BovineTalk

There is a need to develop non-invasive animal-based indicators of affective states in livestock species, such as using vocal indicators. Cows produce low-frequency calls for close distance contacts and high-frequency calls for long distance communication, which are largely associated with negative affective states. Dairy cows facing negative challenges and stressors make vocalizations during negative affective states of special interest for research. A pre-processed dataset of n=20 lactating adult multiparous dairy cows during negative affective states induced by visual isolation challenges is provided.

Pure Nim score 15/100 · last commit 2023-07-25 · 2 stars · tests present · no docs generated

Summary

Latest Version Unknown
License Unknown
CI Status Failing
Stars 2
Forks 0
Open Issues 0
Last Commit 2023-07-25
Downloads 0
Last Indexed 2026-09-06 06:05

Tags

Installation

nimble install BovineTalk
choosenim install BovineTalk
git clone https://gitlab.com/is-annazam/bovinetalk

OS Compatibility

Platform Linux macOS Windows FreeBSD OpenBSD NetBSD Android iOS WASM Embedded
BovineTalk - - - - - - -

README

BovineTalk

There is a critical need to develop and validate non-invasive animal-based indicators of affective states in livestock species, in order to integrate them into on-farm assessment protocols, potentially via the use of precision livestock farming (PLF) tools. One such promising approach is the use of vocal indicators. The acoustic structure of vocalizations and their functions were extensively studied in important livestock species, such as pigs, horses, poultry and goats, yet cattle remain understudied in this context to date. Cows were shown to produce two types vocalizations: low-frequency calls (LF), produced with the mouth closed, or partially closed, for close distance contacts and open mouth emitted high-frequency calls (HF), produced for long distance communication, with the latter considered to be largely associated with negative affective states. Moreover, cattle vocalizations were shown to contain information on individuality across a wide range of contexts, both negative and positive. Nowadays, dairy cows are facing a series of negative challenges and stressors in a typical production cycle, making vocalizations during negative affective states of special interest for research. We provide here the largest to date pre-processed (clean from noises) dataset of n=20 lactating adult multiparous dairy cows during negative affective states induced by visual isolation challenges.

The dataset

The dataset includes recordings of 20 cows arranged by date and then cow id, each cow has it's recordings split into two directories: - HFC : high frequency calls. - LFS : low frequency calls.

Data was collected by Dr. Dinu Gavojdian and DVM Madalina Mincu, Cattle Production Systems Laboratory, Research and Development Institute for Bovine, Balotesti, Romania.