Research progress on intelligent equipment and information technology for livestock and poultry breeding

LI Baoming; WANG Yang; ZHENG Weichao; WANG Chaoyuan

doi:10.7671/j.issn.1001-411X.202107050

Journal of South China Agricultural University > 2021 > 42(6): 18-26. > DOI: 10.7671/j.issn.1001-411X.202107050

LI Baoming, WANG Yang, ZHENG Weichao, et al. Research progress on intelligent equipment and information technology for livestock and poultry breeding[J]. Journal of South China Agricultural University, 2021, 42(6): 18-26. DOI: 10.7671/j.issn.1001-411X.202107050

Citation:

PDF (4129 KB)

Research progress on intelligent equipment and information technology for livestock and poultry breeding

LI Baoming^{1, 2,},
WANG Yang¹,
ZHENG Weichao^{1, 2},
WANG Chaoyuan^{1, 2}

1.
Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs/College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
2.
Beijing Engineering Research Center for Animal Healthy Environment, Beijing 100083, China

More Information

Received Date: July 26, 2021
Available Online: May 17, 2023

Graphical Abstract

Abstract

Abstract

The modern livestock and poultry breeding industry in China has been rapidly developing towards scalization, facility, standardization and informatization. The research, development and application of intelligent farming equipment and information technology have become the key to promote healthy and sustainable development of livestock and poultry breeding industry. It is of great significance for improving the output efficiency, reducing the dependence on labor in the production process, and achieving green and high-quality transformational development of livestock and poultry breeding industry in China. To meet the needs of quality and safety of products, healthy management, and quality-efficiency improvement of large-scale livestock and poultry production, this paper mainly summarized the latest research and application progress of intelligent equipments and information technologies, including modularized assembled animal buildings and building-thermal environment coupling regulation technology, precise monitoring and intelligent controlling technology of farming environmental parameters, intelligent feeding, drinking and dosing equipment, automatic manure removal technology and equipment, real-time information collection and intelligent management technology etc. The weak links and bottlenecks for the development of intelligent equipment and information technology of livestock and poultry breeding industry were pointed out. The development direction of mechanization and intelligent equipment of livestock farm in China was prospected. This review provides a reference for the green and high-quality transformation and upgrading, healthy and sustainable development of livestock and poultry breeding industry in China.
- livestock and poultry,
- intelligent equipment,
- environmental control,
- feeding,
- manure removal,
- informatization

FullText(HTML)

References (63)

