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This book presents the latest advances in applications of continuous, objective, and automated sensing technologies and computer tools for sustainable and efficient poultry production, and it offers solutions to the poultry industry to address challenges in terms of poultry management, the environment, nutrition, automation and robotics, health, welfare assessment, behavior monitoring, waste management, etc. The reader will find original research papers that address, on a global scale, the sustainability and efficiency of the poultry industry and explore the above-mentioned areas through applications of PPF solutions in poultry meat and egg production

Research & information: general --- Biology, life sciences --- Animals & society --- broiler --- activity index --- time interval --- age --- image processing --- poultry --- cage-free --- preening behavior --- mask R-CNN --- residual network --- broiler chicken --- machine vision --- image restoring --- precision poultry farming --- feeding system --- pecking force --- precision livestock farming --- poultry farming --- information management --- cloud database --- disease detection --- acoustic --- audio --- frequency --- behavior --- image analysis --- animal welfare --- movement analysis --- LED --- comfort index --- manure area --- manure coverage proportion --- environment control --- ammonia emission --- layer house --- laying hen --- daily behavior --- machine learning --- inertia sensor --- walking ability --- animal behavior --- precision livestock --- PLF --- precise feeding --- ideal protein --- animal health --- immune system --- productive parameters --- management

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This book presents the latest advances in applications of continuous, objective, and automated sensing technologies and computer tools for sustainable and efficient poultry production, and it offers solutions to the poultry industry to address challenges in terms of poultry management, the environment, nutrition, automation and robotics, health, welfare assessment, behavior monitoring, waste management, etc. The reader will find original research papers that address, on a global scale, the sustainability and efficiency of the poultry industry and explore the above-mentioned areas through applications of PPF solutions in poultry meat and egg production

Research & information: general --- Biology, life sciences --- Animals & society --- broiler --- activity index --- time interval --- age --- image processing --- poultry --- cage-free --- preening behavior --- mask R-CNN --- residual network --- broiler chicken --- machine vision --- image restoring --- precision poultry farming --- feeding system --- pecking force --- precision livestock farming --- poultry farming --- information management --- cloud database --- disease detection --- acoustic --- audio --- frequency --- behavior --- image analysis --- animal welfare --- movement analysis --- LED --- comfort index --- manure area --- manure coverage proportion --- environment control --- ammonia emission --- layer house --- laying hen --- daily behavior --- machine learning --- inertia sensor --- walking ability --- animal behavior --- precision livestock --- PLF --- precise feeding --- ideal protein --- animal health --- immune system --- productive parameters --- management --- broiler --- activity index --- time interval --- age --- image processing --- poultry --- cage-free --- preening behavior --- mask R-CNN --- residual network --- broiler chicken --- machine vision --- image restoring --- precision poultry farming --- feeding system --- pecking force --- precision livestock farming --- poultry farming --- information management --- cloud database --- disease detection --- acoustic --- audio --- frequency --- behavior --- image analysis --- animal welfare --- movement analysis --- LED --- comfort index --- manure area --- manure coverage proportion --- environment control --- ammonia emission --- layer house --- laying hen --- daily behavior --- machine learning --- inertia sensor --- walking ability --- animal behavior --- precision livestock --- PLF --- precise feeding --- ideal protein --- animal health --- immune system --- productive parameters --- management

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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 monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.

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 --- 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

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Digital agriculture is gaining traction among scientists implementing different new and emerging sensor technologies to monitor complex soil–plant–atmosphere interactions in an accurate, cost-effective and user-friendly manner. This book presents some of the latest advances in this emerging area of research. The diversity of applications in which digital agriculture can make an important difference in day-to-day farming decision making makes this discipline an important focus of research internationally.

Research & information: general --- Geography --- apple orchards --- modeling and simulation --- unmanned aerial vehicles --- fruit ripeness --- ethylene gas detection --- 3D crop modeling --- remote sensing --- on-ground sensing --- depth images --- parameter acquisition --- capacitor sensor --- deposit mass --- pesticide droplets --- formulations --- ionization --- CFD --- airflow field test --- monitoring method --- spectral sensor --- crop growth --- computer vision --- deep learning --- image processing --- pose estimation --- animal detection --- precision livestock --- Citrus sinensis L. Osbeck --- mechanical harvesting --- acceleration sensor --- vibration time --- logistic regression --- adaptive thresholding --- fruit detection --- parameter tuning --- phenotype --- phenotyping --- phenomics --- Triticum aestivum --- water deficit --- stress --- infrared --- leaf area index --- cocoa beans --- volatile compounds --- artificial neural networks --- VitiCanopy app --- bushfires --- infrared thermography --- near-infrared spectroscopy --- smoke taint --- artificial intelligence --- Kinect sensor --- RGB --- RGB-D --- image segmentation --- colour thresholding --- bunch area --- bunch volume --- point cloud --- mesh --- surface reconstruction --- image analysis --- cluster morphology --- machine learning --- non-invasive sensing technologies --- proximal sensing --- precision viticulture --- partial least square --- support vector machine --- Gaussian processes --- soybean --- pigeon pea --- guar --- tepary bean --- apple orchards --- modeling and simulation --- unmanned aerial vehicles --- fruit ripeness --- ethylene gas detection --- 3D crop modeling --- remote sensing --- on-ground sensing --- depth images --- parameter acquisition --- capacitor sensor --- deposit mass --- pesticide droplets --- formulations --- ionization --- CFD --- airflow field test --- monitoring method --- spectral sensor --- crop growth --- computer vision --- deep learning --- image processing --- pose estimation --- animal detection --- precision livestock --- Citrus sinensis L. Osbeck --- mechanical harvesting --- acceleration sensor --- vibration time --- logistic regression --- adaptive thresholding --- fruit detection --- parameter tuning --- phenotype --- phenotyping --- phenomics --- Triticum aestivum --- water deficit --- stress --- infrared --- leaf area index --- cocoa beans --- volatile compounds --- artificial neural networks --- VitiCanopy app --- bushfires --- infrared thermography --- near-infrared spectroscopy --- smoke taint --- artificial intelligence --- Kinect sensor --- RGB --- RGB-D --- image segmentation --- colour thresholding --- bunch area --- bunch volume --- point cloud --- mesh --- surface reconstruction --- image analysis --- cluster morphology --- machine learning --- non-invasive sensing technologies --- proximal sensing --- precision viticulture --- partial least square --- support vector machine --- Gaussian processes --- soybean --- pigeon pea --- guar --- tepary bean