Honors College Senior Thesis Presentations
Optimizing Cattle Management Through Mobile Technology: The Development of MooManager
Academic Level at Time of Presentation
Senior
Major
Computer Science
List all Project Mentors & Advisor(s)
Dr. Jason Owen
Presentation Format
Oral Presentation
Abstract/Description
This presentation explores the development of MooManager, a cloud-based cattle management mobile application designed for small- to mid-sized producers. Existing digital solutions are often too complex, expensive, or impractical, leading many farmers to rely on traditional paper-based methods. MooManager addresses these challenges by offering a user-friendly, accessible alternative for herd tracking, health monitoring, and farm data management. This talk will cover the technical development process, including the tech stack, core features, and usability considerations, as well as barriers to adoption and how MooManager overcomes them. Finally, an overview of testing, evaluation, and future improvements will highlight its potential impact on efficiency and decision-making in cattle operations.
Fall Scholars Week 2024 Event
Honors College Senior Thesis Presentations
Spring Scholars Week 2025
Honors College Senior Thesis Presentations
Optimizing Cattle Management Through Mobile Technology: The Development of MooManager
This presentation explores the development of MooManager, a cloud-based cattle management mobile application designed for small- to mid-sized producers. Existing digital solutions are often too complex, expensive, or impractical, leading many farmers to rely on traditional paper-based methods. MooManager addresses these challenges by offering a user-friendly, accessible alternative for herd tracking, health monitoring, and farm data management. This talk will cover the technical development process, including the tech stack, core features, and usability considerations, as well as barriers to adoption and how MooManager overcomes them. Finally, an overview of testing, evaluation, and future improvements will highlight its potential impact on efficiency and decision-making in cattle operations.