References

[1]	李保明, 王阳, 郑炜超, 等. 中国规模化养鸡环境控制关键技术与设施设备研究进展[J]. 农业工程学报, 2020, 36(16): 212-221. doi: 10.11975/j.issn.1002-6819.2020.16.026
[2]	朱能武, 李保明, 邓昌彦, 等. 规模化畜禽养殖环境工程技术研究进展[J]. 农业工程学报, 2001, 17(7): 17-20.
[3]	汪开英, 吴捷刚, 赵晓洋. 畜禽场空气污染物检测技术综述[J]. 中国农业科学, 2019, 52(8): 1458-1474. doi: 10.3864/j.issn.0578-1752.2019.08.015
[4]	杨飞云, 曾雅琼, 冯泽猛, 等. 畜禽养殖环境调控与智能养殖装备技术研究进展[J]. 中国科学院院刊, 2019, 34(2): 163-173.
[5]	姚向君, 郝先荣, 郭宪章. 畜禽养殖场能源环保工程的发展及其商业化运作模式的探讨[J]. 农业工程学报, 2002, 18(1): 181-184. doi: 10.3321/j.issn:1002-6819.2002.01.048
[6]	韩成吉, 王国刚, 朱立志. 畜禽粪污土地承载力系统动力学模型及情景仿真[J]. 农业工程学报, 2019, 35(22): 170-180.
[7]	张庆东, 耿如林, 戴晔. 规模化猪场清粪工艺比选分析[J]. 中国畜牧兽医, 2013, 40(2): 232-235. doi: 10.3969/j.issn.1671-7236.2013.09.051
[8]	介邓飞, 泮进明, 应义斌. 规模化畜禽养殖污染气体现场检测方法与仪器研究进展[J]. 农业工程学报, 2015, 31(1): 236-246. doi: 10.3969/j.issn.1002-6819.2015.01.032
[9]	罗娟, 赵立欣, 姚宗路, 等. 规模化养殖场畜禽粪污处理综合评价指标体系构建与应用[J]. 农业工程学报, 2020, 36(17): 182-189. doi: 10.11975/j.issn.1002-6819.2020.17.022
[10]	付为森, 滕光辉, 杨艳. 种猪体重三维预估模型的研究[J]. 农业工程学报, 2006, 22(S2): 84-87.
[11]	李保明, 王阳, 郑炜超. 我国规模化养鸡环境控制技术的最新进展[J]. 中国家禽, 2019, 41(9): 1-7.
[12]	WANG Y, ZHENG W C, SHI H P, et al. Optimising the design of confined laying hen house insulation requirements in cold climates without using supplementary heat[J]. Biosystem Engineering, 2018, 174: 282-294. doi: 10.1016/j.biosystemseng.2018.07.011
[13]	王阳, 李保明. 密闭式蛋鸡舍外围护结构冬季保温性能分析与试验[J]. 农业工程学报, 2017, 33(7): 190-196. doi: 10.11975/j.issn.1002-6819.2017.07.025
[14]	王阳, 王朝元, 李保明. 蛋鸡舍冬季CO₂浓度控制标准与最小通风量确定[J]. 农业工程学报, 2017, 33(2): 240-244. doi: 10.11975/j.issn.1002-6819.2017.02.033
[15]	王阳, 郑炜超, 石海鹏, 等. 夏季鸡舍屋顶隔热改善舍内热环境及蛋鸡生产性能[J]. 农业工程学报, 2018, 34(17): 207-213. doi: 10.11975/j.issn.1002-6819.2018.17.027
[16]	WANG Y, LI B M. An optimized solar-air degree-day method to evaluate energy demand for poultry buildings in different climate zones[J]. Frontiers of Agricultural Science and Engineering, 2020, 7(4): 478-489. doi: 10.15302/J-FASE-2020320
[17]	WANG Y, LI B M, ZHENG W C. Optimum insulation thickness for the sandwich structure livestock building external envelopes in different climate regions of China[J]. International Journal of Agricultural and Biological Engineering, 2020, 13(1): 29-41. doi: 10.25165/j.ijabe.20201301.5280
[18]	WANG Y, LI B M, LIANG C, et al. Dynamic simulation of thermal load and energy efficiency in poultry buildings in the cold zone of China[J]. Computers and Electronics in Agriculture, 2020, 168: 105127. doi: 10.1016/j.compag.2019.105127
[19]	WANG Y, ZHENG W C, TONG Q, et al. Reducing dust deposition and temperature ﬂuctuations in the laying hen houses of Northwest China using a surge chamber[J]. Biosystem Engineering, 2018, 175: 206-218. doi: 10.1016/j.biosystemseng.2018.09.016
[20]	王阳, 郑炜超, 李绚阳, 等. 西北地区纵墙湿帘山墙排风系统改善夏季蛋鸡舍内热环境[J]. 农业工程学报, 2018, 34(21): 202-207. doi: 10.11975/j.issn.1002-6819.2018.21.024
[21]	WANG Y, ZHENG W C, LI B M, et al. A new ventilation system to reduce temperature fluctuations in laying hen housing in continental climate[J]. Biosystem Engineering, 2019, 181: 52-62. doi: 10.1016/j.biosystemseng.2019.02.017
