[1]陈长喜, 张宏福, 王兆毅, 王乙丁. 畜禽健康养殖预警体系研究与应用. 农业工程学报, 2010, 26(11): 215-220.Chen C X, Zhang H F, Wang Z Y, Wang Y D. Study and application of early warning architecture of animal health culture. Transactions of the CSAE, 2010, 26(11): 215-220. (in Chinese)[2]张庆东, 田立亚. 我国畜禽养殖小区发展存在的问题及其对策. 农业工程学报, 2006, 22(增刊2): 68-70. Zhang Q D, Tian L Y. Problems and countermeasures in the development of animal raising billages. Transactions of the CSAE, 2006, 22(Suppl 2): 68-70. (in Chinese)[3]Cornou C. Automated monitoring methods for group housed SOWS[D]. Copenhagen: University of Copenhagen, 2007.[4]Mouraa D J, Silvab W T, Naas I A, Tolon Y A, Lima K A O, Vale M M. Real time computer stress monitoring of piglets using vocalization analysis. Computers and Electronics in Agriculture, 2008, 64(1): 11-18.[5]常纪文. 动物福利与动物权利之法学辨析. 昆明理工大学学报: 社科(法学)版, 2007, 7(7): 6-8.Chang J W. On legal relations between animal welfare and animal right. Journal of Kunming University of Science and Technology, 2007, 7(7): 6-8. (in Chinese)[6]Clapham M W, Fedders M J, Beeman K, Neel J P S. Acoustic monitoring system to quantify ingestive behavior of free-grazing cattle. Computers and Electronics in Agriculture, 2011, 76(1): 96-104.[7]Milone D H, Rufiner H L, Galli J R, Lacaf E A, Cangiano C A. Computational method for segmentation and classification of ingestive sounds in sheep. Computers and Electronics in Agriculture, 2009, 65(2): 228-237.[8]Ferrari S, Silva M, Guarino M, Aerts J M, Berckmans D. Cough sound analysis to identify respiratory infection in pigs. Computers and Electronics in Agriculture, 2008, 64(2): 318-325.[9]Silva M, Exadaktylos V, Ferrari S, Guarino M, Aerts J M, Berckmans D. The influence of respiratory disease on the energy envelope dynamics of pig cough sounds. Computers and Electronics in Agriculture, 2009, 69(1): 80-85.[10]Silva M, Ferrari S, Costa A, Aerts J M, Guarino M, Berckmans D. Cough localization for the detection of respiratory diseases in pig houses. Computers and Electronics in Agriculture, 2008, 64(2): 286-292.[11]Jahns G. Call recognition to identify cow conditions—a call-recognizer translating calls to text. Computers and Electronics in Agriculture, 2008, 62(1): 54-58.[12]Ikeda Y, Ishii Y. Recognition of two psychological conditions of a single cow by her voice. Computers and Electronics in Agriculture, 2008, 62(1): 67-72.[13]Lind M N, Vinther M, Hemmingsen P R, Hansen A K. Validation of a digital video tracking system for recording pig locomotor behaviour. Journal of Neuroscience Methods, 2005, 143(2): 123-132.[14]Ahrendt P, Gregersen T, Henrik K. Development of a real-time computer vision system for tracking loose-housed pigs. Computers and Electronics in Agriculture, 2011, 76(2): 169-174.[15]Cangar O, Leroy T, Guarino M, Vrankena E, Fallonc R, Lenehanc J, Meed J, Berckmans D. Automatic real-time monitoring of locomotion and posture behaviour of pregnant cows prior to calving using online image analysis. Computers and Electronics in Agriculture, 2008, 64(1): 53-60.[16]Bin S, Xin H W. A real-time computer vision assessment and control of thermal comfort for group-housed pigs. Computers and Electronics in Agriculture, 2008, 62(1): 15-21.[17]朱伟兴, 浦雪峰, 李新城, 陆晨芳. 基于行为监测的疑似病猪自动化识别系统, 农业工程学报, 2010, 26(1):188-192.Zhu W X, Pu X F, Li X C, Lu C F. Automatic identification system of pigs with suspected case based on behavior monitoring. Transactions of the CSAE, 2010, 26(1):188-192. (in Chinese)[18]Song X Y, Leroy T, Vranken E, Maertens W, Sonck B, Berckmans D. Automatic detection of lameness in dairy cattle—Vision-based trackway analysis in cow's locomotion. Computers and Electronics in Agriculture, 2008, 64(1): 39-44.[19]Akyildiz I F. Wireless sensor network: a survey. Computer Networks, 2002, 38: 393-422.