Development of a wireless data acquisition system for rabbit farming/ Edielain Guenn S. Camutin, Jack B. Dialogo, Dromar S. Napay, Danielle Joyce B. Pansalin, and Kyle Gerald D. Torres.--

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Camutin, Edielain Guenn S [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xiii, 121pages: 29cmContent type:

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BTH TK 5105.59 C36 2025

Dissertation note: College of Industrial Technology.-- Bachelor of engineering technology major in electronic communications technology: Technological University of the Philippines, 2025. Summary: This study developed a wireless data acquisition system to enhance rabbit farming by automating data collection and monitoring. The system integrates Near Field Communication (NFC) technology and GSM-based notifications to enable continuous tracking of individual rabbit profiles, including breed, weight, gender, date of birth, pregnancy status, mating eligibility, and food intake. Each cage is equipped with writable NFC tags that store essential rabbit information, which can be accessed and updated using an NFC-enabled device. An ESP32 microcontroller serves as the central processing unit, synchronizing data with a web-based platform that allows farmers to efficiently manage rabbit records. The system also incorporates a GSM module to send automated notifications on breeding schedules, pregnancy updates, and meat production readiness, ensuring timely decision-making. Software development utilized JavaScript for the web application and Arduino IDE for microcontroller programming. Detailed testing confirmed that NFC scanning updates profiles instantly, and GSM notifications effectively inform breeders, with minor delays observed under weak network conditions. The system was evaluated by 50 respondents, including IT specialists, breeders, and farmers, achieving high acceptability scores: 4.53 for functionality, 4.72 for durability, 4.52 for workability, and 4.45 for economic efficiency, with an overall mean of 4.44 and a descriptive rating of “Very Good/Very Acceptable.” Based on the evaluation, the study concludes that an IoT- driven approach optimizes rabbit farm management, contributing to sustainable and efficient livestock farming.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH TK 5105.59 (Browse shelf(Opens below))	c.1	Not for loan		BTH0006280

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in electronic communications technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This study developed a wireless data acquisition system to enhance rabbit farming by
automating data collection and monitoring. The system integrates Near Field
Communication (NFC) technology and GSM-based notifications to enable continuous
tracking of individual rabbit profiles, including breed, weight, gender, date of birth,
pregnancy status, mating eligibility, and food intake. Each cage is equipped with writable
NFC tags that store essential rabbit information, which can be accessed and updated using
an NFC-enabled device. An ESP32 microcontroller serves as the central processing unit,
synchronizing data with a web-based platform that allows farmers to efficiently manage
rabbit records. The system also incorporates a GSM module to send automated
notifications on breeding schedules, pregnancy updates, and meat production readiness,
ensuring timely decision-making. Software development utilized JavaScript for the web
application and Arduino IDE for microcontroller programming. Detailed testing confirmed
that NFC scanning updates profiles instantly, and GSM notifications effectively inform
breeders, with minor delays observed under weak network conditions. The system was
evaluated by 50 respondents, including IT specialists, breeders, and farmers, achieving
high acceptability scores: 4.53 for functionality, 4.72 for durability, 4.52 for workability,
and 4.45 for economic efficiency, with an overall mean of 4.44 and a descriptive rating of “Very Good/Very Acceptable.” Based on the evaluation, the study concludes that an IoT- driven approach optimizes rabbit farm management, contributing to sustainable and efficient livestock farming.

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