| In this paper, through systematic sorting and analyzing, we discuss in detail the CHINAGAP standardization system, and explore it from various aspects including the related concepts, content, standard systems, development history, and current status. Finally, we propose strategies for the further development of GAP in China.Based on the work done pertaining to the GAP promotion and informatization development by the High-quality Agricultural Product Development Service Center of the Ministry of Agriculture (MOA), we investigated the development and application of the production and certification information service platform (ISP), expert system, and traceability system of CHINAGAP. Moreover, we surveyed and analyzed the use and promotion status of the above-mentioned platform and systems.The CHINAGAP production and certification ISP serves agricultural producers (applicants for CHINAGAP certification), certification bodies, and consumers. Technically, it adopts an ASP.NET three-tier architecture with a strong trans-platform capability, a dynamic web content management system (CMS), and a backstage management system built by a publishing system. The CHINAGAP production and certification ISP is divided into two parts, back-stage management and foreground display interaction. The CHINAGAP production and certification ISP contains 12 content columns. These are newsletters, office hall, certification progress inquiry, certification statistics, user login, certification application, data download, inquiry division, features, online surveys, site search, and links. This platform is effective for CHINAGAP production and certification information services, knowledge inquiry, online certification application and online approval,etc.The CHINAGAP expert system adopted the B/S structure with a model-view-controller (MVC) design pattern consisting of three layers (the service layer, business logic layer, and data layer). The design pattern has six functional modules, namely modules for standard consultation, knowledge management, production management recommendation, user management, system maintenance, and "help." A combined use of ontology reasoning and data-mining technologies allows the successful realization of the recommendation function of the CHINAGAP control point. The standard knowledge section in CHINAGAP realizes knowledge sharing and reuse by using ontology for knowledge representation, providing a reference for the further development of CHINAGAP-related software and semantic net. The mining of association rules for historical data pertaining to CHINAGAP certification is performed using a data-mining technique. By improving the classical Apriori algorithm and optimizing the operation process, users’preference patterns regarding the use of CHINAGAP standards can be identified. Then, a multi-index control point evaluation model is used to select the recommendations based on the evaluation and analysis of expert experience combined with the users’preferences that have been stored in history. By employing this approach, the reasoning of the expert system is scientific and user-friendly, and as a result, the system can recommend results that are more in line with the user’s personal needs, thus being more operable.The CHINAGAP traceability system designs to-be-traced content based on the standard content in the CHINAGAP. Fault-tree analysis is applied to establish an appropriate risk-assessment model consisting of five modules, namely, information enquiry, link management, risk assessment, label management, and system maintenance, in order to achieve multiple functions such as the electronic storage and enquiry of production records, the assessment of production failure risk, and the generation of traceable labels.With respect to the promotion and use of the CHINAGAP production and certification ISP, expert system, and traceability system, our survey indicates that users’ responses basically meet the expectations at the design phase of the platform and both systems. This result proves that the platform and both systems play a relatively satisfactory role in aspects such as CHINAGAP’s standard publicity, certification services, and production guidance. Meanwhile, the survey also revealed several problems and shortcomings. This study can serve as an important reference for realizing further improvements in platform-column design and system functions. |