[22]	王阳. 健康高效养鸡稳温机理及热环境调控规律研究[D]. 北京: 中国农业大学, 2020.
[23]	WANG X S, WU J G, YI Q Y, et al. Numerical evaluation on ventilation rates of a novel multi-floor pig building using computational fluid dynamics[J]. Computers and Electronics in Agriculture, 2021, 182: 106050. doi: 10.1016/j.compag.2021.106050
[24]	沈盼, 高岩, 张杰, 等. 现代化猪舍降低废气排放措施的应用与研究[J]. 中国猪业, 2020, 15(1): 84-86.
[25]	QIN C, WANG X S, ZHANG G Q, et al. Effects of the slatted floor layout on flow pattern in a manure pit and ammonia emission from pit: A CFD study[J]. Computers and Electronics in Agriculture, 2020, 177: 105677. doi: 10.1016/j.compag.2020.105677
[26]	李修松, 叶章颖, 李保明, 等. 不同通风模式对保育猪舍冬季环境的影响[J]. 农业机械学报, 2020, 51(3): 317-325. doi: 10.6041/j.issn.1000-1298.2020.03.036
[27]	李修松, 叶章颖, 李国铭, 等. 规模化猪场妊娠母猪舍改进湿帘降温系统的环境特性[J]. 农业工程学报, 2020, 36(20): 238-245. doi: 10.11975/j.issn.1002-6819.2020.20.028
[28]	ZHAO W Y, WANG M Z, LI H, et al. Field test and economic analysis of energy-saving renovation for an old nursery pig building in Beijing, China[J]. Applied Engineering in Agriculture, 2020, 36(5): 619-628. doi: 10.13031/aea.13655
[29]	曹哲, 施正香, 安欣, 等. 基于热成像技术的牛舍围护结构传热阻测试方法[J]. 农业工程学报, 2017, 33(24): 235-241. doi: 10.11975/j.issn.1002-6819.2017.24.031
[30]	鲁煜建, 王朝元, 赵浩翔, 等. 东北地区奶牛夏季热应激对其行为和产奶量的影响[J]. 农业工程学报, 2018, 34(16): 225-231. doi: 10.11975/j.issn.1002-6819.2018.16.029
[31]	严格齐, 李浩, 施正香, 等. 奶牛热应激指数的研究现状及问题分析[J]. 农业工程学报, 2019, 35(23): 226-233. doi: 10.11975/j.issn.1002-6819.2019.23.028
[32]	谭鹤群, 李鑫安, 艾正茂. 基于可调谐吸收光谱的畜禽舍氨气浓度检测[J]. 农业工程学报, 2020, 36(13): 186-194. doi: 10.11975/j.issn.1002-6819.2020.13.022
[33]	李帅, 李丽华, 邢雅周, 等. 基于LoRa的养鸡场有害气体监测系统设计[J]. 中国家禽, 2020, 42(9): 68-73.
[34]	董丽媛, 李丽华, 白雪洁, 等. 基于AGA-ELM的鸡舍环境因子对蛋鸡生产影响预测研究[J]. 中国家禽, 2020, 42(10): 58-64.
[35]	丁露雨, 鄂雷, 李奇峰, 等. 畜舍自然通风理论分析与通风量估算[J]. 农业工程学报, 2020, 36(15): 189-201. doi: 10.11975/j.issn.1002-6819.2020.15.024
[36]	DING L Y, LI Q F, WANG C Y, et al. Determination of the mass transfer coefficient of ammonia emissions from dairy open lots using a scale model[J]. Biosystem Engineering, 2020, 190: 145-156. doi: 10.1016/j.biosystemseng.2019.12.008
[37]	LI Q F, YAO C X, DING L Y, et al. Numerical investigation on effects of side curtain opening behavior on indoor climate of naturally ventilated dairy buildings[J]. International Journal of Agricultural and Biological Engineering, 2020, 13(5): 63-72. doi: 10.25165/j.ijabe.20201305.6033
[38]	关金森. 一种自走式撒料机: CN202652977U [P]. 2013.
[39]	孙鹏. 围产期奶牛饲养管理关键技术[M]. 北京: 中国农业科学技术出版社, 2020.
[40]	郑姗姗, 罗清尧, 杨亮, 等. 一种自调节奶水配比的猪仔补奶机: CN211268105U [P]. 2020.
[41]	ZHENG W, NI L, HUI X, et al. Optimization of slightly acidic electrolyzed water spray for airborne culturable bacteria reduction in animal housing[J]. International Journal of Agricultural and Biological Engineering, 2016, 9(4): 185-191.
[42]	NI L, CAO W, ZHENG W, et al. Reduction of microbial contamination on the surfaces of layer houses using slightly acidic electrolyzed water[J]. Poultry Science, 2015, 94(11): 2838-2848. doi: 10.3382/ps/pev261
