China Swine Industry ›› 2026, Vol. 21 ›› Issue (4): 66-86.doi: 10.16174/j.issn.1673-4645.2026.04.010
• Special Report • Previous Articles Next Articles
KANG Ming1,2#, ZHU Jun1,3#, ZHAO Wenwen1,3, ZHOU Hong4, ZHAO Yuliang1,3, JIA Nan1,3, WANGZhibin1,3, YUE Jianmin1,3, LI Bin1,3*
1Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
2College of Engineering and Technology,Tianjin Agricultural University, Tianjin 300384, China;
3Nongxin Technology (Tianjin) Limited Liability Company, Tianjin 301600, China;
4Northeast Agricultural University, Harbin 150006, China
CLC Number:
| [1] 张培奇, 王帅杰. 牧原: 养猪每个环节都有智能设备[N]. 农民日报, 2022-03-14(006). ZHANG P Q, WANG S J. Muyuan: there are smart devices in every aspect of raising pigs[J]. Farmers’ Daily, 2022-03-14(006). [2] 孟庆利. 猪场数字智能化管理系统实践[J]. 中国猪业, 2022, 17(4): 96-98. MENG Q L. Practice of digital intelligent management system in pig farms [J]. China Swine Industry, 2022, 17(4): 96-98. [3] WANG S L, JIANG H H, QIAO Y L, et al. The research progress of vision-based artificial intelligence in smart pig farming[J]. Sensors, 2022, 22(17): 6541. [4] SUN H Q, PALAOAG T D, QUAN Q L. Design of pig farm environment regulation and video monitoring system based on livestock Internet of Things orbital inspection robot[C]//2024 7th International Conference on Communication Engineering and Technology (ICCET). February 22-24, 2024. Tokyo, Japan. IEEE, 2024: 25-30. [5] 于洲, 王浩, 齐仁立, 等. 猪舍智能清洁机器人研究与应用进展[J]. 农业工程学报, 2025, 41(2): 1-11. YU Z, WANG H, QI R L, et al. Research and application progress on intelligent cleaning robots in pigsties[J]. Transactions of the Chinese Society of Agricultural Engineering, 2025, 41(2): 1-11. [6] 张护, 孔凡勇, 陈永军, 等. 猪场巡检机器人技术及在大数据挖掘中的作用[J]. 养猪, 2022(5): 3-6. ZHANG H, KONG F Y, CHEN Y J, et al. Pig farm inspection robot technology and its role in big data mining [J]. Swine Production, 2022(5): 3-6. [7] ZHOU L Y, HAO L Q, XIONG Y J, et al. Research progress of robotic technologies and applications in smart pig farms[J]. Agriculture, 2026, 16(3): 334. [8] 易良杰, 王剑. 红外体温测量在生猪检疫中的可行性探索[J]. 中国动物检疫, 2021, 38(9): 46-48. YI L J, WANG J. Feasibility of infrared thermometers in live pig quarantine[J]. China Animal Health Inspection, 2021, 38(9): 46-48. [9] 李嘉豪. 猪舍环境智能巡检与监控机器人系统研究[D]. 赣州: 江西理工大学, 2022. LI J H. Research on intelligent inspection and monitoring robotsystem for pig house environment[D]. Ganzhou: Jiangxi University of Science and Technology, 2022. [10] 刘艳昌, 吴纪红, 徐加乐, 等. 基于机器人的猪舍空气质量智能监控系统[J]. 家畜生态学报, 2018, 39(8): 65-71. LIU Y C, WU J H, XU J L, et al. Intelligent monitoring system of piggery air quality based on robot[J]. Acta Ecologae Animalis Domastici, 2018, 39(8): 65-71. [11] 张丽雯. 基于深度学习的群养生猪的视频行为识别与跟踪[D]. 无锡: 江南大学, 2024. ZHANG L W. Behavior recognition and tracking of group-housed pigs based on video and deep learning[D]. Wuxi: Jiangnan University, 2024. [12] 曾繁国, 朱君, 王海峰, 等. 改进帧间差分-深度学习识别群养猪只典型行为[J]. 农业工程学报, 2022, 38(15): 170-178. ZENG F G, ZHU J, WANG H F, et al. Typical behavior recognition of herd pigs based on improved frame difference and deep learning[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(15): 170-178. [13] 赵文文, 王海峰, 朱君, 等. 