[1] 王蕾,李文科.高质量发展背景下我国畜牧业提质增效制约因素分析及对策探讨[J].黑龙江畜牧兽医,2021,22:1-5.WANG L,LI W K.Analysis of restrictive factors and countermeasures for improving quality and efficiency of animal husbandry under the background of high quality development in China[J].Heilongjiang Animal Science and Veterinary Medicine, 2021,22:1-5.(in Chinese) [2] 罗西尔,卢小龙,刘庆友,等.肉牛智慧养殖技术研究进展[J].华南农业大学学报,2024,45(5):661-671.LUO X E,LU X L,LIU Q Y,et al.Research progress on intelligent farming techniques of beef cattle[J].Journal of South China Agricultural University,2024,45(5):661-671.(in Chinese) [3] 熊慧,王明利.欧美发达国家发展农场动物福利的实践及其对中国的启示——基于畜牧业高质量发展视角[J].世界农业,2020,12:22-29.XIONG H,WANG M L.The practice of farm animal welfare in developed countries of Europe and America and its revelation to China—From the perspective of high-quality development of animal husbandry[J].World Agriculture, 2020,12:22-29.(in Chinese) [4] HAO G,MA X D,MA Q,et al.LSSA_CAU:An interactive 3D point clouds analysis software for body measurement of livestock with similar forms of cows or pigs[J].Computers and Electronics in Agriculture,2017,138:60-68. [5] RUCHAY A N,VITALY K,KONSTANTIN A,et al.Accurate body measurement of live cattle using three depth cameras and nonrigid 3D shape recovery[J]. Computers and Electronics in Agriculture, 2020,179:105821. [6] SHI S,YIN L,LIANG S H,et al.Research on 3D surface reconstruction and body size measurement of pigs based on multi-view RGB-D cameras[J].Computers and Electronics in Agriculture,2020,175:105543. [7] NAN J,KOOTSTRA G,KOERKAMP P G,et al.Segmentation of body parts of cows in RGB-depth images based on template matching[J].Computers and Electronics in Agriculture,2021,180:105897. [8] 罗世林,何秀文,孙云涛,等.基于机器视觉技术的猪只体重检测研究现状及展望[J].南方农机,2024,55(3):13-17.LUO S L,HE X W,SUN Y T,et al.Current status and prospects of pig weight detection research based on machine vision technology[J].Southern Agricultural Machinery,2024,55(3):13-17.(in Chinese) [9] 余佳.无接触活体动物识别及体征测量[D].成都:成都大学,2021.YU J.Identification and measurement of signs of live animals without contact[D]. Chengdu:Chengdu University,2021.(in Chinese) [10] 王旭,刘琼,彭宗举,等.6DoF视频技术研究进展[J].中国图象图形学报,2023,28(6):1863-1890.WANG X,LIU Q,PENG Z J,et al.Research progress of six degree of freedom (6DoF) video technology[J].Journal of Image and Graphics,2023,28(6):1863-1890.(in Chinese) [11] 赵佳琦,周勇,何欣,等.基于深度学习的点云分割研究进展分析[J].电子与信息学报,2022,44(12):4426-4440.ZHAO J Q,ZHOU Y,HE X,et al.Research progress analysis of point cloud segmentation based on deep learning[J].Journal of Electronics & Information Technology,2022,44(12):4426-4440.(in Chinese) [12] 滕光辉,申志杰,张建龙,等.基于Kinect传感器的无接触式母猪体况评分方法[J].农业工程学报,2018,34(13):211-217.TENG G H,SHEN Z J,ZHANG J L,et al.Non-contact sow body condition scoring method based on Kinect sensor[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(13):211-217.(in Chinese) [13] 陆明洲,光二颖,陈子康,等.基于双视角图像的山羊体尺自动测量方法[J].农业机械报,2023,54(8):286-295.LU M Z,GUANG E Y,CHEN Z K,et al.Automatic measurement method of goat body size based on double vision angle camera image[J].Transactions of the Chinese Society for Agricultural Machinery, 2023,54(8):286-295.(in Chinese) [14] 李嘉位,马为红,李奇峰,等.复杂环境下肉牛三维点云重建与目标提取方法[J].智慧农业(中英文),2022,4(2):64-76.LI J W,MA W H,LI Q F,et al.Automatic acquisition and target extraction of beef cattle 3D point cloud from complex environment[J].Smart Agriculture,2022,4(2):64-76.