A Feasibility Study on the Use of a Structured Light Depth-Camera for Three-Dimensional Body Measurements of Dairy Cows in Free-Stall Barns
暂无分享,去创建一个
Andrea Pezzuolo | Luigi Sartori | Francesco Marinello | Marcella Guarino | F. Marinello | M. Guarino | L. Sartori | A. Pezzuolo
[1] I. Veissier,et al. Short communication: Early modification of the circadian organization of cow activity in relation to disease or estrus. , 2017, Journal of dairy science.
[2] Enrico Savio,et al. Geometrical modelling of scanning probe microscopes and characterization of errors , 2009 .
[3] Yoshihiro Okada,et al. 3D Model Generation of Cattle Using Multiple Depth-Maps for ICT Agriculture , 2017, CISIS.
[4] Jiahua Wu,et al. Extracting the three-dimensional shape of live pigs using stereo photogrammetry , 2004 .
[5] Zhengyou Zhang,et al. Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..
[6] Yael Edan,et al. Development of automatic body condition scoring using a low-cost 3-dimensional Kinect camera. , 2016, Journal of dairy science.
[7] Kikuhito Kawasue,et al. Black cattle body shape and temperature measurement using thermography and KINECT sensor , 2017, Artificial Life and Robotics.
[8] Yongwha Chung,et al. Depth-Based Detection of Standing-Pigs in Moving Noise Environments , 2017, Sensors.
[9] J. A. Marchant,et al. Extending the snake image processing algorithm for outlining pigs in scenes , 1993 .
[10] Andrea Pezzuolo,et al. Determination of forest road surface roughness by Kinect depth imaging , 2017 .
[11] T Grandin,et al. Assessment of stress during handling and transport. , 1997, Journal of animal science.
[12] Toru Tamaki,et al. A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system , 2015, Comput. Electron. Agric..
[13] Wolfgang Junge,et al. Automated calculation of udder depth and rear leg angle in Holstein-Friesian cows using a multi-Kinect cow scanning system , 2017 .
[14] D Berckmans,et al. Analysis of individual classification of lameness using automatic measurement of back posture in dairy cattle. , 2013, Journal of dairy science.
[15] Claudia Bahr,et al. Lameness Detection in Dairy Cows: Part 2. Use of Sensors to Automatically Register Changes in Locomotion or Behavior , 2015, Animals : an open access journal from MDPI.
[16] F. Marinello,et al. Application of the Kinect sensor for dynamic soil surface characterization , 2015, Precision Agriculture.
[17] Jørgen Kongsro,et al. Estimation of pig weight using a Microsoft Kinect prototype imaging system , 2014 .
[18] Sander Oude Elberink,et al. Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications , 2012, Sensors.
[19] A Alempijevic,et al. Live animal assessments of rump fat and muscle score in Angus cows and steers using 3-dimensional imaging. , 2017, Journal of animal science.
[20] Claudia Arcidiacono,et al. The automatic detection of dairy cow feeding and standing behaviours in free-stall barns by a computer vision-based system , 2015 .
[21] José Dorado,et al. An Approach to the Use of Depth Cameras for Weed Volume Estimation , 2016, Sensors.
[22] Ephraim Maltz,et al. Automatic lameness detection based on consecutive 3D-video recordings , 2014 .
[23] Michael Riis Andersen,et al. Kinect Depth Sensor Evaluation for Computer Vision Applications , 2012 .
[24] Ilan Halachmi,et al. Automatic assessment of dairy cattle body condition score using thermal imaging , 2013 .
[25] G. Hoffmann,et al. First investigations to refine video-based IR thermography as a non-invasive tool to monitor the body temperature of calves. , 2016, Animal : an international journal of animal bioscience.
[26] J. A. Marchant,et al. Monitoring pig growth using a prototype imaging system , 1999 .
[27] Wolfgang Junge,et al. A multi-Kinect cow scanning system: Calculating linear traits from manually marked recordings of Holstein-Friesian dairy cows , 2017 .
