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

Pig detection in real production environments is a challenging task due to the variations of
housing system and dynamic background. Though considerable progress has been made …

Effective animal intelligent monitoring is of great value in terms of ecological protection and
endangered specie conservation. At present, computer vision technologies have shed light …

Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …

Recognition of individual pigs is critical to the monitoring of pig body size and physiological
health status in large‐scale pig farms. In this study, deep learning methods were introduced …

Precise segmentation is an important computer vision task for the automated animal
monitoring, with potential application in the quantitative analysis of piglet crushing. However …

Simple Summary Research on real-time instance segmentation technology in the field of
pigs is of great significance, as it can provide accurate pig behavior monitoring and …

Despite advancements in video-based behaviour analysis and detection models for various
species, existing methods are suboptimal to detect macaques in complex laboratory …

abstract The space of Internet-of-things has exploded, with billions of interconnected devices
ranging from mainframes to refrigerators and thermostats. These devices offer the promise of …