Date on Honors Thesis

Spring 5-9-2025

Major

Computer Science

Examining Committee Member

Dr. Jason Owen, Advisor

Examining Committee Member

Dr. Matthew Tennyson, Committee Member

Examining Committee Member

Dr. Zheng Zhang, Committee Member

Abstract/Description

Small-scale cattle producers face persistent challenges in adopting digital tools for herd management, often due to barriers such as limited digital literacy, software complexity, and poor alignment with practical workflows. Existing literature highlights the potential benefits of mobile applications in agricultural contexts, yet adoption rates remain low among smaller operations. This thesis investigates how a streamlined, mobile-first application can address these adoption barriers while supporting essential farm management tasks. The study details the design and development of MooManager, a mobile application built with React Native and Supabase and structured around core features such as cattle tracking, beef sales logging, and role-based user access. Methods included iterative interface design, unit and integration testing, and preliminary usability evaluation with a representative end user. The implementation of the application indicates that simplifying feature sets and prioritizing accessibility can meaningfully reduce the entry threshold for digital adoption in livestock settings. MooManager serves as both a functional tool for small-scale producers and a design case study for user-centered agricultural technology.

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