基于国营农场的作物生产信息管理系统设计与实现

doi:10.3864/j.issn.0578-1752.2012.11.004

摘要/Abstract

摘要： 【目的】研究基于国营农场规模化农业生产模式下作物生产信息管理系统的作用、功能、以及设计和实现方法。【方法】以新疆兵团农场为例分析国营农场的作物生产信息管理特点，合理划分角色和功能，使用BS（Browser/Server）和CS（Client/Server）混合软件结构模式，基于.net技术体系采用面向对象程序设计方法。【结果】开发了适用于国营农场的作物生产信息管理系统并在兵团130团场进行试运行，系统融合RS和GIS技术，提供了信息采集、录入、管理、统计分析等功能，能够满足国营农场生产管理要求，大大提高工作效率。系统采用基于服务的软件结构，将数据访问封装为Web服务，初步提供异构系统数据共享支持。【结论】通过设计和开发基于中国国情的农作物生产信息管理系统，提高了国营农场的管理效率，并为精准农业相关技术在生产中的充分应用提供了数据支持和系统架构上的探索。

关键词: 作物生产, 信息管理系统, 异构, 数据共享, 精准农业

Abstract: 【Objective】The purpose of the study is to research the effects, functions, designing and implementation methods of crop production management information system based on large-scale agricultural production of state-operated farm.【Method】Using a farm of the production and construction corps of Xinjiang as an example, the characteristics of crop production management information system for state-operated farm were analyzed and the roles and functions should be assigned reasonably. The system architecture is mixed by BS(Browser/Server) and CS(Client/Server), developed by object oriented programming method based on .net technology.【Result】A crop production management information system was developed by using the mixed RS and GIS technologies and running on the 130 farms of the construction corps. It involves functions such as information collection, entering, management and analysis, which could meet the requirements of crop production management of state-operated farms and made work more efficient. The service based architecture is used to envelope the data access method and support data sharing for heterogeneous systems.【Conclusion】Through designing and development of crop production management information system based on the nation conditions to elevate the managerial efficiency of state-operated farms, thus providing the data support and tentative exploration of system architecture for full use of technologies related to precision agriculture.

Key words: crop production, management information system, heterogeneity, data sharing, precision agriculture

戴建国, 王克如, 李少昆, 李栓明, 王琼. 基于国营农场的作物生产信息管理系统设计与实现[J]. 中国农业科学, 2012, 45(11): 2159-2167.

DAI Jian-Guo, WANG Ke-Ru, LI Shao-Kun, LI Shuan-Ming, WANG Qiong. Designing and Implementation of Crop Production Management Information System Based on State-Operated Farm[J]. Scientia Agricultura Sinica, 2012, 45(11): 2159-2167.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2012.11.004

https://www.chinaagrisci.com/CN/Y2012/V45/I11/2159

参考文献

[1]赵春江, 薛绪掌, 王　秀, 陈立平, 潘瑜春, 孟志军. 精准农业技术体系的研究进展与展望. 农业工程学报, 2005, 21(4): 91-96.

Zhao C J, Xue X Z, Wang X, Chen L P, Pan Y C, Meng Z J. Advance and prospects of precision agriculture technology system. Transactions of the CSAE, 2005, 21(4): 91-96. (in Chinese)

[2]孟志军, 王秀, 赵春江, 薛绪掌. 基于嵌入式组件技术的精准农业农田信息采集系统的设计与实现. 农业工程学报, 2005, 21(4): 91-96.

Meng Z J, Wang X, Zhao C J, Xue X Z. Development of field information collection system based on embedded COM-GIS and pocketPC for precision agriculture. Transactions of the CSAE, 2005, 21(4): 91-96. (in Chinese)

[3]黄文江, 王锦地, 穆西晗, 王纪华, 刘良云, 刘强, 牛铮. 基于核驱动模型参数反演的作物株型遥感识别. 光谱学与光谱分析, 2007, 27(10): 1921-1924.

