传感器技术在现代家禽生产中的研究进展

doi:10.13304/j.nykjdb.2022.0247

中国农业科技导报 ›› 2023, Vol. 25 ›› Issue (7): 1-11.DOI: 10.13304/j.nykjdb.2022.0247

• 农业创新论坛 • 下一篇

传感器技术在现代家禽生产中的研究进展

李星¹(), 赵宁¹, 江勇¹, 王志秀¹, 陈国宏¹^,², 白皓²(), 常国斌¹^,²()

^1.扬州大学动物科学与技术学院，江苏扬州 225009
^2.扬州大学农业科技发展研究院，教育部农业与农产品安全国际合作联合实验室，江苏扬州 225009

收稿日期:2022-03-30 接受日期:2022-09-21 出版日期:2023-07-15 发布日期:2023-08-25
通讯作者: 白皓,常国斌
作者简介:李星 E-mail： xingli123120@qq.com
基金资助:
财政部与农业农村部国家现代产业技术体系建设项目(CARS-41);江苏现代农业（水禽）产业技术体系项目(JATS〔2022〕331);江苏省重点研发计划（现代农业）项目(BE2021332);江苏省种业振兴揭榜挂帅项目(JBGS〔2021〕110)

Recent Advances in Sensor Technology of Modern Poultry Production

Xing LI¹(), Ning ZHAO¹, Yong JIANG¹, Zhixiu WANG¹, Guohong CHEN¹^,², Hao BAI²(), Guobin CHANG¹^,²()

^1.College of Animal Science and Technology，Yangzhou University，Jiangsu Yangzhou 225009，China
^2.Joint International Research Laboratory of Agriculture and Agri-product Safety of Ministry of Education of China，Institutes of Agricultural Science and Technology Development，Yangzhou University，Jiangsu Yangzhou 225009，China

Received:2022-03-30 Accepted:2022-09-21 Online:2023-07-15 Published:2023-08-25
Contact: Hao BAI,Guobin CHANG

摘要/Abstract

摘要：

家禽产业作为畜牧业第二大产业，在畜牧业发展中具有重要地位。近年来，家禽的精细养殖逐渐被人们关注，通过有效手段及时有效获取家禽个体的体温、行为、运动姿态及生理指标等信息成为家禽精细养殖的重点。从家禽养殖环境、体温、行为及生理指标等方面综述了传感器在家禽生长、生理等的研究应用，总结了近年来国内外传感器在家禽生产中的研发与应用，提出了在传感器领域存在的问题，并对未来传感器在禽类养殖中全面、高效运用提出展望。

关键词: 传感器, 家禽生产, 研究进展, 应用

Abstract:

Poultry industry is the second largest industry of animal husbandry and plays an important role in the development of animal husbandry. The fine farming of poultry is gradually gaining attention in recent years， and timely and effectively obtaining information on individual poultry body temperature， behaviour， movement posture and physiology and other indicators through effective means has become the focus of fine poultry farming. This paper expounded the research and application of sensors in poultry growth physiology， and mainly from the aspects of poultry breeding environment， body temperature， behavior and physiological indicators， and summarized the research and application of sensors in poulty production at home and abroad in recent years， put forward the problems existing in the field of sensors， and the prospect of comprehensive and efficient application of sensors in poultry breeding in the future.

Key words: sensor, poultry production, research progress, application

中图分类号:

S858.3

李星, 赵宁, 江勇, 王志秀, 陈国宏, 白皓, 常国斌. 传感器技术在现代家禽生产中的研究进展[J]. 中国农业科技导报, 2023, 25(7): 1-11.

Xing LI, Ning ZHAO, Yong JIANG, Zhixiu WANG, Guohong CHEN, Hao BAI, Guobin CHANG. Recent Advances in Sensor Technology of Modern Poultry Production[J]. Journal of Agricultural Science and Technology, 2023, 25(7): 1-11.

