Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming

• Другие авторы: Qiao, Yongliang (Редактор), Chai, Lilong (Редактор), He, Dongjian (Редактор), Su, Daobilige (Редактор)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Предметы: Technology: general issues; History of engineering & technology; pig weight; body size; estimation; deep learning; convolutional neural network; pig identification; mask scoring R-CNN; soft-NMS; group-housed pigs; audio; dairy cow; mastication; jaw movement; forage management; precision livestock management; equine behavior; wearable sensor; intermodality interaction; class-balanced focal loss; absorbing Markov chain; cow behavior analysis; prediction of calving time; cow identification; EfficientDet; YOLACT++; cascaded model; instance segmentation; generative adversarial network; machine learning; automated medical image processing; deep neural network; animal science; CT scans; computer vision; cow; extensive livestock; sensorized wearable device; monitoring; parturition prediction; radar sensors; radar signal processing; animal farming; computational ethology; signal classification; wavelet analysis; dairy welfare; hierarchical clustering; mutual information; precision livestock farming; time budgets; unsupervised machine learning; wearables design; animal-centered design; animal telemetry; modularity; smart collar; design contributions; additive manufacturing; low-frequency tracking; commercial aviary; laying hens; false registrations; tree-based classifier; animal behaviour
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient m...