[43]	ZHENG W, LI Z, SHAH S B, et al. Removal of ammonia and airborne culturable bacteria by proof-of-concept wind break wall with slightly acidic electrolyzed water spray for a layer breeding house[J]. Applied Engineering in Agriculture, 2016, 32(3): 393-399.
[44]	XIE Q J, NI J Q, BAO J, et al. A thermal environmental model for indoor air temperature prediction and energy consumption in pig building[J]. Build Environment, 2019, 161: 106238. doi: 10.1016/j.buildenv.2019.106238
[45]	WANG H, ZENG Y Q, PU S H, et al. Impact of slatted floor configuration on manure drainage and growth performance of finishing pigs[J]. Applied Engineering in Agriculture, 2020, 36(1): 89-94. doi: 10.13031/aea.13650
[46]	胡振楠, 孙红敏, 李晓明, 等. 猪舍自动清粪控制系统设计与实现[J]. 南方农机, 2021, 52(1): 8-11. doi: 10.3969/j.issn.1672-3872.2021.01.005
[47]	刘安芳, 阮蓉丹, 李厅厅, 等. 猪舍内粪污废弃物和有害气体减量化工程技术研究[J]. 农业工程学报, 2019, 35(15): 200-210. doi: 10.11975/j.issn.1002-6819.2019.15.025
[48]	阮蓉丹, 曾雅琼, 蒲施桦, 等. 不同机械干清粪频次对生长猪舍内环境和粪污排放的影响[J]. 中国畜牧杂志, 2019, 55(8): 126-131.
[49]	胡振楠, 孙红敏, 李晓明, 等. 基于加速度传感器的猪舍刮粪板运行状态监测装置设计与仿真[J]. 农业与技术, 2019, 39(17): 18-22.
[50]	郭小龙, 王锐, 王先伟. 畜禽舍的养殖环境控制自动化系统研究与实现[J]. 畜禽业, 2019, 30(12): 30.
[51]	王先伟, 李蕊蕊. 规模化养殖场畜禽粪污处理途径探究[J]. 农业科学, 2020(5): 179-180.
[52]	陈洪伟, 孙国安, 薛龙, 等. 一种刮粪板整体涨紧装置: CN209299969U [P]. 2019.
[53]	CUAN K X, ZHANG T M, HUANG J D, et al. Detection of avian influenza-infected chickens based on a chicken sound convolutional neural network[J]. Computers and Electronics in Agriculture, 2020, 178: 105688.
[54]	FANG C, HUANG J D, CUAN K X, et al. Comparative study on poultry target tracking algorithms based on a deep regression network[J]. Biosystem Engineering, 2020, 190: 176-183. doi: 10.1016/j.biosystemseng.2019.12.002
[55]	KANG X, ZHANG X D, LIU G. Accurate detection of lameness in dairy cattle with computer vision: A new and individualized detection strategy based on the analysis of the supporting phase[J]. Journal of Dairy Science, 2020, 103(11): 10628-10638. doi: 10.3168/jds.2020-18288
[56]	康熙, 张旭东, 刘刚, 等. 基于机器视觉的跛行奶牛牛蹄定位方法[J]. 农业机械学报, 2019, 50(S1): 276-282.
[57]	张旭东, 康熙, 马丽, 等. 基于热红外图像的奶牛乳房炎自动检测方法[J]. 农业机械学报, 2019, 50(S1): 248-255.
[58]	ZHANG X D, KANG X, FENG N N, et al. Automatic recognition of dairy cow mastitis from thermal images by a deep learning detector[J]. Computers and Electronics in Agriculture, 2020, 178: 105754. doi: 10.1016/j.compag.2020.105754
[59]	ZHANG Y Q, CAI J H, XIAO D Q, et al. Real-time sow behavior detection based on deep learning[J]. Computers and Electronics in Agriculture, 2019, 163: 104884. doi: 10.1016/j.compag.2019.104884
[60]	初梦苑, 刘刚, 司永胜, 等. 基于三维重建的奶牛体重预估方法[J]. 农业机械学报, 2020, 51(S1): 378-384. doi: 10.6041/j.issn.1000-1298.2020.S1.046
[61]	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.
[62]	冯宁宁, 刘刚, 张彦娥, 等. 基于EMD的奶牛动态称量算法[J]. 农业机械学报, 2019, 50(S1): 305-312.
[63]	任晓惠, 刘刚, 张淼, 等. 基于支持向量机分类模型的奶牛行为识别方法[J]. 农业机械学报, 2019, 50(S1): 290-296.