猪舍消杀巡检机器人系统设计与试验[J]. 农业机械学报, 2022, 53(S2): 270-277. ZHAO W W, WANG H F, ZHU J, et al. Design and experiment of inspection robot system for piggery disinfection[J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(S2): 270-277. [14] 冯志刚. 智能养猪设备应用进展及发展趋势[J]. 猪业观察, 2024(1): 44-46. FENG Z G. Application progress and development trend of intelligent pig-raising equipment[J]. Swine Industry Outlook, 2024(1): 44-46. [15] 邹亮. 基于STM32的挂轨式猪舍巡检机器人研究设计[D]. 保定: 河北农业大学, 2023. ZOU L. Research and design of STM32-based hanging-rail piggery inspection robot[D]. Baoding: Hebei Agricultural University, 2023. [16] 邹亮, 李东明, 彭小雪, 等. 一种猪舍挂轨巡检机器人: CN202310042977.9[P]. 2023-09-01. ZOU L, LI D M, PENG X X, et al. A pigsty hanging track inspection robot:: CN202310042977.9[P]. 2023-09-01. [17] 刘龙申, 周杰, 蒋涛, 等. 一种基于巡检机器人的哺乳期母仔猪行为一体化检测系统: CN202410424837.2[P]. 2024-07-12. LIU L S, ZHOU J, JIANG T, et al. An integrated detection system for the behavior of lactating sows and piglets based on inspection robots: CN202410424837.2[P]. 2024-07-12. [18] 钟涛. 轨道式巡检机器人的机械结构设计[J]. 中国机械, 2024(13): 10-14. ZHONG T. Mechanical structure design of rail inspection robot[J]. Machine China, 2024(13): 10-14. [19] 李俞浩. 基于轨道机器人的猪舍环境监控系统研究[D]. 新乡: 河南科技学院, 2024. LI Y H. Research on piggery environmental monitoring system based on track inspection robot[D]. Xinxiang: Henan Institute of Science and Technology, 2024. [20] 付成果, 李俞浩, 杨辉, 等. 一种猪舍轨道机器人: CN202223474308.9[P]. 2023-11-28. FU C G, LI Y H, YANG H, et al. A pigsty track robot: CN202223474308.9[P]. 2023-11-28. [21] 柳军, 郑亦峰, 皮杰, 等. 设施猪场悬挂式轨道巡检机器人设计与试验[J]. 中国农机化学报, 2024, 45(9): 47-53. LIU J, ZHENG Y F, PI J, et al. Design and experiment of suspended track inspection robot for facility pig farms[J]. Journal of Chinese Agricultural Mechanization, 2024, 45(9): 47-53. [22] 黎思奇. 温室大棚悬挂式轨道巡检机器人设计[D]. 沈阳: 沈阳农业大学, 2023. LI S Q. Design of greenhouse suspended track inspection robot[D]. Shenyang: Shenyang Agricultural University, 2023. [23] 胥若愚. 养殖场轨道式巡检机器人轨迹规划与控制研究[D]. 太原: 太原理工大学, 2022. XU R Y. Research on trajectory planning and control of farm rail inspection robot[D]. Taiyuan: Taiyuan University of Technology, 2022. [24] 岳健民, 朱君, 刘胤池, 等. 猪舍智能作业机器人导航技术研究进展[J]. 中国猪业, 2024, 19(3): 15-23. YUE J M, ZHU J, LIU Y C, et al. Research progress on navigation technology of intelligent operation robots in pigstys[J]. China Swine Industry, 2024, 19(3): 15-23. [25] 代云勇. 畜牧养殖场环境巡检机器人的建图及导航研究[D]. 赣州: 江西理工大学, 2020. DAI Y Y. Research on mapping and navigation of environment inspection robot in animal husbandry farm[D]. Ganzhou: Jiangxi University of Science and Technology, 2020. [26] 秦英林, 张玉良, 侯旭, 等. 一种地面巡检机器人: CN202020418678.2[P]. 2020-12-04. QIN Y L, ZHANG Y L, HOU X, et al. A ground inspection robot: CN202020418678.2[P]. 2020-12-04. [27] 高金喆, 寇志伟, 孔哲, 等. 基于激光雷达的牧场巡检机器人定位与建图算法设计[J]. 中国农机化学报, 2024, 45(4): 222-230. GAO J Z, KOU Z W, KONG Z, et al. Design of location and mapping algorithm of pasture inspection robot based on LiDAR[J]. Journal of Chinese Agricultural Mechanization, 2024, 45(4): 222-230. [28] 郭昭东. 