1.A study of Constructing Asian Pacific Seedlings Industrial Information Services Platform 。Since the technology of information and communication and seedling industry are developing rapidly， the agricultural public sector must be able to provide further depth and breadth of real-time industrial information services for seedling industry towards highly refined and international development. However， information scattered， repetitive or uneven quality problems will be encountered while the amount of information is continuous increasing. Therefore， to plan and constructs an integrated industrial information services which providing diversified industrial information services to satisfy the information needs of the seedling industry should be an important research issue. The research used the methods of content analysis， interviews， questionnaires and expert panels； it firstly investigated 10 database resources and nine related domestic industrial service information platforms to study the current status of industrial information resources and services. It followed conducted a questionnaire survey and interviews to understand the requirements of information services from users of seedling industry so as to plan and construct the industrial information services platform. The general construction of the Asian Pacific plant seedling industrial information services platform contains platform purpose， contents and functions. One of the functions of the "Industrial Services" covers a variety of information， technical services， marketing， seedling community， intellectual property protection and industry databases； organized panels of experts after the planning were completed and collected expert views as reference to amend the planning. The platform is expected to be accomplished in 2012； it will provide comprehensive reliable and real-time of seedling industry competitive information for policy decision makers， researchers and seedling suppliers. The outcomes of this research can be available to industrial information services planning for the agricultural public sector.。2.Development of Feature Extraction and Pattern Recognition Programs for Similarity Evaluation on Phalaenopsis Flowers 。Using image processing methods， build an automated Phalaenopsis species verification System. First， we apply the image processing method using Phalaenopsis of Dorsal sepal， Lateral sepal， Petal and Lip images to do the Phalaenopsis image color， shape and texture feature extraction.Using these feature vectors can be query comparison the similarity between database information of each existing Phalaenopisis data and test Phalaenopisis data. Then， the identify staff can input the new Phalaenopisis image test data to the system， the system will compare the input data and database data and output top result (from high score to low score similarity) to the identify staff for reference. This will assists identify staff to judge this Phalaenopsis image whether is the new variety.。
1.A study of Constructing Asian Pacific Seedlings Industrial Information Services Platform 。Since the technology of information and communication and seedling industry are developing rapidly， the agricultural public sector must be able to provide further depth and breadth of real-time industrial information services for seedling industry towards highly refined and international development. However， information scattered， repetitive or uneven quality problems will be encountered while the amount of information is continuous increasing. Therefore， to plan and constructs an integrated industrial information services which providing diversified industrial information services to satisfy the information needs of the seedling industry should be an important research issue. The research used the methods of content analysis， interviews， questionnaires and expert panels； it firstly investigated 10 database resources and nine related domestic industrial service information platforms to study the current status of industrial information resources and services. It followed conducted a questionnaire survey and interviews to understand the requirements of information services from users of seedling industry so as to plan and construct the industrial information services platform. The general construction of the Asian Pacific plant seedling industrial information services platform contains platform purpose， contents and functions. One of the functions of the "Industrial Services" covers a variety of information， technical services， marketing， seedling community， intellectual property protection and industry databases； organized panels of experts after the planning were completed and collected expert views as reference to amend the planning. The platform is expected to be accomplished in 2012； it will provide comprehensive reliable and real-time of seedling industry competitive information for policy decision makers， researchers and seedling suppliers. The outcomes of this research can be available to industrial information services planning for the agricultural public sector.。2.Development of Feature Extraction and Pattern Recognition Programs for Similarity Evaluation on Phalaenopsis Flowers 。Using image processing methods， build an automated Phalaenopsis species verification System. First， we apply the image processing method using Phalaenopsis of Dorsal sepal， Lateral sepal， Petal and Lip images to do the Phalaenopsis image color， shape and texture feature extraction.Using these feature vectors can be query comparison the similarity between database information of each existing Phalaenopisis data and test Phalaenopisis data. Then， the identify staff can input the new Phalaenopisis image test data to the system， the system will compare the input data and database data and output top result (from high score to low score similarity) to the identify staff for reference. This will assists identify staff to judge this Phalaenopsis image whether is the new variety.。