图/表 1

参考文献 85

1	徐苏凌,傅春泉,李雷斌.现代养禽业浅论[J].畜禽业,2003(1):54-56.
2	何宗亮,匡伟,姚远,等.环境温度对家禽健康影响的研究进展[J].家禽科学,2019(4):50-54.
3	谢强,王文策,朱勇文,等.不同光照条件对家禽生长影响及其应用研究进展[J].饲料工业,2018,39(13):55-59.
	XIE Q, WANG W C, ZHU Y W, et al.. Advances and applications of light on growth of poultry [J]. Feed Ind., 2018, 39(13): 55-59.
4	李鑫,王志强.光照对家禽生长繁殖的影响[J].现代畜牧科技,2021(2):52-53.
5	宋春玲,王永杰.采食量是肉用家禽生长中最重要的因素[J]. 中国家禽,2005,27(2):16-17.
6	梁姝婕,董涛,叶慧,等. 氨基酸营养对家禽免疫的影响[J]. 饲料工业,2021,42(5):26-33.
	LIANG S J, DONG T, YE H, et al.. Effects of amino acids nutrition on immunity of poultry [J]. Feed Ind., 2021,42(5):26-33.
7	李雪梅,张成森. 各种维生素对家禽生长发育的影响[J]. 养殖技术顾问,2011(5):79.
8	李凤梅. 饲料蛋白能量失调对家禽的影响[J]. 畜牧与饲料科学,2009,30(11):219-220.
9	王琳,吉增涛,李文勇,等.信息技术在家禽精细养殖应用中的研究进展[J].中国家禽,2017,39(12):48-53.
	WANG L, JI Z T, LI W Y, et al.. Review on application of information technology in poultry precise breeding [J]. China Poultry, 2017, 39(12): 48-53.
10	FRESON L, GODRIE S, BOS N, et al.. Validation of an infra-red sensor for oestrus detection of individually housed sows [J]. Comput. Electron. Agric., 1998, 20(1): 21-29.
11	MIWA M, OISHI K, NAKAGAWA Y, et al.. Application of overall dynamic body acceleration as a proxy for estimating the energy expenditure of grazing farm animals: relationship with heart rate [J/OL]. PLoS One, 2015,10(6): e0128042 [2022-02-26]. .
12	雷特达尔N P, 魏尔瑙S M, 科克罗夫特S R, 等. 动物环境和生理监测系统: CN108697061A [P]. 2018-10-23.
13	GIOVANETTI V, DECANDIA M, MOLLE G, et al.. Automatic classification system for grazing, ruminating and resting behaviour of dairy sheep using a tri-axial accelerometer [J]. Livestock Sci., 2017, 196: 42-48.
14	IMKE T, CHRISTOPH S, WOLFGANG A, et al.. Using acceleration data to automatically detect the onset of farrowing in sows [J/OL]. Sensors, 2018, 18(1): 170[2022-02-26]. .
15	SAITOH T, KATO Y. Evaluation of wearable cameras for monitoring and analyzing calf behavior: a preliminary study [J/OL]. Animals, 2021, 11(9): 2622 [2022-02-26]. .
16	赵志诚, 李妍君, 唐祯安, 等. 传感器通用术语: [S]. 北京: 中国标准出版社, 2005.
17	罗志高. 传感器原理与应用实验设计与实现[J]. 大学物理实验, 2020, 33(6): 39-42.
	LUO Z G. Sensor principle and application experiment design and realization [J]. Phys. Exp. College, 2020, 33(6): 39-42.
18	IDAN T, MICKEY S, SAGI A S, et al.. Assessing rectal temperature with a novel non-invasive sensor [J/OL]. J. Thermal Biol., 2021, 95 :102788 [2022-02-26]. .
19	NIMA A M, CHRISTOPHER Z, SINAN S, et al.. Evaluation of low-cost electro-chemical sensors for environmental monitoring of ozone, nitrogen dioxide, and carbon monoxide [J]. J. Occup. Environ. Hyg., 2018,15(2):87-98.
20	SUN W, LI H, WANG H, et al.. Sensitivity enhancement of pH indicator and its application in the evaluation of fish freshness [J]. Talanta, 2015,143:127-131.
21	高先娟,张玉军,甄瑞燕. 生物传感器简介[J]. 科技信息, 2009(12): 697.
22	宋亚宁,胡超琼,王冲,等. 核酸适配体生物传感器在食品中氟喹诺酮类兽药残留检测中的应用[J]. 中国食品学报,2021,21(8):409-419.
	SONG Y N, HU C Q, WANG C, et al.. Application of aptamer biosensor in the determination of fluoroquinolones residues in food [J]. J. Chin. Institute Food Sci. Technol., 2021,21(8):409-419.
23	ELENI T B, DESPINA P K. Paper-based DNA biosensor for food authenticity testing [J/OL]. Food Chem., 2020, 322:126758 [2022-02-26]. .
24	范玉国,李婉琳,杨升洪,等.生物传感器技术在水质监测中的应用[J]. 环境与发展,2019,31(12):76,79.