智能化猪舍巡检机器人设计与环境预警决策系统[D]. 太谷: 山西农业大学, 2024. GUO Z D. Intelligent pig house inspection robot design and environmental early warning decision-making[D]. Taigu: Shanxi Agricultural University, 2024. [29] 赵宁磊, 程曼, 袁洪波, 等. 羊舍自主巡检机器人设计与试验[J]. 中国农机化学报, 2025, 46(1): 78-84. ZHAO N L, CHENG M, YUAN H B, et al. Design and experiment of autonomous inspection robot for sheep house[J]. Journal of Chinese Agricultural Mechanization, 2025, 46(1): 78-84. [30] DENG H F, ZHANG T M, LI K, et al. Visual navigation of caged chicken coop inspection robot based on road features[J]. Animals, 2024, 14(17): 2515. [31] 肖德琴, 刘勤, 陈丽, 等. 设施猪场生猪体温红外巡检系统设计与试验[J]. 农业机械学报, 2019, 50(7): 194-200. XIAO D Q, LIU Q, CHEN L, et al. Design and experiment of infrared inspection system for pig body temperature in facility farm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(7): 194-200. [32] 林彦伯. 猪舍智能巡检系统研究[D]. 天津: 河北工业大学, 2023. LIN Y B. Research on intelligent inspection system of pig house[D]. Tianjin: Hebei University of Technology, 2023. [33] CHEN C, LIU X Q, LIU C J, et al. Prediction and evaluation of environmental quality for nursing sow buildings via multisource sensor information fusion[J]. Scientific Reports, 2025, 15: 14091. [34] 李嘉豪, 刘飞飞, 伍昕宇, 等. 面向猪舍环境的感知机器人系统和改进综合评价模型设计[J]. 东北农业大学学报, 2021, 52(11): 67-79. LI J H, LIU F F, WU X Y, et al. Design of aware robot system and improved comprehensive evaluation model for piggery environment[J]. Journal of Northeast Agricultural University, 2021, 52(11): 67-79. [35] 吴张勇, 纪书保. 基于挂轨机器人的智能巡检系统研究[J]. 现代信息科技, 2024, 8(8): 60-63, 68. WU Z Y, JI S B. Research on intelligent inspection system based on rail hanging robot[J]. Modern Informationn Technology, 2024, 8(8): 60-63, 68. [36] 刘志豪, 荣丽红, 仝志民, 等. 基于物联网技术的猪舍环境适宜度评价系统研究[J]. 黑龙江畜牧兽医, 2025(7): 50-57. LIU Z H, RONG L H, TONG Z M, et al. Research on the evaluation system of pigsty environmental suitability based on Internet of things technology[J]. Heilongjiang Animal Science and Veterinary Medicine, 2025(7): 50-57. [37] ARULMOZHI E, BHUJEL A, DEB N C, et al. Development and validation of low-cost indoor air quality monitoring system for swine buildings[J]. Sensors, 2024, 24(11): 3468. [38] WU Z D, XU K X, CHEN Y W, et al. A new prediction model based on deep learning for pig house environment[J]. Scientific Reports, 2024, 14: 31141. [39] SUN X F, WANG S C, XIE Q J, et al. Variations of multiple environmental factors and multi-objective optimisation control in a pig house[J]. Biosystems Engineering, 2025, 259: 104300. [40] 廖维连, 陆乃升, 姜雪元, 等. 湿帘降温系统种公猪舍温热环境与公猪产精性能关系的分析[J]. 上海畜牧兽医通讯, 2025(2): 1-5, 15. LIAO W L, LU N S, JIANG X Y, et al. Analysis on the relationship between the warm environment of boar house and the sperm production performance of boar in wet curtain cooling system[J]. Shanghai Journal of Animal Husbandry and Veterinary Medicine, 2025(2): 1-5, 15. [41] 邓永涛, 尹苗, 王聪, 等. 猪舍环境影响因子预测模型的研究进展[J]. 家畜生态学报, 2025, 46(2): 122-128. DENG Y T, YIN M, WANG C, et al. Advances in prediction models for environmental impact factors in pigsty[J]. Journal of Domestic Animal Ecology, 2025, 46(2): 122-128. [42] 冯建强. 