efficient data entry, record management, and interactive visualizations. Core features include yield summaries categorized by daily, monthly, and yearly outputs; AM/PM milking comparisons; unit conversions; and lactation tracking. The system’s enhancements address previous limitations by eliminating manual computation, expanding data visualization capabilities, and enabling real-time analysis. System testing and five client validation meetings with the Small Ruminant Center (SRC) confirmed that the solution aligned well with operational needs and workflows. As a result, the Enhanced Milking Record System significantly improved record-keeping accuracy, reduced human error, and transformed raw data into actionable insights. These improvements empower SRC staff to monitor production trends, detect anomalies, and make informed, data-driven decisions to enhance livestock productivity.
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    EVAPOTRANSPIRATION-BASED SMART IRRIGATION SYSTEM
    (2024-05-31) Ballesteros, John Aeron M.; Balala, Danna Mae A.; Membrado, Valerie Joy R.
    In the context of increasing agricultural demands and climate variability, efficient irrigation systems are essential for sustainable crop production. This study aims to design and develop an evapotranspiration-based irrigation scheduler for smart irrigation systems. By integrating sensors and advanced technologies, the system enhances water-use efficiency and optimizes irrigation practices. The project includes the development of a cloud-based monitoring platform, offline data logging capabilities, and the deployment of a mini weather station to estimate evapotranspiration rates. This integrated approach shows significant promise for improving agricultural productivity and sustainable water resource management. Performance analysis indicates considerable water savings and improved crop yields, demonstrating the practical viability and scalability of the system for large-scale agricultural applications.
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    IoT-Based Automated Fish Feeder and Caller for CLSU College of Fisheries using Arduino and Blynk Application
    (2024-06-03) Corpus, John Dyniel T.; Ramos, Vincent A.; Riman, Karlo Keith B.
    Fishes necessitate careful attention concerning their food intake, feeding schedules, and environmental conditions, such as temperature fluctuations. To address these challenges and enhance fish care in the fish ponds of the CLSU College of Fisheries, this study proposes the development of an automated fish feeder and caller system. The main objective is to introduce automation into the process to reduce reliance on human efforts. This capstone project directly contributes to Sustainable Development Goal (SDG) 14 by aiming to enhance the sustainable management and conservation of aquatic resources, specifically within aquaculture. Through the creation of an automated fish feeder and caller system, the project seeks to implement innovative technologies that optimize feeding accuracy, reduce resource wastage, and mitigate environmental impact. By improving the efficiency and effectiveness of fish farming practices, the project supports responsible resource management, economic viability, and ecological balance in aquatic ecosystems. This initiative aligns with the global pursuit of SDG 14, which ensures the long-term sustainability and health of life below water. The proposed system encompasses a feeding and calling mechanism that can be conveniently programmed and remotely controlled via a mobile application, leveraging Internet of Things (IoT) technology. By harnessing this IoT-based automation, the fish feeder and caller can be tailored to adhere to precise feeding schedules or activated on demand. The system ensures that the fish congregate at the designated feeding area through a calling mechanism employing automatic bell ringing, which guarantees timely and adequate nourishment.
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    PUV Identifier for Queueing System of San Jose City Central Terminal using RFID
    (2024-06-04) Andres, Genald S.; Dator, John Rafael C.; Nodora, Marvin Derick M.
    The San Jose City Central Terminal has been integrating digitalization through RFID technologies, providing more effective and efficient services in its queueing system. RFID provides a promising solution of combined technology and public transportation. Upon utilizing RFID cards equipped by public utility vehicle drivers, the queueing system can efficiently track its route, providing accurate and real-time information. This study has designed and developed an automated queueing system for the San Jose City Terminal using RFID. The system has two major components. First, is the RFID scanning that integrates RFID technology to replace the manual writing of PUV Detail/s. Second, is the Web-based application component that serves as the interface to manage the RFID readers and the data captured by the readers. The prototype of the system was successfully deployed, simulating the actual use in the queueing workflow of the terminal.