	FAN Y G, LI W L, YANG S H, et al.. Application of biosensor technology in water quality monitoring [J]. Environ. Dev., 2019,31(12):76,79.
25	张莉鸽,王伟伟,胡海洋,等.合成生物学在环境有害物监测及生物控制中的应用[J].生物产业技术,2019,69(1):68-75.
	ZHANG L G, WANG W W, HU H Y, et al.. Application of synthetic biology in environmental hazard monitoring and biocontainment [J]. Biotechnol. Business, 2019,69(1):68-75.
26	PONTIUS K, SEMENOVA D, SILINA Y E, et al.. Automated electrochemical glucose biosensor platform as an efficient tool toward on-line fermentation monitoring: novel application approaches and insights [J/OL]. Front. Bioeng. Biotechnol., 2020, 8:436 [2022-02-26]. .
27	BEATA O, AGATA K, EWA B, et al.. Application of selected biosensor techniques in clinical diagnostics [J]. Expert Rev. Mol. Diagn., 2021,21(9):925-937.
28	徐博谦.传感器市场现状及发展趋势[J].黑龙江科技信息,2013,73(31):73.
29	沈咏舟,缨玉云.不同的环境温度对肉鸡生产性能的影响[J].中国家禽,1996(6):7-8.
30	TIAGO F B C, ROBSON L S, MARCIO H, et al.. Thermal comfort monitoring in aviaries by a real-time data acquisition system [J]. Rev. Bras. Eng. Agric. Ambient.,2019,23(9):694-701.
31	周雪,孙俊生,颜世航,等. 一种可穿戴自适应环境监测系统设计[J]. 传感器与微系统,2019,38(4):89-92.
	ZHOU X, SUN J S, YAN S H, et al.. Design of a wearable adaptive environment monitoring system [J]. Trans. Microsyst. Technol., 2019,38(4):89-92.
32	鲍海虹,朱正伟,戚奇平,等.禽类养殖环境实时监测系统设计[J].常州大学学报(自然科学版),2014,26(1):62-65.
	BAO H H, ZHU Z W, QI Q P, et al.. Design of real-time monitoring system in poultry breeding [J]. J. Changzhou Univ.(Nat. Sci.), 2014,26(1):62-65.
33	牛海春,王乐林,宋海燕.畜禽养殖环境监测系统的设计[J].电子测试,2022,36(14):23-25, 134.
	NIU H C, WANG L L, SONG H Y. Design of monitoring system for livestock and poultry breeding environment [J]. Electron. Test, 2022, 36(14): 23-25, 134.
34	RAFAELA S A, JUN C, DONGWOOK C, et al.. A flexible and disposable poly(sodium 4-styrenesulfonate)/polyaniline coated glass microfiber paper for sensitive and selective detection of ammonia at room temperature [J]. Synth. Met.,2017, 233: 22-27 .
35	YASMEEN R, ALI Z, TYRREL S, et al.. Estimation of particulate matter and gaseous concentrations using low-cost sensors from broiler houses [J/OL]. Environ. Monit. Assess, 2019, 191(7): 470 [2022-02-26]. .
36	LOTFI A, NAVAEI M, HESKETH P. A platinum cantilever-based thermal conductivity detector for ammonia sensing using the 3-omega technique [J/OL]. ECS J. Solid State Sci. Technol., 2019,8(6): Q126-Q133 [2022-02-26]. .
37	张启亮, 任广伟. 一种家禽监测脚环:CN211153331U[P]. 2020-08-04.
38	张燕军,孙卫明,赵敏孟,等. 一种多指标一体化的家禽养殖环境智能监测传感器: CN114323142A[P]. 2020-08-04.
39	齐琳,包军,李剑虹.动物行为学研究在动物福利养殖中的应用[J].中国动物检疫, 2009, 26(9): 68-69.
40	舒鼎铭,杨纯芬,瞿浩.家禽育种科学发展现状及趋势[J].中国家禽,2004,26(17):4-6.
41	CHIEN Y R, CHEN Y X. An RFID-based smart nest box: an experimental study of laying performance and behavior of individual hens [J/OL]. Sensors, 2018,18(3):859 [2022-02-26]. .
42	平阳,王一罡,金娟,等.基于无线传感技术的散养鸡集蛋系统设计与实现[J].中国家禽,2021,43(9):110-114.
	PING Y, WANG Y G, JIN J, et al.. Design and implementation of egg collection system for free range chicken based on wireless sensor technology [J]. China Poultry, 2021,43(9):110-114.
43	刘桂芹,冯燕,李发兰,等.饮水质量对家禽生产性能的影响[J].中国家禽,2011,33(23):57.
44	刘志伟. 基于加速度传感器的本交笼种鸡个体行为识别研究[D].保定:河北农业大学,2020.
	LIU Z W. Research on individual behavior recognition of natural mating cage breeding hens based on acceleration sensor [D]. Baoding: Hebei Agricultural University, 2020.