Huang W J, Wang J D, Mu X H, Wang J H, Liu L Y, Liu Q, Niu Z. Crop geometry identification based on inversion of semiempirical BRDF models. Spectroscopy and Spectral Analysis, 2007, 27(10): 1921-1924. (in Chinese)

[4]王纪华, 黄文江, 劳彩莲, 张录达, 罗长兵, 王韬, 刘良云, 宋晓宇, 马智宏. 运用PLS算法由小麦冠层反射光谱反演氮素垂直分布. 光谱学与光谱分析, 2007, 27(7): 1319-1322.

Wang J H, Huang W J, Lao C L, Zhang L D, Luo C B, Wang T, Liu L Y, Song X Y, Ma Z H. Inversion of winter wheat foliage vertical distribution based on canopy reflected spectrum by partial least squares regression method. Spectroscopy and Spectral Analysis, 2007, 27(7): 1319-1322. (in Chinese)

[5]李少昆, 索兴梅, 白中英, 祁之力, 刘晓鸿, 高世菊, 赵双宁. 基于BP神经网络的小麦群体图像特征识别. 中国农业科学, 2002, 35(6): 616-620.

Li S K, Suo X M, Bai Z Y, Qi Z L, Liu X H, Gao S J, Zhao S N. The machine recognition for population feature of wheat images based on BP neural network. Scientia Agricultura Sinica, 2002, 35(6): 616-620. (in Chinese)

[6]赵春江, 诸德辉, 李鸿祥, 杨宝祝, 康书江, 郭晓维. 小麦栽培管理计算机专家系统的研究与应用. 中国农业科学, 1997, 30(5): 42-49.

Zhao C J, Zhu D H, Li H X, Yang B Z, Kang S J, Guo X W. Study on Intelligent Expert System of Wheat Cultivation Management and Its Application. Scientia Agricultura Sinica, 1997,30(5):42-49. (in Chinese)

[7]曹卫星, 潘洁, 朱艳, 刘小军. 基于生长模型与Web应用的小麦管理决策支持系统. 农业工程学报, 2007, 23(1): 133-138.

Cao W X, Pan J, Zhu Y, Liu X J. Growth model and web application-based decision support system for wheat management. Transactions of the CSAE, 2007, 23(1): 133-138. (in Chinese)

[8]冀荣华, 吴才聪, 李民赞, 叶海建, 郭巍, 郑立华. 基于远程通讯的农田信息管理系统设计与实现. 农业工程学报, 2009, 25(Suppl.2): 165-169.

Ji R H, Wu C C, Li M Z, Ye H J, Guo W, Zheng L H. Development and implementation of field information management system based on telecommunications. Transactions of the CSAE, 2009, 25(Suppl.2): 165-169. (in Chinese)

[9]郭武士, 易欣, 陈云坪, 王秀. 基于WebGIS和条码技术的土壤空间信息管理系统. 农业工程学报, 2010, 26(9): 251-256.

Guo W S, Yi X, Chen Y P, Wang X. Soil spatial information management system based on WebGIS and barcode technology. Transactions of the CSAE, 2010, 26(9): 251-256. (in Chinese)

[10]赵朋, 刘刚, 李民赞, 李道亮. 基于GIS的苹果病虫害管理信息系统. 农业工程学报, 2006, 22(12): 150-154.

Zhao P, Liu G, Li M Z, Li D L. Management information system for apple diseases and insect pests based on GIS. Transactions of the CSAE, 2006, 22(12): 150-154. (in Chinese)

[11]周治国, 曹卫星, 朱艳, 王绍华, 潘洁, 王启猛. 基于GIS的作物生产管理信息系统. 农业工程学报, 2005, 21(1): 114-118.

Zhou Z G, Cao W X, Zhu Y, Wang S H, Pan J, Wang Q M. GIS-based information system for crop production management. Transactions of the CSAE, 2005, 21(1): 114-118. (in Chinese)

[12]郭银巧, 赵传德, 刘小军, 姜晓剑, 曹卫星, 朱艳, 李存东, 孙红春. 基于模型和GIS的数字棉作系统的设计与实现. 农业工程学报, 2008, 24(11): 139-144.

