Doe
Wearable Wireless Sensor for Goat Estrus Detection
Existing devices for monitoring estrous cycles of does focus on properties prone to changes caused by external factors and apply the single-parameter analysis approach thus, become subject to error. Furthermore, the increasing demand for goats will lead to time-consuming and labor-intensive individual and herd estrous monitoring. Therefore, a wearable sensor is needed to wirelessly send information on the relevant properties from the vaginal fluid that will dictate the status of estrous cycle of each goat to a computer software operated by the breeder.
Expected Output
- One (1) Wearable Sensor Prototype
- Integration of use of 3 sensors (pH, Conductivity, Temperature)
- Data monitoring display on mobile application interface
Significance: Aid Timing for Artificial Insemination
- Standing heat lasts for 24 to 36 hours but ovulation occurs within 6 hours before the end up to 12 hours after the end of standing estrus
Significance: Multi-Parameter Analysis
- Integrating sensors for chemical parameters relevant to the goat's estrus specifically temperature, conductivity, and acidity
Significance: Wireless and Accessible
- Mobile software interface that can retrieve, record, and display the information transmitted
Significance: Manufacturable and Cost Effective
- Conduct a preliminary assessment of manufacturability and cost of the final design
Significance: Standardized
- Determine the range of values of each parameter that will indicate peak estrus through clinical testing and analysis
Methodology
Conceptual Framework
Project Documentation
Photos and videos from the project.
Project images coming soon
Project Team
- Danica Mitch Pacis, MScLead Researcher
- Ryan Vicerra, PhDResearch Faculty
- Drexel Camacho, PhDResearch Faculty
- Homer Co, MScResearch Faculty
- Jonathan Nayga, PhDResearch Faculty
- Aubrey Balbin, MScResearch Faculty
- Jarl Joshue Taggueg, DVMVeterinary Collaborator
- Engr. Ruther Maica GonzalesResearch Associate
- Tanya OlegarioResearch Associate
- Paula ValerioResearch Associate
- Kenbert Ting, MGResearch Associate
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