[20]Ning W, Zhang N Q, Wang M H. Wireless sensors in agriculture and food industry—recent development and future perspective. Computers and Electronics in Agriculture, 2006, 50(1): 1-14.[21]滕翠凤, 赵德安, 赵建波. 多传感器数据融合在猪舍环境中的应用. 传感器与微系统, 2009, 28(12):109-112.Teng C F, Zhao D A, Zhao J B. Application of multi-sensor data fusion in piggery environment. Transducer and Microsystem Technologies. 2009, 28(12):109-112. (in Chinese)[22]俞守华, 区晶莹, 张洁芳. 猪舍有害气体测定与温度智能控制算 法. 农业工程学报,2010, 26(7):290-294.Yu S H, Ou J Y, Zhang J F. Harmful gases determination and temperature intelligent control algorithm in piggery. Transactions of the CSAE, 2010, 26(7):290-294. (in Chinese)[23]赵建洋, 丁卫红. 基于3G流媒体的养殖厂远程监测控制系统研究. 计算机测量与控制,2009, 17(12):2400-2402.Zhao J Y, Ding W H. Research on remote monitor the control system based on 3G streaming media. Computer Measurement & Control, 2009, 17(12):2400-2402. (in Chinese)[24]柳平增, 毕树生, 苗 良, 苏 平, 薛新宇. 畜禽规模养殖环境智能调控系统的研制. 计算机测量与控制, 2009, 17(7): 1316-1319.Liu P Z, Bi S S, Miao L, Su P, Xue X Y. Design of intelligent environment control system for massive livestock breeding. Computer Measurement & Control, 2009, 17(7): 1316-1319. (in Chinese)[25]Hwang J, Hyun Y. Study of the ubiquitous hog farm system using wireless sensor networks for environmental monitoring and facilities control. Sensors, 2010(10): 10752-11077.[26]Eigenberg R A, Brandl B T, Nineaber J A. Sensors for dynamic physiological measurements. Computers and Electronics in Agriculture, 2008, 62(1): 41-47.[27]Martinez A, Schoenig S, Andresen D, Warren S. Ingestible pill for heart rate and core temperature measurement in cattle//28th Annual Conference of the IEEE EMBS. New York, NY, 2006: 3190-3193.[28]Warren S, Martinez A, Sobering T, Andresen D. Electrocardiographic pill for cattle heart rate determination//30th Annual International IEEE EMBS Conference. Columbia, Canada, 2008: 4852-4855.[29]Hoskins S, Sobering T, Andresen D, Warren S. Near-Field wireless magnetic link for an ingestible cattle health monitoring pill. Annual international Conference of the IEEE Engineering in Medicine and Biology Society. Minneapolis, MN, 2009: 5401-5404.[30]Darr M, Epperson W. Embedded sensor technology for real time determination of animal lying time. Computers and Electronics in Agriculture, 2009, 66(1): 106-111.[31]Robert B, White B J, Renter D G, Larson R L. Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle. Computers and Electronics in Agriculture, 2009, 67(1/2): 80-84.[32]Cornou C. Classification of sows' activity types from acceleration patterns using univariate and multivariate model. Computers and Electronics in Agriculture, 2010, 72(2): 53-60.[33]Cornou C. Modelling and monitoring sows' activity types in farrowing house using acceleration data. Computers and Electronics in Agriculture, 2011, 76(2): 316-324.[34]Cornou C. Sows' activity classification device using acceleration data–a resource constrained approach. Computers and Electronics in Agriculture, 2011, 77(1): 110-117.[35]Brehme U, Stollberg U, Holz R, Schleusener T. ALT pedometer— new sensor-aided measurement system for improvement in oestrus detection. Computers and Electronics in Agriculture, 2008, 62(1): 73-80.[36]Andonovic I, Michie C, Gilroy M, Goh H G, Kwong K H, Sasloglou K, Wu T. Wireless sensor networks for cattle health monitoring//ICT Innovations Conference 2009. Ohrid, Macedonia, Springer, 2010: 21-31.[37]Kwong K H,Wu T T,Goh H G,Stephen B, Gilroy M, Michie C, Andonovic I. Wireless sensor networks in agriculture:Cattle monitoring for farming industries. Progress In Electro-magnetics Research Symposium, 2009, 5(1): 1719-1723.[38]Nadimi E S, Sogaardc H T, Bak T. ZigBee-based wireless sensor networks for classifying the behaviour of a herd of animals using classification trees. Biosystems Engineering, 2008, 100(2): 167-176.