猪舍环境对猪群健康的影响与控制措施[J]. 四川畜牧兽医, 2024, 51(1): 41-42, 45. FENG J Q. Influence of piggery environment on pig health and its control measures[J]. Sichuan Animal & Veterinary Sciences, 2024, 51(1): 41-42, 45. [43] 欧崇跃, 蒙珊. 中小型猪舍环境影响猪群健康的因素和防控措施[J]. 今日养猪业, 2024(4): 42-44. OU C Y, MENG S. Factors affecting pig herd health in small and medium-sized pigsties and corresponding prevention and control measures[J]. Pigs Today, 2024(4): 42-44. [44] 王志强, 李林晗. 猪舍环境对猪群健康的影响与猪舍环境调控措施[J]. 农业工程技术, 2024, 44(33): 93-94. WANG Z Q, LI L H. Influence of piggery environment on pig health and control measures of piggery environment[J]. Agricultural Engineering Technology, 2024, 44(33): 93-94. [45] 张新中. 猪舍环境及温湿度对母猪生产性能的影响[J]. 养殖与饲料, 2024, 23(11): 53-56. ZHANG X Z. The impact of pigsty environment, temperature, and humidity on sow production performance[J]. Animals Breeding and Feed, 2024, 23(11): 53-56. [46] 谢秋菊, 李佳龙, 曹世蕾, 等. 基于时序序列的猪舍环境综合评价方法研究[J]. 农业机械学报, 2024, 55(12): 430-440. XIE Q J, LI J L, CAO S L, et al. Comprehensive evaluation method of pig house environment based on time series sequences[J]. Transactions of the Chinese Society for Agricultural Machinery, 2024, 55(12): 430-440. [47] 代静. 猪舍内部环境的控制[J]. 新农民, 2024(27): 115-117. DAI J. Control of internal environment in pigsty[J]. New Farmers, 2024(27): 115-117. [48] 崔琼, 刘勇, 徐顺来. 猪舍环境的多参数无模型自适应控制算法设计[J]. 华南农业大学学报, 2024, 45(5): 702-708. CUI Q, LIU Y, XU S L. Design of multi-parameter model-free adaptive control algorithm for pig house environment[J]. Journal of South China Agricultural University, 2024, 45(5): 702-708. [49] 徐升声, 布世军, 钟汝平. 环境控制技术在现代化生猪养殖中的的应用[J]. 北方牧业, 2024(14): 15. XU S S, BU S J, ZHONG R P. The application of environmental control technology in modern pig farming[J]. Beifang Muye, 2024(14): 15. [50] 王兴家, 张霞, 穆元杰, 等. 基于物联网的猪舍环境监测系统[J]. 现代农业装备, 2024, 45(3): 54-62. WANG X J, ZHANG X, MU Y J, et al. Environmental monitoring system of pig house based on Internet of Things[J]. Modern Agricultural Equipments, 2024, 45(3): 54-62. [51] 周昕, 冯钧哲, 徐杏, 等. 猪舍环境精准控制模型及其优化算法[J]. 中国猪业, 2024, 19(3): 24-33. ZHOU X, FENG J Z, XU X, et al. Precise control model and optimization algorithm for piggery environment[J]. China Swine Industry, 2024, 19(3): 24-33. [52] 谢绍源. 贴附送风模式猪舍空气环境调控研究[D]. 西安: 西安建筑科技大学, 2024. XIE S Y. Study on wall-based attachment ventilation controling pig house air environment[D]. Xi’an: Xi’an University of Architecture and Technology, 2024. [53] 王恩宇, 苏永屹, 于浦, 等. 基于CFD与TRNSYS的圆形猪舍内环境控制研究[J]. 黑龙江畜牧兽医, 2024(10): 47-54, 112. WANG E Y, SU Y Y, YU P, et al. Research on environment control in circular pig house based on CFD and TRNSYS[J]. Heilongjiang Animal Science and Veterinary Medicine, 2024(10): 47-54, 112. [54] 刘炫文. 基于机器学习的猪舍温湿度预测模型研究[D]. 南昌: 江西农业大学, 2024. LIU X W. Study of temperature and humidity prediction model of pigsty based on machine learning[D]. Nanchang: Jiangxi Agricultural University, 2024. [55] 张慧, 孔扬, 董荣伟, 等. 基于STM32的规模化畜禽养殖环境巡检机器人系统设计与实现[J]. 