[1]	LÜ Enli, HE Xinyuan, LUO Yizhi, WANG Feiren, XIA Jingjing, WU Fan, ZENG Zhixiong. Design of intelligent feeding IoT system for lactating sows[J]. Journal of South China Agricultural University, 2023, 44(1): 57-64. DOI: 10.7671/j.issn.1001-411X.202203003
[2]	YUE Xuejun, SONG Qingkui, LI Zhiqing, ZHENG Jianyu, XIAO Jiayi, ZENG Fanguo. Research status and prospect of crop information monitoring technology in field[J]. Journal of South China Agricultural University, 2023, 44(1): 43-56. DOI: 10.7671/j.issn.1001-411X.202209042
[3]	SONG Zhen, JI Changying, ZHANG Bo. Detection of polysaccharide content in Pleurotus eryngii based on spectral and image information[J]. Journal of South China Agricultural University, 2019, 40(3): 104-110. DOI: 10.7671/j.issn.1001-411X.201807047
[4]	FENG Wen-qian, LI Xiao-jian, WANG De-han, ZHOU Zhen-peng, DENG Jia-xi. Effect of Addition of Earthworm Manure on Anaerobic Digestion Processes of Food Waste[J]. Journal of South China Agricultural University, 2012, 33(3): 326-330. DOI: 10.7671/j.issn.1001-411X.2012.03.011
[5]	YU Ping-xiang,ZHANG Li-hong,YU Shou-hua,OU Ying-gang,OU jing-ying. Construction of Information Management Platform for Sugarcane Mechanization Production[J]. Journal of South China Agricultural University, 2006, 27(4): 98-101. DOI: 10.7671/j.issn.1001-411X.2006.04.025
[6]	ZHANG Cheng-lin,YANG Kun. Effect of Liquid Steeped Chicken Manure and Liquid Steeped Peanut Cake Applied Through Drip Irrigation on Tomato Growth[J]. Journal of South China Agricultural University, 2006, 27(1): 25-28. DOI: 10.7671/j.issn.1001-411X.2006.01.007
[7]	HUANG Guo feng 1,2,WU Qi tang 2,MENG Qing qiang 2,WONG Huan zhong 3. Substance Changes and Maturity Evaluation During Pig Manure Composting[J]. Journal of South China Agricultural University, 2002, 23(3): 1-4. DOI: 10.7671/j.issn.1001-411X.2002.03.001
[8]	HU Fei,KONG Chui hua. Allelopathic Potentials of Arachis hypogaea on Crops[J]. Journal of South China Agricultural University, 2002, 23(1): 9-12. DOI: 10.7671/j.issn.1001-411X.2002.01.003
[9]	WU Ding-yao,LIN Xiao-dong,YE Qin-hai,WANG Wei-hua. Improvement of Fruit-Set in Secondary Panicles of Feizixiao Litchi by Removal of the Primary Panicles[J]. Journal of South China Agricultural University, 2000, (1): 19-21. DOI: 10.7671/j.issn.1001-411X.2000.01.006

