农业大数据研究与应用

doi:10.19788/j.issn.2096-6369.190101

摘要/Abstract

摘要：

在国家推动乡村振兴战略背景下,农业大数据已成为农业研究与应用的热点。本论文结合大数据的基本内涵和特征,介绍了农业大数据发展的战略意义,分析了农业大数据的基本概念及其包容性的典型特征,概括了农业大数据的获取途径,阐述了农业大数据平台应用体系和关键技术,并从农业决策、智慧生产、市场匹配、农业气象、食品安全等维度对农业大数据的应用进行探讨;最后总结了当前农业大数据面临的困难,为农业大数据的创新发展奠定基础。

关键词: 农业大数据, 数据获取, 平台建设, 数据挖掘

Abstract:

Against the background of China's strategy of promoting rural revitalization, big data has become a hot topic in agricultural research and application. Building on the basic characteristics of big data, this paper introduces the concept of agricultural big data and its typical characteristics. It summarizes current approaches for collecting agricultural big data, describes the application system and key technologies of an agricultural big data platform, and discusses the use of agricultural big data for agricultural decision-making, intelligent production, market match, agrometeorology and food safety. Finally, the paper examines the current difficulties in using agricultural big data. In sum, the paper contributes a foundation of understanding for the innovation and development of agricultural big data.

Key words: Agricultural big data, data acquisition, platform construction, data mining

中图分类号:

姜侯, 杨雅萍, 孙九林. 农业大数据研究与应用[J]. 农业大数据学报, 2019, 1(1): 5-10.

Jiang Hou, Yang Yaping, Sun Jiulin. Research and Application of Big Data in Agriculture[J]. Journal of Agricultural Big Data, 2019, 1(1): 5-10.

