Agent-Based Cooperative Analysis and Assistant Decision-Making Method for Regional Agricultural Economic Information

Zhu, Yeping; Li, Shijuan; Liu, Shengping; Xu, Yanchao

doi:10.1109/fskd.2009.797

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Xue Ling at Peking University and Chinese Academy of Agricultural Sciences applied agent to the study on modern agricultural economic management and decision-making system, provided the structure and components of Agriculture Economy Intelligent Decision Support System (AEIDSS), analyzed the implementation method of classifier-based agent, and discussed the work principle of dynamic analysis, evaluation, forecasting and optimization under multi-agent communication and cooperative environment. The author also designed the Agent-based Cooperative Analysis and Decision Support System for Regional Agricultural Economic Information [27][28][29][30].…”

Section: Status and Analysis Of The Studymentioning

confidence: 99%

Design of Agent-Based Agricultural Product Quality Control System

Zhu

Liu

et al. 2011

Computer and Computing Technologies in Agriculture IV

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Aiming at the problems existed in agricultural product quality control, management and traceability such as the considerable influence of human factors, weak ability of handling emergencies and lacking of support of intelligent key technologies, this study explores the application of agent theory, method and technique to solve the problems of process control, traceability, intelligent information watching and information technology application to emergency reaction conditioned on the general characteristics from production to circulation. In this study agent application and development method will be put forward. By means of investigating its communication and cooperative mechanism, we design the agent-based universal system framework for quality control of agricultural product. According to production and processing characteristics of different agricultural products, corresponding controlling unit and condition are increased to adapt to the special aim.

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Section: Status and Analysis Of The Studymentioning

confidence: 99%

Design of Agent-Based Agricultural Product Quality Control System

Zhu

Liu

et al. 2011

Computer and Computing Technologies in Agriculture IV

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“…The rapid evolution and maturity of the technologies of GIS, RS, GPS, grid, computer provide better foundation and wider development prospect for the regional application of crop simulation model [9][10][11][12]. Relying on the task of "Key Technology Study on Crop Production Management and Application", combining with Agriculture and Animal Husbandry Administrative Bureau of Dingxing County, Hebei province, we studied the application and demonstration of maize production management system [13,14]. This system instructs maize production from sowing to development phases to harvest.…”

Section: Introductionmentioning

confidence: 99%

Application and Demonstration of Digital Maize Planting and Management System

Zhu

2011

Computer and Computing Technologies in Agriculture IV

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Cooperating with Agriculture and Animal Husbandry Administrative Bureau of Dingxing County, Hebei province, we applied the agricultural information software of Digital Maize Planting and Management System to guide local maize production. This system can direct the maize production during the whole course including digital simulation and design of maize production, planting plan before sowing, optimal water and nitrogen operation, nitrogen pollution warning, economic benefits analysis and so on. This study tries to establish the foundation for information and digitalization of maize production and management.

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