Back to results

Texas Tech University

Big data technology adoption in dairy and beef production

Abstract

dc:description.abstract

The US plays a fundamental role in the worldwide supply of beef and dairy products, and it will continue to play an important role to meet the increasing global demand. The cattle industry has integrated sophisticated technological solutions into the production process, known as Precision Livestock Farming (PLF), which includes sensors, big data analytics, and robotics. Specifically, big data technology can enhance production and reduce illness-related losses by providing real-time insights from the whole farm operation by integrating and analyzing all the data generated. However, because this technology is in an early stage, little is known about farmer perceptions and determinants for its adoption. A qualitative study identifies current dairy farmers’ current perceptions, barriers, motivators, features, and benefits expected from the adoption of big data technology. The results show that increasing profit and early disease detection are the primary motivators of adopting big data technology. Moreover, dairy producers expect a friendly user platform, intuitive and capable of integrating all the data in one place. A quantitative study identifies the factors that affect the drivers for adopting big data technology in the beef industry and the willingness to pay. The results indicate that farmer age, herd size, and previous digital technologies implementation affected big data technology adoption. Results also suggest that beef farmers are willing to pay no more than $227 per month for a big data platform.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Agricultural and Applied Economics
Grantor
Texas Tech University
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pina, Rolando
Chair dc:contributor.committeechair
  • Lange, Kelly
Committee members dc:contributor.committeemember
  • Bratcher, Christy
  • Machado, Vinicius

Subjects

dc:subject × 13

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/2346/90067
OAI identifier oai:identifier
oai:ttu-ir.tdl.org:2346/90067

Chain of custody

source
Harvested from
Texas Technology University
Base URL
ttu-ir.tdl.org/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Pina, Rolando. Big data technology adoption in dairy and beef production. Masters thesis, Texas Tech University, 2022. https://hdl.handle.net/2346/90067