Recently the use of smart phones and mobile devices is increasing rapidly, data search and retrieval in the mobile environments are generalized. There are only few mobile applications available in the area of agriculture while huge amount of new applications are developed and uploaded. The purpose of this study was to develop the android based mobile application for providing agricultural infrastructure and disaster information. The mobile application was designed through the database establishment and management system, server management system, and mobile application development. The database is composed of weather data, agricultural infrastructure data, and agricultural disaster data. By developing the mobile application which provides agricultural infrastructure information, it is expected to improve the accessibility to agricultural information and mitigate the agricultural disaster damages.

NABIC(National Agricultural Biotechnology Information Center) established integrated management system of agricultural omics information to achieve and analyze a agricultural bio-information resources in Korea. The amount of bio-information is enormously increasing due to emergence of NGS(Next Generation Sequencing) technology. We are building, maintaining and providing agricultural bio-information databases and information services. Various data type for submission is available such as genome, proteome, transcriptome, metabolome, molecular marker, etc. We issue the submission confirmation which is available for research achievement. Currently, the amount of data submitted on our system is 30Tb. We are also providing various analysis pipelines such as NGS analysis(denovo, rna-seq, reference assembly), Gene annotation, GWAS, marker analysis for breeding ,Microbial community analysis and differential expression profiling analysis using submitted data through web. We have a plan to provide bioinformatics education portal in this year.

GLOBALG.A.P는 FV 기준 총 234개의 체크리스트를 가진 표준 체계이다. 많은 항목에 대한 체계적 관리를 위하여 단체 또는 농가가 쉽게 접근할 수 있는 방법으로 체크리스트가 재 구성되어야 한다. 본 연구에서는 이러한 관점에서 GLOBALG.A.P의 기준을 Fig. 4처럼 5개의 상위 수준 그룹과 각각에 대한 하위 그룹으로 재조정하였다. 이는 체크리스트를 궁극적으로 사용하는 기관의 관점으로 재조정한 모델인 것으로 다음과 같은 구조로 구성된다 : 기관관리(6개 하위 그룹), 농가관리(5개 하위 그룹), 분석평가(4개 하위 그룹), 생산관리(6개 하위 그룹), 유통관리(5개 하위 그룹). 또한 3종의 외부 연계 시스템과 연계되어 운영될 수 있게 하였으며, 농가나 단체가 본 시스템에서 요구하는 기준으로 등록을 한다면 GLOBAL G.A.P의 체크리스트를 전부 만족할 수 있다는 것을 의미한다. 그러나 각 항목 내용에 대한 진실성은 본 시스템에서 관여하지 않는다. 개발하는 시스템으로 아직 본 시스템을 통하여 실제적으로 인증 받은 기관은 현재 없지만 시스템의 안정성과 활용성, 그리고 미비사항을 보완하기 위하여 제주하귀농업협동조합(감귤, 고문남 농가와 조매선 농가)과 경남 가야농업협동조합(파프리카, 전명권 농가, 영남영농조합법인 농가) 등 2개 단체에 대하여 테스트베드를 운영하였다. 현재 FV 기준으로 마련된 본 시스템은 타 작물로 확대되어야 하며, 장기적으로 모든 농가와 단체에서 사용하여 농가나 단체가 별도의 문서 관리 없이 본 시스템으로 대처하여 쉽게 인증 관리를 할 수 있을 것을 기대한다.

NABIC(National Agricultural Biotechnology Information Center) established integrated management system of agricultural omics information to achieve the agricultural bio-information resources of Korea. The amount of bio-information is enormously increasing due to emergence of NGS(Next Generation Sequencing) technology. We has building, maintaining and providing agricultural bio-information databases and information services. Various data type for submission is available such as genome, proteome, transcriptome, metabolome, molecular marker, etc. We issue the submission confirmation which is available for research achievement. Currently, the amount of data submitted on our system is 4.3Tb. We are planning to integrate genome annotation system and NGS analysis system this year. The Agricultural Omics Information Submission System is available through web site(http://nabic.naas.go.kr/submission).

Agricultural information was discussed for suggesting tasks and solutions of knowledge based information system. States of agricultural information systems in rural development administration were described and problems and tasks were summarized in knowledge needs survey of farmers who have to decide many alternatives for farming. Hard to access information are soil state, disease and insect pest. Important information in agriculture are water, soil fertility, soil physical property, and accessibility from main road. In conclusion, knowledge based agricultural information system can be developed based on surveyed needs.

This study reviews and modifies general IS success models to find success factors of WIS(Web-based Information Systems) and to confirm the relationship between WIS success and user's satisfaction of web use. A WISSM(Web-based Information Success Model extended to include EQ(E-Quality) is developed to anticipate user's intention to use Web-based Agricultural Information System and fit into the survey data from 252 WIS users of RDA(Rural Development Administration). PLS is applied to estimate a structural model based on EQ-WISSM to test hypotheses including 1) users reach a high level of intention to use Web-based Information Systems when they feel a high level of interactivity among an 'E-Quality', 'Decision Making Support Satisfaction' and 'Task Support Satisfaction', and E-Quality boosts intention to use Web-based Information Systems. The results show high path coefficients and R2 values and find followings; First, the EQ-WISSM explains the user's intention to use WAIS quite well. Second, E-Quality can be used well in web-based IS environment to predict IS Success. Finally, this research finds the importance of 'Task Support Satisfaction' as a mediator between 'Decision Making Support Satisfaction', 'E-Quality' and 'Intention to Use'.