Cited By

Cited by

Periodical cited type(35)

1.	陈仕猛，徐章琼，贺成龙. 规模化养殖场粪污处理智能监管技术研究. 养殖与饲料. 2025(01): 38-41 .
2.	邢伟杰，金波，石诗影，蒲俊华，赵华轩，李尚民，窦新红. 家禽养殖环境调控关键技术与设施设备研究进展. 中国家禽. 2025(03): 149-156 .
3.	邓永涛，尹苗，王聪，陈希文. 猪舍环境影响因子预测模型的研究进展. 家畜生态学报. 2025(02): 122-128 .
4.	漆海霞，李承杰，黄桂珍. 基于轻量化YOLOv4的死淘鸡目标检测算法. 中国农机化学报. 2024(05): 195-201 .
5.	韩雨晓，李帅，王宁，安娅军，张漫，李寒. 基于3D激光雷达的鸡舍通道中心线检测方法. 农业工程学报. 2024(09): 173-181 .
6.	王兴家，张霞，穆元杰，盛清凯，袁震，郑纪业. 基于物联网的猪舍环境监测系统. 现代农业装备. 2024(03): 54-62 .
7.	肖德琴，黄一桂，熊悦淞，刘俊彬，谭祖杰，吕斯婷. 畜禽机器人技术研究进展与未来展望. 华南农业大学学报. 2024(05): 624-634+620 . 本站查看
8.	付晓，魏晓莉，严士超，戴百生，姜润杰，周建钊，张翼，王鑫杰，沈维政. 畜舍养殖环境智能监控研究现状及展望. 华南农业大学学报. 2024(05): 672-684 . 本站查看
9.	余志安，肖瑞全，李秋生，汤晋，陈恒，谢宁，刘小春. 江西省家禽产业数字化现实基础、制约因素及推进路径. 中国禽业导刊. 2024(08): 19-25 .
10.	赵敏，胡广英，白海，曹日亮. 智能化养猪装备的研究进展. 中国猪业. 2024(04): 78-85 .
11.	刘新，平阳，王明，张金梦，张倩，姜翠红. 基于物联网技术的鸡智能育种平台研究与应用. 中国家禽. 2024(10): 114-120 .
12.	陈怡然，熊竹青，周脚根，王荃，舒剑成，闫银发，杨兰林，冯泽猛，熊本海，印遇龙. 畜禽养殖业数据应用展望和问题分析. 中国科学院院刊. 2024(11): 1982-1993 .
13.	顾菲. 适合吴江区生态养殖业发展道路的探索与研究. 新农民. 2024(32): 117-119 .
14.	冯安学. 分群门技术在大型牧场中应用的前提条件与生产价值. 中国乳业. 2024(11): 35-39+44 .
15.	桑士舟，姚国胜，刘金，樊惠超，齐永悦，杨培胜. 果园生态养鹅智能化配套设施建设. 家禽科学. 2024(12): 53-55 .
16.	吕恩利，何欣源，罗毅智，王飞仁，夏晶晶，吴凡，曾志雄. 哺乳母猪智能饲喂物联网系统设计. 华南农业大学学报. 2023(01): 57-64 . 本站查看
17.	肖德琴，毛远洋，刘又夫，招胜秋，闫志广，王文策，谢青梅. 我国家禽工厂化养殖技术发展现状与趋势. 华南农业大学学报. 2023(01): 1-12+191 . 本站查看
18.	吕恩利，颜彬，王昱，曾志雄，王亮，孙超，黄涵. 畜禽舍末端水喷淋废气处理系统的颗粒物净化性能分析与优化. 华南农业大学学报. 2023(02): 296-303 . 本站查看
19.	晏志勋，栾汝朋，张冰，曾另超，刘华贵，刘新，初芹. 种鸡体重智能采集与人工称重的对比. 中国家禽. 2023(02): 121-124 .