现代畜牧科技, 2025(3): 137-139. ZHANG H, KONG Y, DONG R W, et al. Design and realization of a large-scale livestock and poultry environment inspection robot system based on STM32[J]. Modern Animal Husbandry Science & Technology, 2025(3): 137-139. [56] 王梦雨. 基于深度神经网络的猪只咳嗽声识别预警系统设计与实现[D]. 南京: 南京农业大学, 2022. WANG M Y. Design and implementation of pig cough sound recognition and early warning system based on deep neural[D]. Nanjing: Nanjing Agricultural University, 2022. [57] BRIEFER E F, SYPHERD C C R, LINHART P, et al. Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production[J]. Scientific Reports, 2022, 12: 3409. [58] WU X, ZHOU S L, CHEN M W, et al. Combined spectral and speech features for pig speech recognition[J]. PLoS One, 2022, 17(12): e0276778. [59] PANN V, KWON K S, KIM B, et al. DCNN for pig vocalization and non-vocalization classification: evaluate model robustness with new data[J]. Animals, 2024, 14(14): 2029. [60] LIAO J, LI H X, FENG A, et al. Domestic pig sound classification based on TransformerCNN[J]. Applied Intelligence, 2023, 53(5): 4907-4923. [61] 樊项盛. 圈养猪只音频识别算法研究[D]. 太谷: 山西农业大学, 2022. FAN X S. Research on audio recognition algorithm of captive pigs[D]. Taigu: Shanxi Agricultural University, 2022. [62] 张栖铭, 袁瑞临, 范凡, 等. 基于SVM算法的猪声音识别的研究[J]. 电脑知识与技术, 2017, 13(10): 162-164. ZHANG Q M, YUAN R L, FAN F, et al. Pigs voice recognition research based on SVM algorithm[J]. Computer Knowledge and Technology, 2017, 13(10): 162-164. [63] 袁瑞临, 张栖铭, 王峰, 等. 基于HTK的嵌入式猪只声音识别系统设计[J]. 电脑知识与技术, 2017, 13(4): 186-188. YUAN R L, ZHANG QM, WANG F, et al. The design of embedded voice recognition system based on HTK in pigs[J]. Computer Knowledge and Technology, 2017, 13(4): 186-188. [64] 耿艳利, 宋朋首, 林彦伯, 等. 采用改进CNN对生猪异常状态声音识别[J]. 农业工程学报, 2021, 37(20): 187-193. GENG Y L, SONG P S, LIN Y B, et al. Voice recognition of abnormal state of pigs based on improved CNN[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(20): 187-193. [65] 胡斐悦. 基于红外热成像技术的群养保育猪体温异常识别方法研究[D]. 杭州: 浙江大学, 2023. HU F Y. Research on identification method of group-housed nursery pigs with abnormal body temperature using infrared thermography[D]. Hangzhou: Zhejiang University, 2023. [66] 周丽萍. 生猪发热及蓝耳疫情检测方法与巡检消毒装备研究[D]. 北京: 中国农业机械化科学研究院, 2016. ZHOU L P. Study on non-contact detection of temperature and PRRS for pig and disinfection equipment in swine house[D]. Beijing: Chinese Academy of Agricultural Mechanization Sciences, 2016. [67] 刘勤. 基于热红外图像的生猪体温巡检技术研究[D]. 广州: 华南农业大学, 2019. LIU Q. Research on pig body temperature inspection technology based on thermal infrared image[D]. Guangzhou: South China AgriculturalUniversity, 2019. [68] 马丽, 张旭东, 邢子正, 等. 基于骨架扫描策略的生猪耳根体表温度FDSST检测方法[J]. 农业机械学报, 2020, 51(S1): 371-377. MA L, ZHANG X D, XING Z Z, et al. FDSST detection method for pig ear base surface temperature based on skeleton scanning strategy[J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51(S1): 371-377. [69] ZHANG B, XIAO D Q, LIU J B, et al. Pig eye area temperature extraction algorithm based on registered images[J]. Computers and Electronics in Agriculture, 2024, 217: 108549. [70] XIE Q J, WU M R, BAO J, et al. A deep learning-based detection method for pig body