04936nam 2201201z- 450 991057687980332120220621(CKB)5720000000008377(oapen)https://directory.doabooks.org/handle/20.500.12854/84508(oapen)doab84508(EXLCZ)99572000000000837720202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Sensors, Big Data and Machine Learning in Intelligent Animal FarmingBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (228 p.)3-0365-4035-0 3-0365-4036-9 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.History of engineering & technologybicsscTechnology: general issuesbicsscabsorbing Markov chainadditive manufacturinganimal behaviouranimal farminganimal scienceanimal telemetryanimal-centered designaudioautomated medical image processingbody sizecascaded modelclass-balanced focal losscommercial aviarycomputational ethologycomputer visionconvolutional neural networkcowcow behavior analysiscow identificationCT scansdairy cowdairy welfaredeep learningdeep neural networkdesign contributionsEfficientDetequine behaviorestimationextensive livestockfalse registrationsforage managementgenerative adversarial networkgroup-housed pigshierarchical clusteringinstance segmentationintermodality interactionjaw movementlaying henslow-frequency trackingmachine learningmask scoring R-CNNmasticationmodularitymonitoringmutual informationparturition predictionpig identificationpig weightprecision livestock farmingprecision livestock managementprediction of calving timeradar sensorsradar signal processingsensorized wearable devicesignal classificationsmart collarsoft-NMStime budgetstree-based classifierunsupervised machine learningwavelet analysiswearable sensorwearables designYOLACT++History of engineering & technologyTechnology: general issuesQiao Yongliangedt1324800Chai LilongedtHe DongjianedtSu DaobiligeedtQiao YongliangothChai LilongothHe DongjianothSu DaobiligeothBOOK9910576879803321Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming3036320UNINA