[28] Daniel Berckmans,et al. Classification of aggressive behaviour in pigs by activity index and multilayer feed forward neural network , 2014 .
[29] Marcella Guarino,et al. An innovative approach to predict the growth in intensive poultry farming , 2015, Comput. Electron. Agric..
[30] Wolfgang Junge,et al. Estimation of backfat thickness using extracted traits from an automatic 3D optical system in lactating Holstein-Friesian cows , 2014 .
[31] Dries Berckmans,et al. Developing precision livestock farming tools for precision dairy farming , 2017 .
[32] Francesco Maria Tangorra,et al. Static spatial requirements of growing-finishing and heavy pigs , 2006 .
[33] Jacob Goldberger,et al. Obstacle detection in a greenhouse environment using the Kinect sensor , 2015, Comput. Electron. Agric..
[34] Andrea Pezzuolo,et al. Influence of automatic feeding systems on design and management of dairy farms , 2017 .
[35] D Berckmans,et al. Lameness detection in dairy cattle: single predictor v. multivariate analysis of image-based posture processing and behaviour and performance sensing. , 2016, Animal : an international journal of animal bioscience.
[36] Erik Jørgensen,et al. Determination of live weight of pigs from dimensions measured using image analysis , 1996 .
[37] Y. Wang,et al. Walk-through weighing of pigs using machine vision and an artificial neural network , 2008 .
[38] David Reiser,et al. 3-D Imaging Systems for Agricultural Applications—A Review , 2016, Sensors.
[39] M Nilsson,et al. Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique. , 2015, Animal : an international journal of animal bioscience.
[40] D. Hodgins,et al. Factors associated with morbidity, mortality, and growth of dairy heifer calves up to 3 months of age. , 2014, Preventive veterinary medicine.
[41] Enrico Savio,et al. Metrology of freeform shaped parts , 2007 .
[42] G. C. Guarnera,et al. Objective estimation of body condition score by modeling cow body shape from digital images. , 2011, Journal of dairy science.
[43] Claudia Bahr,et al. Original paper: Real-time automatic lameness detection based on back posture extraction in dairy cattle: Shape analysis of cow with image processing techniques , 2010 .
[44] D Berckmans,et al. Computer-assisted image analysis to quantify daily growth rates of broiler chickens , 2003, British Poultry Science.
[45] M. B. R. Mollah,et al. Digital image analysis to estimate the live weight of broiler , 2010 .
[46] George Azzari,et al. Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor , 2013, Sensors.
[47] Andrea Pezzuolo,et al. On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera , 2018, Comput. Electron. Agric..
[48] D Berckmans,et al. Automatic measurement of touch and release angles of the fetlock joint for lameness detection in dairy cattle using vision techniques. , 2012, Journal of dairy science.
[49] X. Song,et al. Body measurements of dairy calf using a 3-D camera in an automatic feeding system , 2014 .
[50] Ling Shao,et al. Enhanced Computer Vision With Microsoft Kinect Sensor: A Review , 2013, IEEE Transactions on Cybernetics.
[51] Bengt-Göran Rosén,et al. Software relocation of 3D surface topography measurements , 2001 .
[52] D. Stajnko,et al. Estimation of bull live weight through thermographically measured body dimensions , 2008 .
[53] P. Negretti,et al. Visual image analysis to estimate morphological and weight measurements in rabbits. , 2010 .
[54] Du-Ming Tsai,et al. A motion and image analysis method for automatic detection of estrus and mating behavior in cattle , 2014 .
[55] Yongwha Chung,et al. Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor , 2016, Sensors.
[56] I Halachmi,et al. Editorial: Precision livestock farming: a 'per animal' approach using advanced monitoring technologies. , 2016, Animal : an international journal of animal bioscience.
[57] Y. Bozkurt,et al. The relationship of parameters of body measures and body weight by using digital image analysis in pre-slaughter cattle , 2008 .
[58] Francesco Marinello,et al. Last generation instrument for agriculture multispectral data collection , 2017 .