Advertisement

Researches of Digital Design System of Rice Cultivation Based on Web and Simulation Models

  • Hongxin Cao
  • Zhiqing Jin
  • Yuwang Yang
  • Chunlin Shi
  • Daokuo Ge
  • Xiufang Wei
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

In order to integrate web with crop growth simulation and decision-making support system, the field experiment of different basal levels was carried out in experiment area of Jiangsu Academy of Agricultural Sciences in 2005 adopting 4 cultivars such as “Wuyungeng 7”, “Yangdao 6”, “Yueyou 948” and “Nangeng 41”, which mainly were used in collecting cultivar parameters and updating database of them. The database of rice cultivars, soil and weather data were developed using SQL Server 2000. The pages of digital design system of rice cultivation based on web and simulation model (DDSRCBWSM) were designed using Visual Studio.Net, which included register, the main page, cultivar parameter management, site data management, parameter adjustment, decision making for rice cultivation, and so on. The DDSRCBWSM accorded with TCP/IP agreements, which could be installed and run in server (IIS5.0), and be browsed on internet, it inherited mechanism, universal adaptability and utility of rice cultivation simulation-optimization-decision making system (RCSODS), combined web techniques with research of rice growth models, set up web system of RCSODS, made agricultural technicians of main rice production area of china gain pre-sowing optimization cases and rice management suggestion of the current year with dynamic, goal and digital characteristic in accordance with soil, cultivar and weather conditions online, and to fulfill technical direction through many kind manner such as paper, internet, email, television, wall newspaper, and so on, eventually.

Keywords

Web Simulation model Rice cultivation Decision-making support system Digital design 

References

  1. Bostick M, Koo J, Walen V K , Jones J, Hoogenboom G. A web-based data exchange system for crop model applications. Agronomy Journal, 2004, 96(3):853-836CrossRefGoogle Scholar
  2. Chen S H, Mao D M, Xu Y M. Development of soil nutrition regional management system in Xinjiang Uigur Autonomous WEBGIS-based. Modernization Agriculture, 2003, (11): 27-29 (in Chinese)Google Scholar
  3. Chu J X. Design and Development of the Web Based Forest Fire Forecast System. FOREST RESOURCES MANAGEMENT, 2003, (5):58-60 (in Chinese)Google Scholar
  4. Comis D. Model takes the guesswork out of fertilizing, Agricultural Research,1999, 47(10): 15Google Scholar
  5. Gao D M, Yang P H. Implement of web database in internet corn expert system. Journal of Taiyuan University of Sciences & Technology, 2000, 31(5):477-480 (in Chinese)Google Scholar
  6. Gao L Z, Jin Z Q, Huang Y, Li B B. Rice Cultivational Simulation-optimization-decision Making System. Beijing: Chinese Agri Sci & Tech Press, 1992, pp. 21-40 (in Chinese)Google Scholar
  7. Gunn R L, Mohtar R H, Engel B A. World-Wide-WEB-based soil and water quality modeling in undergraduate education, Journal of Natural Resources and Life Sciences Education, 2002, 31:141-147Google Scholar
  8. Li X, Yang B Z, Guo T C, Zhao C J, Chen L P. Researches of field crop management geographical information system based on integration of WebGIS and ES. Journal of North China Agronomy, 2003, 18(2):106-109 (in Chinese)Google Scholar
  9. Liao G P, Li A P, Wu Q Y, Guan C Y. Knowledge Representation of Prescribed Fertilization in Web-Based Expert System of Rapeseed (B. napus) Production. Journal of Hunan Agricultural University (Natural Sciences), 2002, 28(5):378-382 (in Chinese)Google Scholar
  10. Liu H T, Qin Q M. Researches and application of soil eroding model WEBGIS-based. Journal of Water and soil Preserve, 2001, 15(3):52-55 (in Chinese)Google Scholar
  11. McCown R L. Changing systems for supporting farmers’ decisions: problems, paradigms, and prospects Agricultural Systems, 2002,74(1):179-220CrossRefGoogle Scholar
  12. Miller R C, Guertin D P, Heilman P. Information technology in watershed management decision making, Journal of the American Water Resources Association, 2004, 40(2): 347-357CrossRefGoogle Scholar
  13. Shaffer M J. Nitrogen modeling for soil management, Journal of Soil and Water Conservation, 2002, 57(6):417-425Google Scholar
  14. Shi J P, Lu R K, Wang D J. Design and establishment of databases for fertilizing decision- making support WEB-based. Soil, 1999, (6):299-316 (in Chinese)Google Scholar
  15. Wang L S, Qi G Q, Fan Y C. Design and development based on net of agricultural decision consulting system. Agricultural Mechanization Research, 2003, (2):136-137 (in Chinese)Google Scholar
  16. Wang S L, Zhang L W, Liu G S, Wang J L. Researches of agricultural weather information service technology online. Chinese Agricultural Meteorology, 2004, 25(1):1-4 (in Chinese)Google Scholar
  17. Winston R B. Ground water modeling software on the Internet, Ground Water, 2002, 40 (4):335-336CrossRefGoogle Scholar
  18. Yang B Z, Zhao C J, Li A P, Wu Q Y, Sun X, Wu H R. Researches and application of agricultural expert system platform (PAID) based on WEB and components. High Technology Newsletter, 2002, (3):5-9 (in Chinese)Google Scholar
  19. Yu G H. Farm information services system FIIS based on the web. Computer & Agriculture, 2000, (9):13-17 (in Chinese)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Hongxin Cao
    • 1
  • Zhiqing Jin
    • 1
  • Yuwang Yang
    • 2
  • Chunlin Shi
    • 1
  • Daokuo Ge
    • 1
  • Xiufang Wei
    • 1
  1. 1.Institute of Agricultural Resources and Environment ResearchJiangsu Academy of Agricultural SciencesChina
  2. 2.School of Computer SciencesNanjing University of Sciences & TechnologyChina

Personalised recommendations