The Initial Impact of WTO Membership on China's Trade Performance in Primary Agricultural And Processed Food Products

There has been much analysis of the potential impact of China's membership of the WTO on world trade in agricultural products but few studies of the actual effects thus far on China's trade performance. This paper compares changes in the competitiveness of China's trade in primary agricultural food and processed food products over the period 1998 to 2003 through a range of comparative advantage measures, the preferred being Revealed Symmetric Comparative Advantage. It also decomposes changes in China's export market share of these products over the period into structural and performance components and identifies where shifts in the global regional distribution of its exports have contributed to changes in its overall market share.China, agricultural, processed foods, exports, competitiveness, International Relations/Trade, Q17, O13,

Toward developing a tele-diagnosis system on fish disease

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able to access the Internet. Telephone and mobile uses increase rapidly, so, the provision of call centre service appears as a sound alternative support channel for farmer to acquire counseling and support. This paper presents a research attempt to develop and evaluate a call center oriented Hybrid disease diagnosis & consulting system (H-Vet) in aquaculture in China. This paper looks at why H-Vet is needed and what are the advantages and difficulties in the developing and using such a system. A machine learning approach is adopted, which helps to acquire knowledge when enhancing expert systems with the user information collected through call center. This paper also proposes a fuzzy Group Support Systems (GSS) framework for acquiring knowledge from individual expert and aggregating knowledge into workgroup knowledge by H-Vet in the situation of difficult disease diagnosis. The system’s architecture and components are describedIFIP International Conference on Artificial Intelligence in Theory and Practice - Expert SystemsRed de Universidades con Carreras en Informática (RedUNCI

A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with these uncertainty knowledge’s representation and reasoning. In this paper, the well-developed parsimonious covering theory capable of handling randomicity knowledge is extended. A fuzzy inference model capable of handling fuzzy knowledge is proposed, and the corresponding algorithms based the sequence of obtaining manifestations are provided to express imperfection knowledge. In the last, the model is proved to be effective and practicality through a set of fish-disease diagnostic casesIFIP International Conference on Artificial Intelligence in Theory and Practice - Expert SystemsRed de Universidades con Carreras en Informática (RedUNCI

Critical Success Factors for the Adoption of Traceability Systems in Chinese Seafood Enterprises

The growing global interest in traceability in supply chains has resulted in a variety of public policy and private sector initiatives in numerous countries. It is widely accepted in developed countries that whole chain traceability of food - from inputs, treatments, processing and packaging distribution and marketing - is absolutely essential to ensure safety, to ensure export market entry and to enhance business competitiveness in global markets. A number of food safety scares however have increased both national and world-wide concerns over the quality of Chinese food products and the effectiveness of traceability implementation and monitoring in the Chinese food sector. Although traceability systems for some fresh products have been introduced, there have been no published studies which have identified the critical success factors governing the adoption of traceability systems in the Chinese seafood sector. The study aims at revealing the critical success factors for the adoption and implementation of traceability systems through a series of focus group discussions with participants from government, fishery enterprise managers and technical staff. The findings of this study can inform and help fishery enterprises and market regulators to consider such factors before embarking on the journey of traceability adoption.Keywords: Fish and Aquaculture Sectors Development, Fisheries Economic

A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with these uncertainty knowledge’s representation and reasoning. In this paper, the well-developed parsimonious covering theory capable of handling randomicity knowledge is extended. A fuzzy inference model capable of handling fuzzy knowledge is proposed, and the corresponding algorithms based the sequence of obtaining manifestations are provided to express imperfection knowledge. In the last, the model is proved to be effective and practicality through a set of fish-disease diagnostic casesIFIP International Conference on Artificial Intelligence in Theory and Practice - Expert SystemsRed de Universidades con Carreras en Informática (RedUNCI

Toward developing a tele-diagnosis system on fish disease

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able to access the Internet. Telephone and mobile uses increase rapidly, so, the provision of call centre service appears as a sound alternative support channel for farmer to acquire counseling and support. This paper presents a research attempt to develop and evaluate a call center oriented Hybrid disease diagnosis & consulting system (H-Vet) in aquaculture in China. This paper looks at why H-Vet is needed and what are the advantages and difficulties in the developing and using such a system. A machine learning approach is adopted, which helps to acquire knowledge when enhancing expert systems with the user information collected through call center. This paper also proposes a fuzzy Group Support Systems (GSS) framework for acquiring knowledge from individual expert and aggregating knowledge into workgroup knowledge by H-Vet in the situation of difficult disease diagnosis. The system’s architecture and components are describedIFIP International Conference on Artificial Intelligence in Theory and Practice - Expert SystemsRed de Universidades con Carreras en Informática (RedUNCI