45	TU X Y, DU S X, TANG L, et al.. A real-time automated system for monitoring individual feed intake and body weight of group housed turkeys [J]. Comput. Electron.Agric., 2011, 75(2): 313-320.
46	PUMA M C, XIN H, GATES R S, et al.. An instrumentation system for studying feeding and drinking behavior of individual poultry [J]. Appl. Eng. Agric., 2001, 17(3): 365-374.
47	杨龙. 鸽子飞行远程监测与调控系统开发[D]. 郑州: 郑州大学, 2020.
	YANG L. Development of remote monitoring and control system for pigeon flight [D]. Zhengzhou: Zhengzhou University, 2020.
48	USHERWOOD J R, HEDRICK T L, MCGOWAN C P, et al.. Dynamic pressure maps for wings and tails of pigeons in slow, flapping flight, and their energetic implications [J]. J. Exp. Biol., 2005, 208(2): 355-369.
49	刘仲旭. 基于六轴运动传感器的禽类行为规律检测研究[D]. 保定: 河北农业大学, 2017.
	LIU Z X. The research on detection of poultry behavior based on six-axis motion sensor [D]. Baoding: Hebei Agricultural University, 2017.
50	何灿隆,沈明霞,刘龙申,等.基于加速度传感器的肉鸡步态检测方法研究与实现[J].南京农业大学学报,2019,42(2):365-372.
	HE C L, SHEN M X, LIU L S, et al.. The research and realization of the method for the gait detection in broilers based on acceleration sensor [J]. J. Nanjing Agric. Univ., 2019,42(2):365-372.
51	DEBASMIT B, SUBIR B, COURTNEY D, et al.. Remote activity classification of hens using wireless body mounted sensors [C]// Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks (BSN). USA: IEEE Computer Society, 2012:107-112.
52	BANERJEE D, DAIGLE C L, DONG B, et al.. Detection of jumping and landing force in laying hens using wireless wearable sensors [J]. Poultry Sci., 2014,93(11):2724-2733.
53	李文勇, 吉曾涛, 孙传桓, 等. 家禽健康状况监测方法、运动脚环、服务器及系统: CN107135983A[P]. 2017-09-08.
54	DERAKHSHANI S M, OVERDUIN M, VAN NIEKERK T G C M, et al.. Implementation of inertia sensor and machine learning technologies for analyzing the behavior of individual laying hens [J/OL]. Animals, 2022, 12(5):536 [2022-02-26]. .
55	于丽华.家禽应激反应的综合分析与防治[J].吉林农业,2011(8):214-215.
56	LACEY, HAMRITA, LACY, et al.. Monitoring deep body temperature responses of broilers using biotelemetry [J]. J. Appl. Poultry Res., 2000, 9(1): 6-12.
57	李丽华.蛋鸡体温与生产性能参数动态监测关键技术研究及应用[D].保定:河北农业大学,2014.
	LI L H. Study and application on dynamic monitoring key technologies of layer temperature and production performance parameters [D]. Baoding: Hebei Agricultural University, 2014.
58	李奇峰, 马为红, 高荣华, 等.一种家禽体温远程监控终端: CN212513334U[P]. 2021-02-09.
59	杨威. 蛋鸡穿戴式无线体温感知设备的开发及体温监测实验研究[D].杭州:浙江大学,2017.
	YANG W. Development of wireless wearable sensor equipment for monitoring layers' body temperature and experiment research [D]. Hangzhou: Zhejiang University, 2017.
60	钟杰东,钟雨棋,钟雨泳.一种动物脉搏体温监测设备及其检测系统:CN112168151A[P]. 2021-01-05.
61	尹旭生. 一种禽类动物体温监测报警器: CN210671704U [P]. 2020-06-05.
62	陆辉山,刘烨虹,刘修林,等.基于WSN的家禽体温监控系统设计及应用[J].中国家禽,2018,40(4):76-79.
	LU H S, LIU Y H, LIU X L, et al.. Design and application of poultry temperature monitoring system based on WSN [J]. China Poultry, 2018, 40(4):76-79.
63	张小栓,王磊,张梦杰,等. 一种动物血压智能监测系统及其监测方法:CN109770879A[P]. 2019-05-21.
64	龚毅光,阮峰,张雅男,等. 动物血压监测系统以及基于机器学习的血压状态识别方法: CN108065924A[P]. 2018-05-25.
65	龚毅光,阮峰,张雅男,等. 动物血糖监测系统以及基于机器学习的血糖状态识别方法: CN108065939A[P]. 2018-05-25.
66	严涛, 赵永昕, 严若谷. 一种个体管控畜禽养殖方法: CN111387138A[P]. 2020-07-10.
67	GUMUS A, LEE S, KARLSSON K, et al.. Real-time in vivo uric acid biosensor system for biophysical monitoring of birds [J]. Analyst , 2014,139(4):742-748.