(in Chinese) [15] WANG Y,MUCHER S,WANG W,et al.A review of three-dimensional computer vision used in precision livestock farming for cattle growth management[J].Computers and Electronics in Agriculture,2023,206:107687. [16] 潘泰任.羊只无应激三维体尺测量关键技术研究[D].重庆:重庆理工大学,2023.PAN T R.Research on key technologies for non-stress three-dimensional body size measurement in sheep[D].Chongqing:Chongqing University of Technology,2023.(in Chinese) [17] YANG G,XU X,SONG L,et al.Automated measurement of dairy cows body size via 3D point cloud data analysis[J].Computers and Electronics in Agriculture,2022,200:107218. [18] 尹令,王宇啸,林俊勇,等.基于三维点云分割的猪体尺自动测量技术[J].广东畜牧兽医科技,2023,48(6):1-6.YIN L,WANG Y X,LIN J Y,et al.Automatic measurement technology for measurement of swine body size based on three-dimensional point cloud segmentation[J].Guangdong Journal of Animal and Veterinary Science,2023,48(6):1-6.(in Chinese) [19] XIAO J,LIU G,WANG K,et al.Cow identification in free-stall barns based on an improved Mask R-CNN and an SVM[J].Computers and Electronics in Agriculture,2022,194:106738. [20] SAMPERIO E,LIDON I,REBOLLAR R,et al.Lambs’live weight estimation using 3D images[J].Animal,2021,15(5):100212. [21] ZHAO L,HU Y,YANG X,et al.Robust multi-task learning network for complex LiDAR point cloud data preprocessing[J].Expert Systems with Applications,2024,237:121552. [22] 陈森.车载激光扫描点云滤波方法研究[J].测绘与空间地理信息,2023,46(11):157-159.CHEN S.Research on point cloud filtering method for vehicle laser scanning[J].Geomatics & Spatial Information Technology,2023,46(11):157-159.(in Chinese) [23] 姜佩奇,伍杰,张社荣,等.基于深度学习的点云分割与洪水风险模拟方法[J].水科学进展,2024,35(1):62-73.JIANG P Q,WU J,ZHANG S R,et al.Point clouds segmentation and flood risk simulation method based on deep learning[J].Advances in Water Science,2024,35(1):62-73.(in Chinese) [24] 范秋生,潘纹,刘培俊.点云处理软件的开发[J].黄冈职业技术学院学报,2023,25(5):140-144.FAN Q S,PAN W,LIU P J.Development of point cloud processing software[J].Journal of Huanggang Polytechnic,2023,25(5):140-144.(in Chinese) [25] 张湘,韩少腾.点云数据重采样下的破损建筑虚拟重建与修复方法[J].科技通报,2023,39(10):23-26.ZHANG X,HAN S T.Virtual peconstruction and repair of damaged buildings based on point cloud data resampling[J]. Bulletin of Science and Technology,2023,39(10):23-26.(in Chinese) [26] 李栋栋,李树军,曾一健,等.叶片边缘破损曲面再生修复技术研究[J].南京航空航天大学学报,2023,55(5):905-913.LI D D,LI S J,ZENG Y J,et al.Research on regeneration technology of damaged blade edge surface[J].Journal of Nanjing University of Aeronautics & Astronautics,2023,55(5):905-913.(in Chinese) [27] 马学磊,薛河儒,周艳青,等.基于改进区域生长法的羊体点云分割及体尺参数测量[J].中国农业大学学报,2020,25(3):99-105.MA X L,XUE H R,ZHOU Y Q,et al.Point cloud segmentation and measurement of the body size parameters of sheep based on the improved region growing method[J].Journal of China Agricultural University,2020,25(3):99-105.(in Chinese) [28] 李前,初梦苑,康熙,等.基于计算机视觉的奶牛跛行识别技术研究进展[J].农业工程学报,2022,38(15):159-169.LI Q,CHU M Y,KANG X,et al.Research progress on lameness recognition technology in dairy cows using computer vision [J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(15):159-169.(in Chinese) [29] 李孟飞,康熙,王彦超,等.基于阈值分析的曲线拟合和边缘检测生猪侧视点云补全[J].