Pig farming, a vital industry, necessitates proactive measures for early disease detection and
crush symptom monitoring to ensure optimum pig health and safety. This review explores …

Numerous recent papers based on deep learning (DL) have been published covering a
wide range of applications to pig production. These applications provide information …

The advent of artificial intelligence (AI) in animal husbandry, particularly in pig interaction
recognition (PIR), offers a transformative approach to enhancing animal welfare, promoting …

Accurate identification of porcine cough plays a vital role in comprehensive respiratory
health monitoring and diagnosis of pigs. It serves as a fundamental prerequisite for stress …

The metaverse, a virtual world comprising a collective virtual shared space where users
interact with one another through avatars and computer-generated objects, aims to closely …

In this paper, we present a novel approach for wildlife animal detection in natural habitats
using a deep learning model. Our model leverages a combination of Convolutional Neural …

Heat stress stands out as one of the main elements linked to concerns related to animal
thermal comfort. This research aims to develop a sequential methodology for the extraction …

Accurate animal disease prediction is essential for improving livestock health and mitigating
the impact of disease outbreaks, thereby safeguarding food security andreducing …

The metaverse is a virtual world, consisting of a collective virtual shared space where users
can interact with one another through avatars and computer-generated objects. Its goal is to …

The utilization of Pig Emotion Recognition (PER) driven by Artificial Intelligence (AI)
promises to mitigate labor costs and alleviate stress among domestic pigs, thereby …