图/表 2

参考文献 45

[1]	冉阿建, 孙蕙 . 大数据: 发展新动力[J]. 当代贵州, 2017,( 17):22-23.
	Ran A J, Sun H . Big Data: New Driving Force for Development[J]. Contemporary Guizhou, 2017,( 17):22-23.
[2]	卢文林, 李秀峰 . 全国基层农机推广信息化平台农技咨询数据库的构建[J]. 中国科技成果, 2013(2):38-39.
	Lu W L, Li X F . Construction of Agricultural Technology Consultation Database for National Grassroots Agricultural Extension Information Platform[J].Chinese Scientific and Technological Achievements, 2013(2):38-39.
[3]	曹永生, 方沩 . 国家农作物种质资源平台的建立和应用[J]. 生物多样性, 2010,18(5):454-460.
	Cao Y S, Fang W . Establishment and Application of National Crop Germplasm Resources Infrastructure in China[J].Biodi-versity Science , 2010,18(5):454-460.
[4]	王希军, 黄晋鸿 . 以新的理念引领新的发展[M]. 济南: 山东人民出版社, 2016: 211.
	Wang X J, Huang J H. Leading New Development with New Idea[M]. Jinan: Shandong People's Publishing House, 2016: 211.
[5]	Big Data [EB/OL] . ( 2014 -03-19)[2018-09-11].
[6]	Manyika J, Chui M, Brown B. et al. Big Data: the Next Frontier for Innovation,Competition,Productivity [R/OL] . (2011-05)[2019-01-18].
[7]	Mauro A D, Greco M, Grimaldi M . A Formal Definition of Big Data Based on Its Essential Features[J]. Library Review, 2016,65(3):122-135. doi: 10.1108/LR-06-2015-0061
[8]	Barwick H . The “four Vs” of Big Data. [EB/OL]. ( 2011 -08-05)[2018-09-11].
[9]	What is big data? [EB/OL]. ( 2012 -05-23)[2019-01-19].
[10]	Nandyala C S, Kim H K . Big and Meta Data Management for U-Agriculture Mobile Services[J]. International Journal of Software Engineering & Its Applications, 2016,10(2):257-270.
[11]	Hashem I A T, Yaqoob I, Anuar N B , et al. The Rise of “Big Data” on Cloud Computing: Review and Open Research Issues[J]. Information Systems, 2015,47(C):98-115. doi: 10.1016/j.is.2014.07.006
[12]	戴起伟, 曹静, 凡燕 , 等. 面向现代设施农业应用的物联网技术模式设计[J]. 江苏农业学报, 2012,28(5):1173-1180.
	Dai Q W, Cao J, Fan Y , et al. Systemic Design of Internet of Things for Application in Modern Facility Agriculture[J]. Jiangsu Journal of Agricultural Sciences, 2012,28(5):1173-1180.
[13]	何勇, 聂鹏程, 刘飞 . 农业物联网与传感仪器研究进展[J]. 农业机械学报, 2013,44(10):216-226.
	He Y, Lie P C, Liu F . Advancement and Trend of Internet of Things in Agriculture and Sensing Instrument[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013,44(10):216-226.
[14]	Chedad A, Moshou D, Aerts J M , et al. AP—Animal Production Technology: Recognition System for Pig Cough Based on Probabilistic Neural Networks[J]. Journal of Agricultural Engineering Research, 2001,79(4):449-457. doi: 10.1006/jaer.2001.0719
[15]	Wolfert S, Ge L, Verdouw C , et al. Big Data in Smart Farming - A Review[J]. Agricultural Systems, 2017,153:69-80. doi: 10.1016/j.agsy.2017.01.023
[16]	陈威, 郭书普 . 中国农业信息化技术发展现状及存在的问题[J]. 农业工程学报, 2013,29(22):196-205.
	Chen W, Guo S P . Current Situation and Existing Problems of Agricultural Informatization in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013,29(22):196-205.
[17]	张石锐, 郑文刚, 申长军 , 等. 嵌入式手持无线农产品价格信息采集终端[J]. 计算机工程与设计, 2012,33(2):514-518.
	Zhang S R, Zheng W G, Shen C J , et al. Agricultural Product Price Information Collection Terminal of Embedded Portable Wireless[J]. Computer Engineering & Design, 2012,33(2):514-518.
[18]	Akinboro, B. Bringing Mobile Wallets to Nigerian Farmers. [EB/OL]. ( 2014- 05- 25) [2018-09-11].
[19]	Global Envision. Unleashing Ugandan Farmers'Potential through Mobile Phones. [EB/OL]. ( 2013 -04-16) [2018-09-11].
	-ugandan-farmers-potential-through-mobile-phones
[20]	Beckerreshef I, Justice C, Sullivan M , et al. Monitoring Global Croplands with Coarse Resolution Earth Observations: the Global Agriculture Monitoring (GLAM) Project[J]. Remote Sensing, 2010,2(6):1589-1609. doi: 10.3390/rs2061589
[21]	Gutiérrez P A, López-Granados F , Pena-Barragán J M , Logistic Regression Product-unit Neural Networks for Mapping Ridolfia Segetum Infestations in Sunflower Crop Using Multitemporal Remote Sensed Data[J]. Computers & Electronics in Agriculture, 2008,64(2):293-306. doi: 10.1016/j.compag.2008.06.001
[22]	邢素丽, 张广录 . 我国农业遥感的应用现状与展望[J]. 农业工程学报, 2003,19(6):174-178.
	Xing S L, Zhang G L . Application Status Quo and Prospect of Agriculture Remote Sensing in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2003,19(6):174-178.
[23]	Mcqueen R J, Garner S R , Nevill-Manning C G. et al. Applying Machine Learning to Agricultural Data[J]. Computers & Electronics in Agriculture, 1994,12(4):275-293. doi: 10.1016/0168-1699(95)98601-9
