Trust and methodology

How We Research, Document, and Correct Our Work.

We lead with documented field facts and publish practical guidance for feedlot operators and researchers. Our work is sourced, dated, reviewed, and corrected when material facts change.

Published and reviewed July 31, 2026

The short answer

Livestock Technologies documents independent evidence, first-party field facts, and current product capability status. We link to original sources where practical, preserve original publication dates, show substantive review dates, and correct material errors in the article.

How an article is prepared

  1. 1. Define the reader question

    Each article should answer a real operator or researcher question, not a manufactured search variation.

  2. 2. Gather primary evidence

    We prefer USDA, extension, university, standards-body, and peer-reviewed sources over summaries.

  3. 3. Separate evidence types

    Independent findings are not presented as Livestock Technologies field results. Company field observations are labeled as first-party.

  4. 4. Review capability language

    Product statements are checked against the current capability status below before publication or material revision.

  5. 5. Publish visible support

    Important definitions, limitations, sources, dates, and related resources remain in crawlable page text.

  6. 6. Revisit time-sensitive facts

    Market, disease, regulation, and program details receive an as-of date and links to the controlling source.

Current capability status

These statements summarize what is available today, what is documented in the field, and what is measured per deployment or study.

AreaAvailable todayDocumented evidenceMeasured per deployment or study
Feedlot inventoryObserved pen counts, expected-versus-observed reconciliation, movement exceptions, and reviewable camera evidence.Field-built camera, compute, and review workflows support the inventory evidence layer.Performance is measured for the coverage and operating workflow designed for each deployment or study.
Nose ID identity workflowsControlled-chute capture of face, muzzle, and ear-tag views; muzzle segmentation and reference-gallery creation.Chute imagery creates time-stamped visual references alongside known animal records.Matching performance is measured by protocol.
Behavior and thermal reviewVisible behavior, zone use, movement, and surface-temperature evidence for review.Synchronized RGB and thermal imagery provide field context across configured views.Study measures are evaluated for the deployment or study question.
Field deploymentSolar-powered RGB and thermal capture, wireless backhaul, and on-site processing.The Tuskegee University research feedlot installation documents these field infrastructure components.Outcome-specific performance is measured per deployment or study.

Source hierarchy

  • Controlling government or standards source
  • Original peer-reviewed research
  • University or cooperative-extension guidance
  • Named first-party field report or methodology
  • Reputable secondary reporting, clearly labeled

Corrections and updates

We correct material factual or capability errors in the article and update its visible review date. Original publication dates remain unchanged.

To report an issue, include the page, statement, and supporting source through our contact page.

Who is responsible

Livestock Technologies is the organizational author unless an article names an individual author. Product and field statements are reviewed against current company documentation; independent findings remain attributed to their original source.