temperature using infrared thermography[J]. Computers and Electronics in Agriculture, 2023, 213: 108200. [71] XIANG R, ZHANG Y, LIN H J, et al. Body temperature detection of group-housed pigs based on the pairing of left and right ear roots in thermal images[J]. Animals, 2025, 15(5): 642. [72] ZHANG C Z, WU X P, XIAO D Q, et al. An automatic ear temperature monitoring method for group-housed pigs adopting infrared thermography[J]. Animals, 2025, 15(15): 2279. [73] BEKHIT R, REIMERT I. A complete pipeline to extract temperature from thermal images of pigs[J]. Sensors, 2025, 25(3): 643. [74] 张在芹. 基于红外图像的种猪体温检测方法研究[D]. 天津: 天津农学院, 2019. ZHANG Z Q. Pig body temperature detection method based on infrared image[D]. Tianjin: Tianjin AgriculturalUniversity, 2019. [75]孟珍琪. 基于红外技术的生猪体温自动检测的研究[D]. 天津: 天津农学院, 2018. MENG Z Q. Research on the automatic temperature detection of pig temperature based on infrared technology[D]. Tianjin: Tianjin Agricultural University, 2018. [76]孟祥雪. 红外热像仪在母猪皮温现场检测中的应用[D]. 哈尔滨: 东北农业大学, 2016. MENG X X. Application of infrared thermography in the field detection of sow’s skin temperature[D]. Harbin: Northeast Agricultural University, 2016. [77] 谢杰, 龚鸣敏. 基于隐马尔科夫模型的猪只声音分类监测方法[J]. 中南农业科技, 2025, 46(1): 104-109. XIE J, GONG M M. Hidden Markov model-based pig sound classification monitoring method[J]. South-Central Agricultural Science and Technology, 2025, 46(1): 104-109. [78] 董力中, 孟祥宝, 潘明, 等. 基于姿态与时序特征的猪只行为识别方法[J]. 农业工程学报, 2022, 38(5): 148-157. DONG L Z, MENG X B, PAN M, et al. Recognizing pig behavior on posture and temporal features using computer vision[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(5): 148-157. [79] 漆海霞, 冯发生, 尹选春, 等. 轻量级多场景群养猪只行为识别模型研究[J]. 农业机械学报, 2024, 55(10): 306-317. QI H X, FENG F S, YIN X C, et al. Research of lightweight multi-scene group pig behavior recognition model[J]. Transactions of the Chinese Society for Agricultural Machinery, 2024, 55(10): 306-317. [80] 仝志民, 徐天哲, 石传淼, 等. 基于CBCW-YOLO v8的猪只行为识别方法研究[J]. 农业机械学报, 2025, 56(2): 411-419. TONG Z M, XU T Z, SHI C M, et al. Pig behavior recognition based on CBCW-YOLO v8 model[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025, 56(2): 411-419. [81] 郑拓, 袁丽峰, 田晨, 等. 基于改进YOLO v8n的猪只行为识别[J]. 江苏农业科学, 2025, 53(20): 135-144. ZHENG T, YUAN L F, TIAN C, et al. Recognition of pig behavior based on improved YOLO v8n[J]. Jiangsu Agricultural Sciences, 2025, 53(20): 135-144. [82] 陈虹余, 尹令, 杨明, 等. 视觉和传感器融合的多模态猪只行为识别[J]. 农业工程学报, 2025, 41(8): 194-203. CHEN H Y, YIN L, YANG M, et al. Multimodal recognition of pig behavior using vision and sensors[J]. Transactions of the Chinese Society of Agricultural Engineering, 2025, 41(8): 194-203. [83] WANG Z Y, LI Q F, YU Q Y, et al. A review of visual estimation research on live pig weight[J]. Sensors, 2024, 24(21): 7093. [84] 范东峰. 鸡舍智能巡检机器人软件系统设计与实现[D]. 哈尔滨: 哈尔滨工程大学, 2024. FAN D F. Design and implementation of software system for intelligent inspection robot in chicken house[D]. Harbin: Harbin Engineering University, 2024. [85] LI Y H, FU C G, YANG H, et al. Design of a closed piggery environmental monitoring and control system based on a track inspection robot[J]. Agriculture, 2023, 13(8): 1501. [86] 龚俊杰. 