Development of a Mobile Application for Automated Scrotal Circumference Measurement in Beef Bulls Using iPhone LiDAR and Deep Learning

Mobile app development for a real world biological use case. Involves machine learning, image processing and app development as part of a research project.

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Within the ZYGOTE project framework (https://www.inn.no/english/research/research-projects/zygote/), this master's project addresses the specific needs of TYR, a national breeding organisation for Norwegian beef producers. TYR is responsible for the national breeding program of five beef cattle breeds (Aberdeen Angus, Charolais, Hereford, Limousin, and Simmental), where bull calves are tested at performance stations and the best are selected for the semen production station. Scrotal circumference (SC) measurement is an integral part of this selection process. This project focuses on developing a practical mobile application for automated scrotal circumference (SC) measurement in beef bulls using iPhone LiDAR technology. The work builds on existing research and utilises pre-developed deep learning models and algorithms created by the supervisory team to create a field-ready solution that directly supports TYR's breeding evaluation processes, improving efficiency while maintaining animal welfare standards. The master's student will concentrate on mobile app development, integrating the provided U-Net models and measurement algorithms into a user-friendly iOS application. The focus is on creating a portable, field-ready solution that can incorporate existing computer vision models for practical use in commercial breeding operations.

Goal

To develop a complete mobile iOS application that integrates existing deep learning models and algorithms to enable accurate, automated scrotal circumference measurement of beef bulls in field conditions.

Learning outcome

Mobile App Development
Model Integration
3D Data Processing
User Interface Design
Agricultural Technology Application

Qualifications

Python programming
Swift programming is an advantage

Supervisors

Michael Riegler

Collaboration partners