Research on Application of Information Technology in Vegetable Cultivation of High Yield and Quality

Hui Chen; Xin Li Yang

doi:10.4028/www.scientific.net/AMR.926-930.1179

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research on Application of Information Technology...

Research on Application of Information Technology in Vegetable Cultivation of High Yield and Quality

Abstract:

The information technology which is applied in the vegetable cultivation of high yield and quality is called the agricultural expert system. Aiming at developing a agricultural expert system, this paper discusses the research status of agricultural expert system (AES) and its software test tool, and outlines the application of Multi-Agent theory and technology. To address the problems existing in the current AES software development, this paper puts forward the research idea of Multi-Agent-based AES software test tool to inspect its standardization, fault tolerance and logic error, while provides relative technical practices. This paper also introduces the design, development and function of AES software test tool as well as application of Agent technology, and further discusses the advantages of developing the tool by utilizing Multi-Agent technology.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1179-1182

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1179

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Online since:

May 2014

Authors:

Hui Chen*, Xin Li Yang

Keywords:

Agent Based, Expert System, High Quality, High Yield, Information Technology (IT), Vegetable Cultivation

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References

[1] Roorda van Eysinga, J.P.N.L., Smilde, K.W., Nutritional disorders in glasshouse tomatoes, cucumbers and lettuce. Centre for Agricultural Publishing and Documentation, Wageningen, 1981. p.130.

DOI: 10.2136/sssaj1972.03615995003600040006x

Google Scholar

[2] Ross, D. N., & Rosenbloom, A. Reflections on building and teaching an undergraduate strategic management course in a blended format. Journal of Management Education, 2011, 35, 351-376.

DOI: 10.1177/1052562911398979

Google Scholar

[3] Wankel, C. Management education using social media. Organizational Management Journal, 2009, 6, 251-262.

Google Scholar

[4] Castilla, N., Vegetable production under simple structures in Southern Europe. 1. Spain. Extension Bulletin No. 348. ASPAC Food and Fertilizer Technology Center, Taipei City, Taiwan, 1992, pp.1-8.

Google Scholar

[5] Sideridis, A.B., Yialouris, C.P., KBLTM: A Knowledge Base Language Translator Module. Tech. Rep. TR-110, Informatics Laboratory, Agricultural University, Athens, 1996, pp.8-20.

Google Scholar