基于多目标跟踪的群养生猪饮食行为识别方法研究[D]. 哈尔滨: 东北农业大学, 2025. GONG J J. Research on the feeding behavior recognition of group-housed pigs based on multi-object tracking[D]. Harbin: Northeast Agricultural University, 2025. [87]张建飞. 基于巡检小车与借地址路由算法的养猪场无线网络监控系统[D]. 镇江: 江苏大学, 2016. ZHANG J F. Wireless network monitor system for pig farm based on patrol car and borrowed address routing algorithm[D]. Zhenjiang: Jiangsu University, 2016. [88] 梁万杰, 曹静, 凡燕, 等. 基于无线传感器网络的猪舍环境监测系统[J]. 江苏农业学报, 2013, 29(6): 1415-1420. LIANG W J, CAO J, FAN Y, et al. Environment monitoring system for swine house based on wireless sensor network[J]. Jiangsu Journal of Agricultural Sciences, 2013, 29(6): 1415-1420. [89] 赵宇亮, 曾繁国, 贾楠, 等. 基于DeepLabCut算法的猪只体尺快速测量方法研究[J]. 农业机械学报, 2023, 54(2): 249-255, 292. ZHAO Y L, ZENG F G, JIA N, et al. Rapid measurements of pig body size based on DeepLabCut algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(2): 249-255, 292. [90] WANG Z H, ZHOU S Y, YIN P, et al. GANPose: pose estimation of grouped pigs using a generative adversarial network[J]. Computers and Electronics in Agriculture, 2023, 212: 108119. [91] LU J S, CHEN Z, LI X, et al. ORP-Byte: a multi-object tracking method of pigs that combines Oriented RepPoints and improved Byte[J]. Computers and Electronics in Agriculture, 2024, 219: 108782. [92] TU S Q, CAI Y F, LIANG Y, et al. Tracking and monitoring of individual pig behavior based on YOLOv5-Byte[J]. Computers and Electronics in Agriculture, 2024, 221: 108997. [93] HE Z, GUO C Y, GUO Z J, et al. Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation[J]. Computers and Electronics in Agriculture, 2025, 229: 109716. [94] YU S, BAEK H, SON S, et al. FTO-SORT: a fast track-id optimizer for enhanced multi-object tracking with SORT in unseen pig farm environments[J]. Computers and Electronics in Agriculture, 2025, 237: 110540. [95] HAO W L, HU X Y, XUE Y K, et al. S_TransNeXtM: a pig behavior recognition model based on the TransNeXtM and the sLSTM[J]. Frontiers in Veterinary Science, 2025, 12: 1674842. [96] LEI K D, LI B G, ZHONG S, et al. Research on video behavior detection and analysis model for sow estrus cycle based on deep learning[J]. Agriculture, 2025, 15(9): 975. [97] HAO W L, ZHANG K, ZHANG L, et al. TSML: a new pig behavior recognition method based on two-stream mutual learning network[J]. Sensors, 2023, 23(11): 5092. [98] 唐雷, 赵孟春. 一种养殖猪舍环境巡检消毒机器人: CN202111156987.2[P]. 2022-01-28. TANG L. ZHAO M C. A robot for environmental inspection and disinfection in pig farming facilities: CN202111156987.2[P]. 2022-01-28. [99] 赵卫波, 李佳昕, 付强, 等. 一种用于猪场巡检的可伸缩式巡检机器人: CN202420330667.7[P]. 2024-10-01. ZHAO W B, LI J X, FU Q, et al. A retractable inspection robot for pig farm inspection: CN202420330667.7[P]. 2024-10-01. [100] 杨亮, 申瑶, 郑姗姗, 等. 一种养猪场智能巡检机器人: CN202410645300.9[P]. 2024-08-13. YANG L, SHEN Y, ZHENG S S, et al. An intelligent inspection robot for pig farms: CN202410645300.9[P]. 2024-08-13. |
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