MooLogue: A cross-platform mobile application for cow vocalization education and welfare monitoring

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Authors: Mayuri Kate, Suresh Raja Neethirajan
Cited by: 1
References: 3

Abstract

Cow vocalizations carry important cues about a herd’s welfare and needs, making them valuable for health monitoring in precision livestock farming. We present MooLogue, a cross-platform mobile application that offers farmers and researchers an interactive interface to explore annotated cow calls and their meanings. The app combines a Flutter front-end with an Amazon Web Services (AWS)-based, Python/PyTorch backend that is used to generate and manage labelled audio examples of cow vocalizations. By providing a curated call library of cow call recordings linked to behavioural classes (call types), grouped into nine categories, model confidence scores, and interpretive text, MooLogue bridges bovine bioacoustic research with on-farm learning and welfare-oriented decision-making.

Fields of Study & Subjects

Animal Behavior and Welfare Studies Human-Animal Interaction Studies Animal Vocal Communication and Behavior

Publication details

Journal / source
SoftwareX
Publisher
Elsevier BV
Volume
34
Pages
102638–102638
Publication date
9 April 2026
Language
EN