68	OKADA H, SUZUKI K, KENJI T, et al.. Applicability of wireless activity sensor network to avian influenza monitoring system in poultry farms [J]. J. Sensor Technol., 2014,4(1): 18-23.
69	SUZUKI K, OKADA H, ITOH T, et al.. Association of increased pathogenicity of asian H5N1 highly pathogenic avian influenza viruses in chickens with highly efficient viral replication accompanied by early destruction of innate immune responses [J]. J. Virology, 2009,83(15):7475-7486.
70	OKADA H, ITOH T, SUZUKI K, et al.. Wireless sensor system for detection of avian influenza outbreak farms at an early stage [C]// Proceedings of IEEE Sensors 2009 Conference, 2009: 1374-1377.
71	MOHANTY S P, KOUGIANOS E. Biosensors: a tutorial review [J]. IEEE Potentials, 2006,25(2): 35-40.
72	CHEN L Y, NEETHIRAJAN S. A homogenous fluorescence quenching based assay for specific and sensitive detection of influenza virus a hemagglutinin antigen [J].Sensors (Basel), 2015,15(4): 8852-8865.
73	KAREN D. Nanotechology Uses Tiny Biomarkers to Detect Subclinical Signs of Disease at the Molecular Level in a Non-invasive Manner [M]. Simcoe, Ontario, Canada: Canadian Poultry, 2017: 1-368.
74	KAROUI R, KEMPS B, BAMELIS F, et al.. Methods to evaluate egg freshness in research and industry: a review [J]. Eur. Food Res. Technol., 2006, 222(5/6):727-732.
75	DAI D, JIANG T, LU W, et al.. Nondestructive detection for egg freshness based on hyperspectral scattering image combined with ensemble learning [J/OL]. Sensors, 2020, 20(19): 5484 [2022-02-26]. .
76	LIANG Q, ZHAO M C, LI Z, et al.. Non-destructive testing technology for raw eggs freshness: a review [J/OL]. SN Appl. Sci., 2020,2(6):‍1113 [2022-02-26]. .
77	柴春祥,张久春,李文杰.鸡肉新鲜度新型检测方法初探[J].食品工业科技,2003,24(7):83-84, 76.
	CHAI C X, ZHANG J C, LI W J. Study on the new evaluation method of poultry freshness [J]. Sci. Technol. Food Ind., 2003, 24(7):83-84, 76.
78	VÖLGYI F. Specifying the freshness of eggs using microwave sensors [J]. Subsurface Sensing Technol. Appl., 2000,1(1):119-139.
79	常志勇,陈东辉,张凌,等.基于多传感器融合的鸡肉新鲜度检测方法[J].吉林大学学报,2013,43():493-496.
	CHANG Z Y, CHEN D H, ZHANG L, et al.. Method of chicken freshness detection based on multi-sensor frusion [J]. J. Jilin Univ.(Supp 1), 2013, 43(S1):493-496.
80	HARNSOONGNOEN S, JAROENSUK N. The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor [J/OL]. Sci. Rep., 2021, 11(1):16640 [2022-02-26]. .
81	胡幸,高倩,郭鹏程,等.基于单片机的智能肉质安全检测仪设计[J].电脑知识与技术,2020,16(26):225-227, 230.
82	YANG X, ZHAO Y, STREET G M, et al.. Classification of broiler behaviours using triaxial accelerometer and machine learning [J/OL]. Animal, 2021,15(7):100269 [2022-02-26]. .
83	李丽华,陈辉,于尧,等.基于无线传输的蛋鸡体温动态监测装置[J].农业机械学报,2013,44(6):242-245, 226.
	LI L H, CHEN H, YU Y, et al.. Dynamic monitoring device of hens temperature based on wireless transmission [J]. Trans. Chin. Soc. Agric. Machin., 2013,44(6):242-245, 226.
84	刘烨虹. 家禽健康体征的动态监测技术及装置研究[D].广州:中北大学,2019.
	LIU Y H. Research on dynamic detection technology and device of poultry health signs [D]. Guangzhou: North University of China, 2019.
85	BUIJS S, BOOTH F, RICHARDS G, et al.. Behavioural and physiological responses of laying hens to automated monitoring equipment [J]. Appl. Anim. Behav. Sci., 2018,199:17-23.

