MARC details
| 000 -LEADER |
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| fixed length control field |
03843nam a22003377a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250710164427.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250710b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH QA 76.9 |
| Item number |
C36 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Canto, Trishalyn B. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Development of iot monitoring system for pig pens/ |
| Statement of responsibility, etc. |
Trishalyn B. Canto, Angelo James L. Forbes, Stephen Gabriel T. Onahon, Carlos Alfonzo R. Rumbaoa, Jay Mark M. Santos, and Leoniel R. Valenzuela.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 132pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis<br/><br/><br/> |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College of Industrial Technology.--<br/> |
| Degree type |
Bachelor of engineering technology major in computer engineering technology: |
| Name of granting institution |
Technological University of the Philippines,<br/> |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Small-scale piggery operations, backyard pigpens, face significant challenges including<br/>too much labor work, poor waste management, and inconsistent feeding practices that<br/>impact animal welfare and operational efficiency. Traditional backyard farming<br/>environments often lack proper monitoring systems, leading to not ideal conditions of<br/>pigpen and increased health risks for livestock. With this, the researchers intended to<br/>address these limitations by developing IoT Monitoring for pig pens. An integrated<br/>monitoring system tailored specifically for small-scale piggery operations like the<br/>backyard piggery farms, which combines real-time environmental monitoring, automated<br/>farm management, and remote supervision capabilities. The system integrates MQ-135 gas<br/>sensors for ammonia level detection and DHT11 sensors for temperature and humidity<br/>tracking, along with ESP32-CAM modules for live video streaming and a comprehensive<br/>mobile application interface. The prototype was developed using the Agile Scrum<br/>methodology with iterative sprints, daily stand-ups, and continuous feedback integration<br/>to ensure alignment with user requirements. The researchers conducted extensive testing<br/>including unit tests, integration assessments, performance evaluations, user acceptance<br/>testing with farmers, and on-site trials in actual pigpen environments. Results demonstrate<br/>that the system adheres to ISO 25010 software quality standards with strong performance<br/>across key metrics, particularly, functionality, accuracy, and reliability. The MQ-135 gas<br/>sensor showed an average percentage error of 2.88% compared to reference ammonia<br/>levels, while the DHT11 resulted an average percentage error of 2.10% for temperature<br/>and 1.83% for humidity, confirming high sensor reliability. Software testing using a<br/>structured test matrix for core features such as user login, sensor display, and automated<br/>controls yielded an average pass rate of 100%, verifying expected behavior and functional<br/>correctness. The mobile application provides real-time sensor readings, manual controls,<br/>automation features for cleaning and feeding, and alert notifications when environmental<br/>thresholds are exceeded. This innovation contributes to enhanced animal welfare,<br/>improved operational efficiency, and sustainable pig pen management through intelligent<br/>IoT connectivity and remote monitoring capabilities, aligning with modern agricultural<br/>technology standards and practical farming needs. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
DHT 11 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
PigPen IoT |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
ISO 25010 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Forbes, Angelo James L. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Onahon, Stephen Gabriel T. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rumbaoa, Carlos Alfonzo R. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Santos, Jay Mark M. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Valenzuela, Leoniel R. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis CIT |
| Suppress in OPAC |
No |