From the yard and the lab
Clear answers about cattle monitoring, feedlot operations, and livestock research.
1–9 of 80 articles
Work out camera-video capacity from recorded bitrate, stream count and retention days, with a four-stream example and the questions that turn raw disk space into a useful feedlot archive.
A 2026 aquaculture study used paired underwater views, fish landmarks, and reference measurements to estimate length. Here is what researchers should check before treating video as a measurement.
A Journal of Animal Science case trained a six-grade bunk model with 183 labeled images, then checked it on a separate 7,905-image set. Here is what the result means for a research plan.
A cattle-video study found agreement depended on the behavior being counted. See what researchers should validate before treating recorded footage and live observation as interchangeable.
One feedlot study recorded brush use across 107 days without a decline. Learn how researchers can distinguish an early peak from repeated group-level use, and what video can and cannot contribute.
Before counting cattle or video frames, define what receives the treatment. A practical guide to experimental units, repeated observations, and sample-size planning in feedlot research.
A recent Texas university facility announcement highlights a practical research question: define the measurement plan before choosing the camera or AI model.
Compare fixed cameras and mobile drone observations for cattle research. See the documented Tuskegee camera installation and how to match each view to a study question.
How did a 2026 feedlot study predict cattle feed intake? See the measured feeder data it used and where cattle-camera views fit in a university research design.