Guo Y Q, Zhao C D, Liu X J, Jiang X J, Cao W X, Zhu Y, Li C D, Sun H C. Design and implementation of digital cotton farming system based on models and GIS. Transactions of the CSAE, 2008, 24(11): 139-144. (in Chinese)

[13]刘忠. 中国农业管理信息系统发展现状、问题、趋势与对策. 农业工程学报, 2005, 21(Suppl.2): 201-206.

Liu Z. Status, questions, trend and strategy of management information system for agriculture in China. Transactions of the CSAE, 2005, 21(Suppl.2): 201-206. (in Chinese)

[14]Kutter T, Tiemann S, Siebert R, Fountas S. The role of communication and co-operation in the adoption of precision farming. Precision Agriculture, 2009, 12(1): 2-17.

[15]Fountas S, Kyhn M, Jakobsen H L, Wulfsohn D, Blackmore S, Griepentrog H W. A systems analysis of information system requirements for an experimental farm. Precision Agriculture, 2009, 10(3): 247-261.

[16]Sorensen C G, Pesonen L, Fountas S, Suomi P, Bochtis D, Bildsoe P, Pedersen S M. A user-centric approach for information modelling in arable farming. Computers and Electronics in Agriculture, 2010, 73(1): 44-55.

[17]Nikkila R, Seilonen I, Koskinen K. Software architecture for farm management information systems in precision agriculture. Computers and Electronics in Agriculture, 2010, 70(2): 328-336.

[18]Sorensen C G, Pesonen L, Bochtis D D, Vougioukas S G, Suomi P. Functional requirements for a future farm management information system. Computers and Electronics in Agriculture, 2011, 76(2): 266-276.

[19]Sorensen C G, Fountas S, Nash E, Pesonen L, Bochtis D, Pedersen S M, Basso B, Blackmore S B. Conceptual model of a future farm management information system. Computers and Electronics in Agriculture, 2010, 72(1): 37-47.

[20]Murakami E, Saraiva A M, Ribeiro L C M, Cugnasca C E, Hirakawa A R, Correa P L P. An infrastructure for the development of distributed service-oriented information systems for precision agriculture. Computers and Electronics in Agriculture, 2007, 58(1): 37-48.

[21]Wolfert J, Verdouw C N, Verloop C M, Beulens A J M. Organizing information integration in agri-food-A method based on a service-oriented architecture and living lab approach. Computers and Electronics in Agriculture, 2010, 70(2): 389-405.

[22]Xu L Y, Chen L P, Chen T E, Gao Y B. SOA-based precision irrigation decision support system. Mathematical and Computer Modelling, 2011, 54(3-4): 944-949.

[23]年福丰, 刘秋让. 基于WCF的异构数据源集成系统的研究和实现. 科学技术与工程, 2009, 9(11): 1671-1819.

Nian F F, Liu Q R. Research on and implementation of integration technology of isomeric data source based on WCF. Science Technology and Engineering, 2009, 9(11): 1671-1819. (in Chinese)

[24]Schu Iftikhar N, Pedersen T B. Flexible exchange of farming device data. Computers and Electronics in Agriculture, 2011, 75(1): 52-63.

[25]Ster E W, Lee H G, Ehsani R, Allen S J, Steven Rogers J. Machine-to-machine communication for agricultural systems: An XML-based auxiliary language to enhance semantic interoperability. Computers and Electronics in Agriculture, 2011, 78(2): 150-161.

[26]Steinberger G, Rothmund M, Auernhammer H. Mobile farm equipment as a data source in an agricultural service architecture. Computers and Electronics in Agriculture, 2009, 65(2): 238-246.

[27]Bostick W M, Koo J, Walen V K, Jones J W, Hoogenboom G. A web-based data exchange system for crop model applications. Agronomy Journal, 2004, 96(3): 853-856.

[28]Kunisch M, Frisch J, Martini D, Böttinger S. AgroXML-a standardized language for data exchange in agriculture[EB/OL]. [2011. 05.13].http://www.itfoodtrace.de/dateien/EFITA_Kunisch_et_al.pdf.

[29]Knudsen S U, Thomsen C. RELAXML-A tool for transferring data between relational databases and XML files[EB/OL]. [2011.10.10]. http://www.relaxml.com/files/relaxml.pdf.