China Dairy ›› 2024, Vol. 0 ›› Issue (6): 31-39.doi: 10.12377/1671-4393.24.06.06
• FEEDING MANAGEMENT • Previous Articles Next Articles
Research Progress on the Application of Intelligent Breeding Technology in Dairy Cattle Farming
WEI Danni, GUO Yongqing*
- College of Animal Science,South China Agricultural University,Guangzhou Guangdong 510642
| [1] Zhang Y,Zhang Q,Zhang L,et al.Progress of machine vision technologies in intelligent dairy farming[J].Applied Sciences,2023,13(12):7052. [2] 胡肄农,柏宗春,朱红宾,等.奶牛智慧养殖生态环境、生理健康与生长性能数字化表征指标体系研究[J].中国乳业,2023(8):46-49. [3] Tedeschi L O,Greenwood P L,Halachmi I.Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming[J].Journal of Animal Science,2021,99(2):1-11. [4] Dzermeikaite K,Baceninaite D,Antanaitis R.Innovations in cattle farming:Application of innovative technologies and sensors in the diagnosis of diseases[J].Animals,2023,13(5):780. [5] Liu D,Oczak M,Maschat K,et al.A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs[J].Biosystems Engineering,2020,195(7):27-41. [6] Salzer Y,Lidor G,Rosenfeld L,et al.Technical note:A nose ring sensor system to monitor dairy cow cardiovascular and respiratory metrics[J].Journal of Animal Science,2022,100(9):1-8. [7] 于海波. 智能装备在奶牛养殖业上的应用及前景展望[J].中国畜牧业,2023(5):48-49. [8] Menendez H M,Brennan J R,Gaillard C,et al.ASAS-NANP symposium:Mathematical modeling in animal nutrition:Opportunities and challenges of confined and extensive precision livestock production[J].Journal of Animal Science,2022,100(6):1-19. [9] Neethirajan S.Artificial intelligence and sensor technologies in dairy livestock export:Charting a digital transformation[J].Sensors(Basel,Switzerland),2023,23(16):7045. [10] 夏雪,侍啸,柴秀娟.人工智能驱动智慧奶牛养殖的思考与实践[J].中国乳业,2020(8):5-9. [11] Waller B M,Julle-Daniere E,Micheletta J.Measuring the evolution of facial‘expression'using multi-species FACS[J].Neuroscience & Biobehavioral Reviews,2020,113(6):1-11. [12] Xu B,Wang W,Guo L,et al.CattleFaceNet:A cattle face identification approach based on RetinaFace and ArcFace loss[J].Computers and Electronics in Agriculture,2022,193(2):106675. [13] Weng Z,Fan L,Zhang Y,et al.Facial recognition of dairy cattle based on improved convolutional neural network[J].IEICE Transactions on Information and Systems,2022,E105.D(6):1234-1238. [14] Peng Y,Kondo N,Fujiura T,et al.Dam behavior patterns in Japanese black beef cattle prior to calving:Automated detection using LSTM-RNN[J].Computers and Electronics in Agriculture,2020,169(2):105178. [15] Yin X,Wu D,Shang Y,et al.Using an EfficientNet-LSTM for the recognition of single Cow’s motion behaviours in a complicated environment[J].Computers and Electronics in Agriculture,2020,177(10):105707. [16] 李辉. 基于LoRaWAN和多传感器的奶牛计步及姿态检测系统设计[D].呼和浩特:内蒙古大学,2018. [17] 王莉薇. 基于多源信息融合的奶牛反刍行为感知及分类识别研究[D].大庆:黑龙江八一农垦大学,2019. [18] Antanaitis R,Juozaitienė V,Malašauskienė D,et al.Relation of automated body condition scoring system and inline biomarkers(milk yield,β-Hydroxybutyrate,lactate dehydrogenase and progesterone in milk) with cow’s pregnancy success[J].Sensors,2021,21(4):1414. [19] Albornoz R I,Giri K,Hannah M C,et al.An improved approach to automated measurement of body condition score in dairy cows using a three-dimensional camera system[J].Animals(Basel),2021,12(1):72. [20] Ruchay A,Kober V,Dorofeev K,et al.Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery[J].Computers and Electronics in Agriculture,2020,179(12):105821. [21] Qiao Y,Kong H,Clark C,et al.Intelligent perception for cattle monitoring:A review for cattle identification,body condition score evaluation,and weight estimation[J].Computers and Electronics in Agriculture,2021,185(6):106143. [22] Gardenier J,Underwood J,Weary D M,et al.Pairwise comparison locomotion scoring for dairy cattle[J].Journal of Dairy Science,2021,104(5):6185-6193. [23] Zheng Z,Zhang X,Qin L,et al.Cows' legs tracking and lameness detection in dairy cattle using video analysis and Siamese neural networks[J].Computers and Electronics in Agriculture,2023,205(2):107618. [24] Li Q,Chu M,Kang X,et al.Temporal aggregation network using micromotion features for early lameness recognition in dairy cows[J].Computers and Electronics in Agriculture,2023,204(1):107562. [25] Piette D,Norton T,Exadaktylos V,et al.Individualised automated lameness detection in dairy cows and the impact of historical window length on algorithm performance[J].Animal,2020,14(2):409-417. [26] Taneja M,Byabazaire J,Jalodia N,et al.Machine learning based fog computing assisted data-driven approach for early lameness detection in dairy cattle[J].Computers and Electronics in Agriculture,2020,171(4):105286. [27] Neculai-Valeanu A S,Ariton A M.Udder health monitoring for prevention of bovine mastitis and improvement of milk quality[J].Bioengineering(Basel),2022,9(11):608. [28] Lee M,Seo S.Wearable wireless biosensor technology for monitoring cattle:A review[J].Animals,2021,11(10):2779. [29] Haddadi S,Koziel J A,Engelken T J.Analytical approaches for detection of breath voc biomarkers of cattle diseases —A review[J]. Analytica chimica Acta,2022,1206(114):339565. [30] Gierschner P,Küntzel A,Reinhold P,et al.Crowd monitoring in dairy cattle—real-time VOC profiling by direct mass spectrometry[J].Journal of Breath Research,2019,13(4):46006. [31] 席瑞谦,王娟,李正义,等.奶牛智能饲喂关键技术研究[J].中国农机化学报,2021,42(2):190-196. [32] 刘光照,魏元振,陈美舟,等.TMR饲料制备技术探讨与装备试验[J].农业装备与车辆工程,2019,57(11):72-75. [33] 白宇,李亚鹏.TMR技术应用探究[J].现代盐化工,2015(4):27-29,37. [34] 陈玉华,田富洋,闫银发,等.国内外TMR饲喂技术及其制备机的研究进展[J].中国农机化学报,2017,38(12):19-29. [35] 刘浩,彭华,付玲芳,等.我国奶牛场智能管理系统应用现状调研报告[J].中国乳业,2023(11):2-6. [36] 卢颖. 奶牛智慧牧场技术的应用[J].中国畜牧业,2023(5):50-51. [37] Oliveira B R,Ribas M N,Machado F S,et al.Validation of a system for monitoring individual feeding and drinking behaviour and intake in young cattle[J].Animal(Cambridge, England),2018,12(3):634-639. [38] 白文怀. 基于供应链的智慧奶牛养殖场管理综述[J].当代畜禽养殖业,2020(11):21-23. [39] 石成成. 犊牛精确饲喂装备自动控制系统的设计[D].石河子:石河子大学, 2016. [40] Zagidullin L R,Khisamov R R,Kayumov R R,et al.Dairy robotic milking system[J].BIO Web of Conferences,2023,71(16):1004. [41] Kondratieva O,Fedorov A,Slinko O,et al.Improving the technological support of dairy cattle breeding[J].BIO Web of Conferences,2021,37(9):90. [42] Gastélum-Barrios A,Soto-Zarazúa G M,Escamilla-García A,et al.Optical methods based on ultraviolet,visible,and near-infrared spectra to estimate fat and protein in raw milk:A review[J].Sensors(Basel,Switzerland),2020,20(12):3356. [43] Markov N,Stoycheva S,Hristov M,et al.Smart dairy farm —Digitalization and innovation[C].IEEE,2022:1-4. [44] 户如霞,张力,李广臣,等.智能监控系统对大型牧场奶牛繁殖性能影响的研究[J].中国乳业,2020(8):39-43. [45] Guo Y,Zhang Z,He D,et al.Detection of cow mounting behavior using region geometry and optical flow characteristics[J].Computers and Electronics in Agriculture,2019,163(8):104828. [46] Reith S,Hoy S.Review:Behavioral signs of estrus and the potential of fully automated systems for detection of estrus in dairy cattle[J].Animal(Cambridge, England),2018,12(2):398-407. [47] Cho Y,Kim J.AI-based intelligent monitoring system for estrus prediction in the livestock industry[J].Applied Sciences,2023,13(4):2442. [48] Qu Y,Sun G,Zheng B,et al.Environment monitoring system of dairy cattle farming based on multi parameter fusion[J].Information(Basel),2021,12(7):273. [49] 刘晶,金红伟,王明磊,等.