PS2-15. Multimodal Video and Audio Signal Processing for Estimating Cattle Forage Intake.

Clicks: 12
ID: 330399
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #606 of 847 articles by views in italian journal of animal science

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 847 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Accurate quantification of forage intake and rumen digesta during grazing is important for nutrition research but remains difficult to measure at scale. This pilot study evaluated whether contactless video and audio recordings collected during grazing contain kinematic and acoustic signatures that can be related to forage disappearance and rumen digesta dry matter measured via cannulation. Two Angus cattle were recorded across three days during controlled feeding trials in which cereal rye was presented in ground-level pots (three pots per animal per day) and consumed while a fixed-position action camera captured video with onboard audio. Jaw and head keypoints were tracked from video using SLEAP, and grazing-associated audio features were extracted from the video soundtrack using standard digital signal processing implemented in librosa. Features linked to biting events were used as inputs to a linear regression model to estimate forage dry matter disappearance and rumen digesta dry matter recovered after each trial. In this pilot dataset, recovered rumen digesta dry matter was highly correlated with forage disappearance (R² = 0.99), supporting the use of disappearance as a closely aligned intake-related endpoint under these controlled conditions. The results motivate expanded validation across more animals, forage types, and grazing conditions to assess model generalizability and the potential for contactless intake-related monitoring using invasive ground truth for calibration. For image description, please refer to the figure legend and surrounding text. For image description, please refer to the figure legend and surrounding text.
Reference Key
openalex_W7214748217 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Alin Khaliduzzaman, Diego Batista Xavier, Isabella Cardoso Ferreira da Silva Condotta
Are you one of these authors? Claim your profile
Journal italian journal of animal science
Year 2026
DOI
10.1093/jas/skag272.555
URL
https://doi.org/10.1093/jas/skag272.555
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.