Design and Implementation of Digital Fruit Industry Integrated Information Management Platform: Based on Coral Component Architecture

doi:10.11923/j.issn.2095-4050.cjas2020-0136

Journal of Agriculture ›› 2021, Vol. 11 ›› Issue (8): 90-97.doi: 10.11923/j.issn.2095-4050.cjas2020-0136

Special Issue: 智慧农业

Previous Articles Next Articles

Design and Implementation of Digital Fruit Industry Integrated Information Management Platform: Based on Coral Component Architecture

Zhang Rui¹^,²(), Zhu Chunyan³, Liu Chang⁴, Xu Shipu⁵^,⁶()

¹School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
²Key Laboratory of Urban Agriculture (South), Ministry of Agriculture and Rural Affairs, Shanghai 200240, China
³Shanghai Quality Safety Center of Agriculture Products, Shanghai 201708, China
⁴School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, Jiangxi, China
⁵Agricultural Information Institutes of Science and Technology, Shanghai Academy of Agriculture Sciences, Shanghai 201403, China
⁶Shanghai Engineering Research Center of Information Technology in Agriculture, Shanghai 201403, China

Received:2020-07-16 Revised:2021-01-23 Online:2021-08-20 Published:2021-08-26
Contact: Xu Shipu E-mail:Amyzhr@163.com;xushipu39706879@163.com

Abstract

Abstract:

People need more related information during agricultural production. This paper takes the fruit industry as the background, and designs and develops a digital fruit industry comprehensive information management platform based on the Coral component architecture for the information service in the fruit industry planting process. The platform is divided into data acquisition layer, service layer and application layer. On this basis, the functional structure of the designed system includes 4 functional modules including agricultural Internet of Things monitoring management, planting production management, expert remote service and agricultural products online shopping mall. The platform provides relevant technical services, information, and norms for fruit industry practitioners. It is of great significance to promote the informatization of the fruit industry planting process.

Key words: Coral, digital fruit, Comprehensive Information Management Platform, Monitoring Management, Production Management, Expert Remote Service

CLC Number:

Zhang Rui, Zhu Chunyan, Liu Chang, Xu Shipu. Design and Implementation of Digital Fruit Industry Integrated Information Management Platform: Based on Coral Component Architecture[J]. Journal of Agriculture, 2021, 11(8): 90-97.

Figures/Tables 9

References 26

[1]	毛凤霞, 罗瑾峰. 陕西果业信息服务现状调查与分析[J]. 西安邮电学院学报, 2012, 17(2):103-106.
[2]	汪冰. 我国农业信息化建设现状及发展研究[J]. 安徽农业科学, 2008, 36(21):9330-9331.
[3]	郑勇涛, 刘玉树. 支持向量机解决多分类问题研究[J]. 计算机工程与应用, 2005, 41(23):190-192.
[4]	张长学, 张伟, 董智明. 移动推送技术面面观[J]. 移动通信, 2011, 35(5):21-27.
[5]	高嘉泽, 高强, 吴国全, 等. 面向移动应用的后端服务平台[J]. 计算机系统应用, 2014, 23(2):22-27.
[6]	Javed K, Maruf S, Babri H A. A two-stage Markov blanket based feature selection algorithm for text classification[J]. Neurocomputing, 2015, 157:91-104. doi: 10.1016/j.neucom.2015.01.031 URL
[7]	吕晓燕, 卢向峰, 郝建胜. 国内外农业信息化现状[J]. 农业图书情报学刊, 2004, 16(11):121-125.
[8]	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.
[9]	宋枫溪, 郑如冰, 王积忠. 自动文本分类中两种文本表示方式的比较[J]. 计算机工程, 2004, 30(18):124-126.
[10]	邵小哲, 吴国全, 魏峻, 等. 面向移动平台的消息通讯服务设计与实现[J]. 计算机工程与科学, 2013, 35(9):78-82.
[11]	张俊丽. 文本分类中的关键技术研究[D]. 武汉:华中师范大学, 2008.
[12]	王光, 邱云飞, 史庆伟. 集合CHI与IG的特征选择方法[J]. 计算机应用研究, 2012, 29(7):2454-2456.
[13]	Koller D, Sahami M, Koller D, et al. Toward Optimal Feature Selection[J]. International Conference on Machine Learning, 1996, 20:284-292.
[14]	鲁松, 李晓黎, 白硕, 等. 文档中词语权重计算方法的改进[J]. 中文信息学报, 2000, 14(6):8-13.
[15]	刘里, 何中市. 基于关键词语的文本特征选择及权重计算方案[J]. 计算机工程与设计, 2006, 27(6):934-936.
[16]	杨木容. 果农视角下的果业信息需求和服务开展的调查研究[J]. 安徽农业科学, 2011, 39(12):7455-7456.
[17]	刘丽伟. 美国农业信息化促进农业经济发展方式转变的路径研究与启示[J]. 农业经济, 2012(7):40-43.
[18]	王文生. 德国农业信息技术研究进展与发展趋势[J]. 农业展望, 2011, 7(9):48-51.
[19]	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.
[20]	王炬. 农业信息化进程中的问题及对策研究[D]. 重庆:西南农业大学, 2003.
[21]	罗剑丽. 法国与菲律宾农业信息服务体系比较[J]. 科技情报开发与经济, 2004, 14(9):57-58.
[22]	邵小哲, 吴国全, 魏峻, 等. 面向移动平台的消息通讯服务设计与实现[J]. 计算机工程与科学, 2013, 35(9):78-82.
[23]	Koller D, Sahami M, Koller D, et al. Toward Optimal Feature Selection[J]. International Conference on Machine Learning, 1996, 20:284-292.
[24]	高嘉泽, 高强, 吴国全, 等. 面向移动应用的后端服务平台[J]. 计算机系统应用, 2014, 23(2):22-27.
[25]	刘玲玲. 文本分类中的特征选择研究[D]. 青岛:中国石油大学(华东), 2011.
[26]	邱云飞, 王威, 刘大有, 等. 基于方差的CHI特征选择方法[J]. 计算机应用研究, 2012, 29(4):1304-1306.

Design and Implementation of Digital Fruit Industry Integrated Information Management Platform: Based on Coral Component Architecture

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 26

Related Articles 3

Recommended Articles

Metrics

Comments

For authors

For reviewers

Reader center

Contact us

[1]	Wang Nannan, Zhang Chunfeng, Meng Qingying, Zhu Baoguo, Li Yu, Zhang Hongquan, Song Yingbo, Fan Weimin, Li Candong, Jin Xiaochun. Design of Formula Fertilization System Based on Nutrient Balance Fertilization Method [J]. Journal of Agriculture, 2021, 11(7): 92-94.
[2]	Liu Yongbo, Lei Bo, Hu Liang, Tang Jiangyun, Cao Yan, Yin Yalin. The Grading Determination of Rice Blast: HSV Color Space Method Based on Machine Vision [J]. Journal of Agriculture, 2020, 10(10): 83-90.
[3]	Li Daoliang. Agriculture 4.0, the Approaching Age of Intelligent Agriculture [J]. Journal of Agriculture, 2018, 8(1): 215-222.