[24]	Tesfaye K, Kai S, Cairns J , et al. Targeting Drought-tolerant Maize Varieties in Southern Africa: A Geospatial Crop Modeling Approach Using Big Data[J]. International Food & Agribusiness Management Review, 2016,19:75-92.
[25]	Sawant M. Organized Data and Information for Efficacious Agriculture Using PRIDE? Model [C]. International Food and Agribusiness Management Association. 2016.
[26]	Binswanger-Mkhize H P, Zhou Y. The Roundtable Consultation on Agricultural Extension for Strengthening Sustainable Agriculture and Farmers' Participation in Value Chains in Asia [C]. Beijing: Chinese Academy of Agricultural Sciences, 2012,1:14.
[27]	陶忠良, 管孝锋, 陈毓蔚 . 基于农业大数据的信息共享平台建设[J]. 产业与科技论坛, 2018(17):11.
	Tao Z L, Guan X F, Chen Y W . Construction of Information Sharing Platform for Agricultural Big Data[J]. Industrial & Science Tribune, 2018(17):11.
[28]	冯阳 . 大数据技术在农技推广中的应用研究——以“全国基层农技推广服务云平台”为例[D]. 2017.
	Feng Y . Application of Big Data Technology in Agricultural Technology Extension: An Example of National Service Cloud Platform for Grass-roots Agricultural Technology Extension [D]. 2017.
[29]	Karmas A, Tzotsos A, Karantzalos K. Geospatial Big Data for Environmental and Agricultural Applications[M]. Big Data Concepts, Theories, and Applications. Springer International Publishing, 2016.
[30]	Rodriguez H, Snyder M, Uhlén M , et al. Recommendations from the 2008 International Summit on Proteomics Data Release and Sharing Policy - The Amsterdam Principles[J]. Journal of Proteome Research, 2009,8(7):3689-3692. doi: 10.1021/pr900023z pmid: 2742685
[31]	张计龙, 殷沈琴, 张用 , 等. 社会科学数据的共享与服务——以复旦大学社会科学数据共享平台为例[J]. 大学图书馆学报, 2015,33(1):74-79.
	Zhang J L, Yin S Q, Zhang Y , et al. Social Scientific Data Sharing and Serving——An Example of Fudan University Social Scientific Data Platform[J]. Journal of Academic Libraries, 2015,33(1):74-79.
[32]	Tripathi S, Srinivas V V, Nanjundiah R S . Downscaling of Precipitation for Climate Change Scenarios: A Support Vector Machine Approach[J]. Journal of Hydrology, 2006,330
	( 3):621-640.
[33]	Ma C, Zhang H H, Wang X . Machine Learning for Big Data Analytics in Plants[J]. Trends in Plant Science, 2014,19(12):
	798-808.
[34]	Mucherino A, Papajorgji P J, Pardalos P M . Data Mining in Agriculture[M]. Springer New York, 2009.
[35]	Vibhute A K. , Bodhe S . Applications of Image Processing in Agriculture: A Survey[J]. International Journal of Computer Applications, 2012,52(2):34-40. doi: 10.5120/8176-1495
[36]	尹衍雨, 白春明, 柴多梅 , 等. 大数据与农业大数据在农业领域的应用[J]. 蔬菜, 2018(3):1-7.
	Yin Y Y, Bai C M, Chai D M , et al. Big Data and Agriculture: Application of Big Data in Agriculture[J]. Vegetables, 2018(3):1-7.
[37]	王叁寿 . 大数据商业应用场景[M]. 机械工业出版社, 2016.
	Wang Sanshou. Application Scenario of Big Data Business[M]. China Machinery Industry Press, 2016.
[38]	王儒敬 . 我国农业信息化发展的瓶颈与应对策略思考[J]. 中国科学院院刊, 2013,28(3):337-343.
	Wang Rujing . Bottleneck of Agricultural Informatization Development in China and the Thinking of Coping Strategies[J]. Bulletin of Chinese Academy of Sciences, 2013,28(3):337-343.
[39]	He S, Feng X, Wu Q , et al. Research on Personalized Services of Library Based on User Behavior Modeling and Big Data Mining[J]. Library & Information Service, 2017.
[40]	Nativi S, Mazzetti P, Santoro M , et al. Big Data Challenges in Building the Global Earth Observation System of Systems[J]. Environmental Modelling & Software, 2015,68(C):1-26. doi: 10.1016/j.envsoft.2015.01.017
[41]	Kamilaris A, Gao F, Prenafetaboldu F X, et al. Agri-IoT: A Semantic Framework for Internet of Things-enabled Smart Farming Applications [C]. Internet of Things. IEEE, 2017: 442-447.
[42]	温孚江 . 农业大数据研究的战略意义与协同机制 [J]. 高等农业教育, 2013(11):3-6.
	Weng F J . Significance and Coordination Mechanism of Agricultural Big Data Research [J]. Higher Agricultural Educa-tion, 2013(11):3-6.
[43]	Schnase J L, Duffy D Q, Tamkin G S , et al. MERRA Analytic Services: Meeting the Big Data Challenges of Climate Science through Cloud-enabled Climate Analytics-as-a-Service[J]. Computers Environment & Urban Systems, 2014. doi: 10.1016/j.compenvurbsys.2013.12.003
[44]	汪懋华 . “精细农业”发展与工程技术创新[J]. 农业工程学报, 1999,15(1):1-8.
	Wang Maohua . Development of Precision Agriculture and Innovation of Engineering Technologies[J]. Transactions of the Chinese Society of Agricultural Engineering, 1999,15(1):1-8.
[45]	Akos Jó wiak, Milkovics M, Lakner Z . A Network-Science Support System for Food Chain Safety: A Case from Hungarian Cattle Production[J]. International Food & Agribusiness Management Review, 2016,19(A):17-42.