[39]Watanabe N, Sakanoue S, Kawamura K, Kozakai T. Development of an automatic classification system for eating, ruminating and resting behavior of cattle using an accelerometer. Grassland Science, 2008, 54(4): 231-237.[40]Guo Y, Corke P, Poulton G, Wark T, Hurley G B, Swain D. Animal behaviour understanding using wireless sensor networks. Proceedings of 31st IEEE Conference on Local Computer Networks. Tampa, FL, 2006: 607-614.[41]Guo Y, Poulton G, Corke P, Hurley G J B, Wark T, Swain D L. Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model. Ecological Modeling, 2009, 220(17): 2068-2075.[42]尹 令, 刘财兴, 洪添胜, 周皓恩, Kwong K H. 基于无线传感器网络的奶牛行为特征监测系统设计. 农业工程学报, 2010, 26(3): 203-208.Yin L, Liu C X, Hong T S, Zhou H E, Kwong K H.Design of system for monitoring dairy cattle's behavioral features based on wireless sensor networks. Transactions of the CSAE, 2010,26(3): 203-208. (in Chinese)[43]尹 令, 洪添胜, 刘迎湖, 刘财兴. 基于无线传感器网络支持向量机奶牛行为特征识别. 传感技术学报, 2011, 24(3): 458-462.Yin L, Hong T S, Liu Y H, Liu C X. Cow behavioral features recognition using binary decision tree support vector machines based on wireless sensor network. Chinese Journal of Sensors and Actuators, 2011, 24(3): 458-462. (in Chinese)[44]Chapinal N, Veira D M, Weary D M, Keyserlingk M A G. Technical note: Validation of a system for monitoring individual feeding and drinking behavior and intake in group-housed cattle drinking behavior and intake in group-housed cattle. Journal of Dairy Science, 2007, 90(12): 5732-5736.[45]康瑞娟, 张小栓, 傅泽田, 穆维松. 基于PDA和FSM的肉牛养殖可追溯信息采集与传输方法. 农业工程学报, 2010, 26(1): 227-231.Kang R J, Zhang X S, Fu Z T, Mu W S. Method of traceability information acquisition and transmission for beef cattle sector based on PDA and FSM. Transactions of the CSAE, 2010, 26(1): 227-231. (in Chinese)[46]庞 超, 何东健, 李长悦, 黄 超, 郑李鹏. 基于RFID与WSN的奶牛养殖溯源信息采集与传输方法. 农业工程学报, 2011, 27(9): 147-152.Pang C, He D J, Li C Y, Huang C, Zheng L P. Method of traceability information acquisition and transmission for dairy cattle based on integrating of RFID and WSN. Transactions of the CSAE, 2011, 27(9): 147-152. (in Chinese)[47]熊本海, 傅润亭, 林兆辉, 罗清尧, 杨 亮. 散养模式下猪只个体标识及溯源体系的建立. 农业工程学报, 2009,25(3): 98-102.Xiong B H, Fu R T, Lin Z H, Luo Q Y, Yang L. Identification of swine individuals and construetion of traceability system under free-range pig-rearing system. Transactions of the CSAE, 2009, 25(3):98-102. (in Chinese)[48]李明学, 黄立平. RFID在农业中的应用研究. 安徽农业科学, 2007, 35(20): 6333-6334.Li M X, Huang L P. Application research of RFID in agriculture. Journal of Anhui Agricultural Sciences, 2007, 35(20): 6333- 6334.(in Chinese)[49]朱会霞, 王福林, 索瑞霞. 物联网在中国现代农业中的应用. 中国农学通报,2011, 27(2): 310-314.Zhu H X, Wang F L, Suo R X. The Application of the Internet of Things in China Modern Agriculture. Chinese Agricultural Science Bulletin, 2011, 27(2): 310-314. (in Chinese)[50]Intrakamhaeng M, Chavananikul V, Suriyasombbon A. Financial feasibility study of radio frequency identification (RFID) implementation in pig and dairy farms//Proceedings of the 6th Chulalongkorn University Veterinary Annual Conference, Bangkok, Thailand, 2007: 86.[51]Reiners K, Hegger A, Hessel F E, Böckb S, Wendl G, Vandenweghe H F A. Application of RFID technology using passive HF transponders for the individual identification of weaned piglets at the feed trough. Computers and Electronics in Agriculture, 2009, 68(2): 178-184.[52]钟芳葵. 基于RFID和ARM嵌入式技术的猪行为自动监测系统设计. 镇江: 江苏大学, 2010.Zhong F K. Design of automated monitoring system of pig behavior based on RFID and ARM-LINUX. Zhenjiang: Jiangsu University, 2010. (in Chinese)[53]Ostersen T, Cornou C, Kristensen A R. Detecting oestrus by monitoring sows' visits to a boar. Computers and Electronics in Agriculture, 2010, 74(1): 51-58.[54]Tu X Y, Du S X, Tang L, Xin H W, Wood B. A real-time automated system for monitoring individual feed intake and body weight of group housed turkeys. Computers and Electronics in Agriculture, 2011, 75(2): 313-320. |