20.	赵铎，周桂霞，赵胜雪. 黑龙江智慧农业知识图谱分析：科学文献计量论述. 农机使用与维修. 2023(03): 27-30 .
21.	何小敏. 新农科背景下动物生产类专业人才培养提升机制研究——以华南农业大学-温氏集团产业学院为例. 安徽农业科学. 2023(05): 271-273 .
22.	杨惠永，高彦玉，韩颖思，罗土玉. 生猪养殖装备与信息技术融合发展现状与建议. 现代农业装备. 2023(02): 9-16 .
23.	王子权，杨珂凡，李蕾蕾，刘杰，刘玉梅. 动物疫病风险对规模猪场数智技术应用的影响. 中国农业资源与区划. 2023(04): 65-72 .
24.	唐瑜嵘，沈明霞，薛鸿翔，陈金鑫. 人工智能技术在畜禽养殖业的发展现状与展望. 智能化农业装备学报(中英文). 2023(01): 1-16 .
25.	韦引超，高彦玉，周琼，钟伟朝，罗土玉. 基于畜禽品种选育的数据管理系统设计与实现. 现代农业装备. 2023(03): 70-76+99 .
26.	张晶. 中国式现代畜牧强国建设：战略谋划与实现路径. 饲料研究. 2023(11): 187-190 .
27.	刘钟涛，何为凯，徐震，徐响，高翔. 家禽智能养殖系统的设计与实现. 中国禽业导刊. 2023(08): 42-49 .
28.	温东源，黄培强，林展鹏，彭俊杰，钟沈伟，李焱坭. 作用于雏鸡养殖的鸡舍设计方案研究. 装备制造技术. 2023(06): 279-282 .
29.	袁正东，王阳，李保明. 单栋20万只叠层笼养蛋鸡舍夏季环境监测评估及建议. 中国家禽. 2022(07): 70-76 .
30.	欧阳安，崔涛，林立. 智能农机装备产业现状及发展建议. 科技导报. 2022(11): 55-66 .
31.	黎煊，帅永辉，刘小磊，喻梦媛，马丽娜，郑红亚，刘洋. 自锁式小群妊娠母猪智能饲喂机构设计与试验. 农业工程学报. 2022(13): 38-46 .
32.	王珑翰，张良，高建波，李辉，孙霞，李明. 蛋鸡健康监测和行为识别及死鸡移除系统研究进展. 中国家禽. 2022(10): 83-88 .
33.	张燕军，孙晨，王硕，刘绍贵，苏伟. 家禽智慧养殖从业人员继续教育模式调查分析. 中国农机化学报. 2022(12): 215-220 .
34.	刘立安，白刚，张勇，青格勒图，永荣，韩彩霞，周伟. 智慧养殖在羊养殖产业中的应用效果. 农业工程技术. 2022(35): 68+70 .
35.	张敬杨，谢佳伟，梁宇涛，刘建勇，李东明. 畜禽养殖清粪技术进展及发展建议. 河北农机. 2021(12): 109-110 .

Other cited types(18)

Get Citation

PDF

XML

Article views (1006) PDF downloads (1366) Cited by(53)

Turn off MathJax

Article Contents

Abstract

References

Research progress on intelligent equipment and information technology for livestock and poultry breeding