智能化管理装备实现多层次、全覆盖信息化管理——农业农村部畜禽养殖机械化典型案例之三[J].中国奶牛,2021(7):54-56. [50] Ji B,Du J,Qi H,et al.Retracted:Harmless treatment and comprehensive utilization of dairy farming waste based on artificial intelligence[J].Journal of Physics.Conference Series,2021,1744(2):22004. [51] Wu D,Wang Y,Han M,et al.Using a CNN-LSTM for basic behaviors detection of a single dairy cow in a complex environment[J].Computers and Electronics in Agriculture,2021,182(3):106016. [52] 王政,宋怀波,王云飞,等.奶牛运动行为智能监测研究进展与技术趋势[J].智慧农业,2022,4(2):36-52. |
| [1] | WANG Fuying. Investigation and Analysis of Supporting Facilities and Equipment in Large-scale Dairy Farms [J]. China Dairy, 2024, 0(5): 8-8. |
| [2] | CAO Lijun, WANG Hui, DU Tingting, LIU Li, HU Yongqing. Key Points and Application Prospects of Cow Embryo Transfer Technology [J]. China Dairy, 2023, 0(9): 74-79. |
| [3] | HU Yinong, BAI Zongchun, ZHU Hongbin, TIAN Yu. Research on the Digital Characterization Index System for Ecological Environment,Physiological Health,and Growth Performance of Intelligent Cow Breeding [J]. China Dairy, 2023, 0(8): 46-49. |
| [4] | CHEN Songlin. Application of Total Productive Maintenance in Dairy Equipment Management [J]. China Dairy, 2023, 0(8): 94-98. |
| [5] | LI Peipei, WANG Jianhua, LIU Xiwu, LI Dewen. Analysis of Intelligent Technology and Equipment Application of Dairy Farming in Qingdao [J]. China Dairy, 2023, 0(7): 51-56. |
| [6] | FAN Liaoyu, LI Donghong, CHENG Yinyin, NIU Manying, TIAN Bowen, HU Jianhong, SHI Huaiping, WANG Xiaodong, XU Junhong. Physiological Functions of Soy Isoflavones and Their Application in Dairy Goat Production [J]. China Dairy, 2023, 0(5): 27-31. |
| [7] | CHEN Shanshan, LI Jing, LIU Liting, LI Chao, WU Kun. Analysis of the Application of Aptamer in the Detection of Dairy Products [J]. China Dairy, 2023, 0(5): 60-64. |
| [8] | ZHANG Juke. The Current Situation, Problems and Countermeasures of Dairy Farming in Gansu Province [J]. China Dairy, 2023, 0(5): 93-96. |
| [9] | CAO Rongchang, DU Ziju, LIU Xiaoxing, YANG Xiaowei, ZHAO Tianzhi, HUANG Jianxin. Comparison of Main Disease Incidence between Jersey Cattle and Holstein Cattle--Take Heqing County of Yunnan Province as an example [J]. China Dairy, 2023, 0(4): 61-66. |
| [10] | LIU Jianying, LI Fengxia, GUO Jianchao. Application of Dairy Herd Improvement Data in Dairy Farm [J]. China Dairy, 2023, 0(2): 44-48. |
| [11] | ZHANG Wuping. Serological Antibody Detection of Neospora Caninum from Dairy Cattle Farms in Some Areas of Fujian Province [J]. China Dairy, 2023, 0(12): 51-55. |
| [12] | LIU Hao, PENG Hua, FU Lingfang, GUO Fucun, LIU Haiming, HAN Meng, ZHU Wenqi. Research Report on the Application Status of Intelligent Management System on Dairy Farm in China [J]. China Dairy, 2023, 0(11): 2-6. |
| [13] | FU Taiyin, ZHOU Lei, WANG Hong, FANG YuBin, SUN Shumin. Basic Research on the Development of New Zealand Dairy Industry [J]. China Dairy, 2023, 0(11): 7-12. |
| [14] | GAO Shuang. Application of Sulfonamides Residues in Milk by High Performance Liquid Chromatography [J]. China Dairy, 2022, 0(6): 55-59. |
| [15] | JIANG Jingwen, LIN Siyu, YI can, WANG cong, LIU qian, WANG Yifei. Sensory Analysis Technology and Its Application in Dairy Products [J]. China Dairy, 2022, 0(2): 110-116. |
|
||