Precision Agriculture Science and Technology ISSN:2672-0086(Print) 2713-5632(Online) 정밀농업과학기술

Pig welfare and health monitoring systems are the important concern in pig industry and disease detection, responses, and prevention are critical and difficult. Early diseases detection is an efficient way to avoid large-scale diseases outbreaks and their associated financial cost. The detection of pig diseases and behaviours monitoring using image and video processing became an efficient solution to breeders as it is difficult to conduct individual inspection and observation of each pig. This study intended to review the different types of visual symptoms of pig diseases and crush monitoring and their detection techniques based on image and video processing approaches. Respiratory and digestive diseases are the most common diseases in pig farm with piglet crushing by the adult pigs. Common visual symptoms were observed as sneezing, snuffling, and nasal discharge, tear staining, twisting of the snout, poor development, swelling of the neck, depression, vomiting, weight loss, and dying suddenly, jowl swelling, etc. The most common symptoms of crushing are a lame or squealing piglet, fractured bones, bruises, bleeding from the mouth or nose, death, and decreased viability in new-born piglets. Pig farms often used RGB, depth, and infrared cameras. A possible long-term promise technology that collects correct behavior information in real time and in complicated environment patterns without interfering with the subjects' usual activities is features extraction, segmentation, and classification in image and video processing methods. Therefore, pig diseases detection, crushing symptoms and behaviour monitoring based on cameras became an essential solution since the farm inspection did not take into account due to several farm conditions and environmental factors.