[1]	赵宁, 李星, 江勇, 王志秀, 毕瑜林, 陈国宏, 白皓, 常国斌. 图像识别技术在鸡养殖领域的应用[J]. 中国农业科技导报, 2023, 25(9): 13-22.
[2]	曹子健, 邱艳红, 王爽, 赵娟, 郑素月, 乔广行, 秦文韬. 多重PCR技术在植物病原物检测中的应用[J]. 中国农业科技导报, 2023, 25(8): 216-224.
[3]	于玉婷, 柳平增, 王秀丽, 张艳, 王珅, 宋成宝, 马峰. 北方番茄日光温室温度传感器布设位置研究[J]. 中国农业科技导报, 2023, 25(3): 107-118.
[4]	苗丽青, 马旭辉, 李素贞, 陈茹梅, 柳小庆. 虾青素的生物合成与产业化应用[J]. 中国农业科技导报, 2023, 25(3): 21-29.
[5]	蔡阳扬, 陶秀萍, 李同, 尚斌, 宋建超, 刘璐. 天然高分子絮凝剂的制备及应用研究[J]. 中国农业科技导报, 2023, 25(10): 165-172.
[6]	王帅, 宋伟, 王荣焕, 赵久然. 我国玉米生物学研究进展[J]. 中国农业科技导报, 2022, 24(7): 23-31.
[7]	许辉, 赵阳阳, 孙东岳, 柯媛媛, 张乐乐, 陈翔, 魏凤珍, 李金才. 稻虾共作模式研究进展[J]. 中国农业科技导报, 2022, 24(2): 160-168.
[8]	王文月, 米晓钰, 孙康泰, 戴翊超, 姚志鹏, 高元鹏, 刘军, 葛毅强, 张松梅, 邓小明, 张涌. 畜禽重要性状遗传调控机制与分子设计育种[J]. 中国农业科技导报, 2022, 24(12): 39-47.
[9]	张守攻. 林木重要性状形成的分子基础研究进展[J]. 中国农业科技导报, 2022, 24(12): 48-58.
[10]	高云, 王瑜, 鲁斯迪, 雷明刚, 罗俊杰, 黎煊, . 猪舍热舒适性评价及夏季湿帘作用下的CFD模拟[J]. 中国农业科技导报, 2021, 23(7): 125-135.
[11]	胡婷婷, 王健康, 丁成伟, 郭荣良, 吴玉玲, 徐家安, 王友霜, 赵轶鹏, 何弯弯. 植物种子的发育调控研究进展[J]. 中国农业科技导报, 2021, 23(5): 27-34.
[12]	黄家章1,卢士军1,姚远2,吴鸣3,孙君茂1*. 基于文献计量的国际营养导向型农业研究进展可视化分析[J]. 中国农业科技导报, 2020, 22(9): 11-21.
[13]	林卉,姜忠群,冒建华*. 人工湿地在农村生活污水处理中的应用及研究进展[J]. 中国农业科技导报, 2020, 22(5): 129-136.
[14]	杨菲菲，李世娟*，刘升平，吕纯阳，刘大众，肖顺夫，刘航. 作物环境胁迫高光谱遥感监测研究进展[J]. 中国农业科技导报, 2020, 22(4): 85-93.
[15]	周秒依,任雯,赵冰兵,李韩帅,刘亚*. 植物MAPK级联途径应答的非生物胁迫研究进展[J]. 中国农业科技导报, 2020, 22(2): 22-29.

传感器技术在现代家禽生产中的研究进展

Recent Advances in Sensor Technology of Modern Poultry Production

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 85

相关文章 15

编辑推荐

Metrics