Development of iot estrus detecting device for cows/ Mikelle C. Bandin, Enrico Miguel S. Bonafus, Clarisse Joy A. Capistrano, and Christian O. San Sebastian.--

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Bandin Mikelle C [Author ]

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Material type: Text

TextPublication details: Manila; Technological University of the Philippines, 2020Description: ii, 29cmContent type:

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BTH T 58.5 B36 2020

Dissertation note: College of Industrial Technology,-- Bachelor of technology major in information technology: Technological University of the Philippines. 2020. Summary: The study entitled the “Development of IoT Estrus Detecting Device for Cows” aims to provide an effective way of detecting cow estrus for efficient artificial insemination using sensor technologies for detecting cow estrus signs. The prototype consists of a wearable device that focuses only on tracking excessive movement and successful mounting, which is the two primary signs of cow estrus, and an android mobile application for viewing of the gathered data. ESP8266 WiFi module is used as the main module of the device to process gathered data and transmit to the local host server. The locally hosted database is running on MySQL and PHP. As for the sensors, an accelerometer sensor is used to track movements and an infrared sensor for detection of every successful mount. Both sensors are attached to the ESP8266 WiFi module and programmed using Arduino while the Android mobile application was developed using Unity and C# programming language. The application requires the administrator to sign-in first in order to gain access of the features of the application. Functionality test was used to determine if the system has integrated all the required functionalities, design considerations, and functional requirements.

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Holdings
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 T 58.5 B36 2020 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0003739

Bachelor's Thesis

College of Industrial Technology,-- Bachelor of technology major in information technology: Technological University of the Philippines. 2020.

Includes bibliographic references and index.

The study entitled the “Development of IoT Estrus Detecting Device for Cows” aims to
provide an effective way of detecting cow estrus for efficient artificial insemination using
sensor technologies for detecting cow estrus signs. The prototype consists of a wearable
device that focuses only on tracking excessive movement and successful mounting, which
is the two primary signs of cow estrus, and an android mobile application for viewing of
the gathered data. ESP8266 WiFi module is used as the main module of the device to
process gathered data and transmit to the local host server. The locally hosted database is
running on MySQL and PHP. As for the sensors, an accelerometer sensor is used to track
movements and an infrared sensor for detection of every successful mount. Both sensors
are attached to the ESP8266 WiFi module and programmed using Arduino while the
Android mobile application was developed using Unity and C# programming language.
The application requires the administrator to sign-in first in order to gain access of the
features of the application. Functionality test was used to determine if the system has
integrated all the required functionalities, design considerations, and functional
requirements.

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