农业机械学报,2021,52:81-88.LI M F,KANG X,WANG Y C,et al.Side-view point cloud completion method combining cubic B-spline curve fitting and edge detection based on threshold analysis [J].Transactions of the Chinese Society for Agricultural Machinery, 2021,52:81-88.(in Chinese) [30] CHEN H,XU F,FENG Y,et al.Bidirectional point cloud holes repair obtained by SfM and structured light[J].SN Computer Science,2022,3(6):457. [31] ZHI K W,CHENG Y,LING Y,et al.Improved hole repairing algorithm for livestock point clouds based on cubic B-spline for region defining[J].Measurement,2022,190:110668. [32] 尹令,蔡更元,田绪红,等.多视角深度相机的猪体三维点云重构及体尺测量[J].农业工程学报,2019,35(23):201-208.YIN L,CAI G Y,TIAN X H,et al.Three dimensional point cloud reconstruction and body size measurement of pigs based on multi-view depth camera[J].Transactions of the Chinese Society of Agricultural Engineering,2019,35(23):201-208.(in Chinese) [33] 吕金明.基于深度相机的羊体三维重建及体重预估研究[D].石河子:石河子大学,2023.LYU J M.Research on 3D reconstruction and weight estimation of sheep based on depth damera[D].Shihezi: Shihezi University,2023.(in Chinese) [34] ZOU S,KANG F,LI W,et al.Point cloud registration for agriculture and forestry crops based on calibration balls using Kinect V2[J].International Journal of Agricultural and Biological Engineering,2020,13(1):198-205. [35] 本刊编辑部.数智化推动家禽业现代化发展——2023家禽养殖数智化发展研讨会会议手札[J].中国禽业导刊,2023,40(11):2-14.EDITORIAL DEPARTMENT OF THIS JOURNAL.Digital transformation promotes the modernization of poultry industry—Proceedings of the 2023 poultry farming digital development seminar[J].Guide to Chinese Poultry,2023,40(11):2-14.(in Chinese) [36] 刘一呈,赵建敏,赵宇飞.基于机器视觉和TX2的牛生长参数测量系统设计[J].信息技术与信息化,2023,10:13-18.LIU Y C,ZHAO J M,ZHAO Y F.Design of a cattle growth parameter measurement system based on machine vision and TX2[J]. Information Technology and Informatization,2023,10:13-18.(in Chinese) [37] 王曦,杨效民,王树华,等.和顺牛等级评定标准的确立[A].第十三届(2018)中国牛业发展大会论文集[C].2018.WANG X,YANG X M,WANG S H,et al.Establishment of the Heshun cattle grading standards[A].Proceedings of the 13th (2018) China Cattle Industry Development Conference[C].2018.(in Chinese) [38] 朱俊红,陆颖,和晓明,等.努比亚山羊体重与体尺指标的相关性分析[J].家畜生态学报,2023,44(8):15-19.ZHU J H,LU Y,HE X M,et al.Correlation analysis between body weight and body size indexs of Nubian goats[J].Journal of Domestic Animal Ecology,2023,44(8):15-19.(in Chinese) [39] SHI W,DAI B,SHEN W,et al.Automatic estimation of dairy cow body condition score based on attention-guided 3D point cloud feature extraction[J].Computers and Electronics in Agriculture,2023,206:107666. [40] 周艳青,薛河儒,姜新华,等.基于多尺度Retinex图像增强的羊体尺参数无接触测量[J].中国农业大学学报,2018,23(9):156-165.ZHOU Y Q,XUE H R,JIANG X H,et al.Non-contact measurement of sheep body size based on multi-scale Retinex image enhancement[J].Journal of China Agricultural University,2018,23(9):156-165.(in Chinese) [41] 张丽娜,武佩,乌云塔娜,等.基于图像的肉羊生长参数实时无接触监测方法[J].农业工程学报,2017,33(24):182-191.ZHANG L N,WU P,WU Y T N,et al.Real-time non-contact monitoring method for growth parameters of sheep based on image analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(24):182-191.(in Chinese) [42] 岳伟.基于机器视觉的羊体体征测量[D].包头:内蒙古科技大学,2015.YUE W.Sheep body size measurement based on machine vision[D].Baotou:Inner Mongolia University of Science and Technology,2015.(in Chinese) [43] TURNER K E,THOMPSON A,HARRIS I,et al.Deep learning based classification of sheep behaviour from accelerometer data with imbalance[J].Information Processing in Agriculture,2023,10(3):377-390. [44] 江杰,岳伟,曹孟珍.基于机器视觉的羊体体尺测量方法研究[J].内蒙古科技大学学报,2015,34(4):322-327.JIANG J,YUE W,CAO M Z.Research on sheep body size measurement method based on computer vision[J].Journal of Inner Mongolia University of Science and Technology,2015,34(4):322-327.(in Chinese) [45] 胡媛敏,张寿明.基于机器视觉的奶牛体尺测量[J].电子测量技术,2020,43(20):115-120.HU Y M,ZHANG S M.Dairy cow body measurement based on machine vision[J].Electronic Measurement Technology,2020,43(20):115-120.(in Chinese) [46] 张婧婧,李勇伟.基于机器视觉的马体尺测量系统设计与研究[J].计算机测量与控制,2017,25(12):17-20.ZHANG J J,LI Y W.Design and research of measurement system of horse body based on machine vision[J].Computer Measurement and Control,2017,25(12):17-20.(in Chinese) [47] 买尔孜燕古丽·阿不都拉,冯向萍.基于机器视觉的非接触式马体尺测量方法[J].计算机与现代化,2019,10:108-111.MAIERZIYAN A,FENG X P.Non-contact horse body measurement method based on machine vision [J].Computer and Modernization,2019,10:108-111.(in Chinese) [48] 王可,郭浩,刘威林,等.基于点云旋转归一化的猪体体尺测点提取方法[J].农业工程学报,2017,33(S1):253-259.WANG K,GUO H,LIU W L,et al.Extraction method of pig body size measurement points based on rotation normalization of point cloud[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(S1):253-259.(in Chinese) [49] 赵建敏,赵成,夏海光.基于Kinect V4的牛体尺测量方法[J].计算机应用,2022,42(5):1598-1606.ZHAO J M,ZHAO C,XIA H G.Cattle body size measurement method based on Kinect V4[J].Journal of Computer Applications,2022,42(5):1598-1606.(in Chinese) [50] 张馨月,刘刚,经玲,等.基于点云精简的奶牛背部体尺测点自动提取方法[J].农业机械学报,2019,50(S1):267-275.ZHANG X Y,LIU G,JING L,et al.Automatic extraction method of cow’s back body measuring point based on simplification point cloud[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(S1):267-275.(in Chinese) [51] DU A,GUO H,LU J,et al.Automatic livestock body measurement based on keypoint detection with multiple depth cameras[J].Computers and Electronics in Agriculture,2022,198(1):107059. [52] HOU Z,HUANG L,ZHANG Q,et al.Body weight estimation of beef cattle with 3D deep learning model:PointNet++[J].Computers and Electronics in Agriculture,2023,213:108184. [53] 黄越川,张海亮,徐伟,等.宁夏地区奶牛体型外貌性状遗传参数估计[J].中国畜牧兽医,2024,51(7):2908-2922.HUANG Y C,ZHANG H L,XU W,et al.Genetic parameters for conformation traits of dairy cattle in Ningxia[J].China Animal Husbandry & Veterinary Medicine,2024,51(7):2908-2922.(in Chinese) [54] TU G J,JORGENSEN E.Vision analysis and prediction for estimation of pig weight in slaughter pens[J].Expert Systems with Applications,2023,220:119684. [55] 孙子杰.基于机器视觉的牦牛体重估测[D].西宁:青海大学,2020.SUN Z J.Yak weight estimation methods based on machine vision[D].Xining:Qinghai University,2020.(in Chinese) [56] LI G,LIU X,MA Y,et al.Body size measurement and live body weight estimation for pigs based on back surface point clouds[J].Biosystems Engineering,2022,218:10-22. [57] KHOJASTEHKEY M,SADEGHIPANAH A,ASADZADEH N,et al.Prediction of body weight of Sistani cows using computer vision[J].Animal Production Research,2022,11(3):55-66. [58] SAMPERIO E,LIDON I,REBOLLAR R,et al.Lambs’ live weight estimation using 3D images[J]. Animal,2021,15(5):100212. [59] RIEGO V,SANCHEZ L,FERNANDEZ L,et al.A non-stressful vision-based method for weighing live lambs[J].Logic Journal of the IGPL,2024,20(5):jzae059. |