Digital Agriculture is an “intelligent” computer management and application system that includes many high technologies of, such as infomationization, digitization, network, automation and more so on. On the basis of analyzing the main content and meaning of “Digital Agriculture”, this paper designs the system construction of “Digital Agriculture” based on Internet, and discusses the function and structure of main core modules of System of Digital Agriculture in detail. Finally, this paper also analyzes the developing trend about system of “Digital Agriculture”
Rural growth is seen as an engine to drive the economy of developing countries and the use of Agriculture Market Information Services (AMIS) is believed to enable this growth. This paper is based on a literature study and investigates the spread and use of AMIS in the least developed countries (n=49) in terms of users, management, funding, infrastructure, and data. This paper investigates success as well as failure aspects, and discuss the role of new technologies.
Since agricultural scientific data are valuable resources in the field of agricultural science and technology, it is important to share scientific data in agricultural science. The paper analyses current situation and existing problems on data sharing in China, based on expounding the connotation of agricultural scientific data. Then some countermeasures and suggestions are put forward to promote the level of the agricultural scientific data sharing
Under the guidance of the agricultural system theory, operational research theory and decision-making support system theory, the regional agricultural development decision support system (RADDSS) was developed in this study ,in which different analysis method and models was integrated. By providing data, right models and analysis methods, RADDSS can assist decision-makers and administrators to solve half-structured and unstructured problems, improving level of management on agriculture. The agriculture in Xuchang has been analyzed using the system constructed in this study.
Participatory action Research In Software Methodology Augmentation (PRISMA) is a software development methodology which has been amalgamated with Participatory Action Research (PAR). This paper justifies the inclusion of PAR in software development, and describes the PRISMA methodology vis-à-vis a case study. Specifically, the case study encompasses the development of eToro, an Indigenous Knowledge Management System for the Penans, a remote and rural community in Malaysian Borneo
Scientific researchers’ increasing demand for knowledge service under the new situation, makes it urgent to embed information service into user research process, ad build an incorporate knowledge platform that integrates knowledge, skills, tools, and services of certain professional field. This paper put forward the technical solution of agricultural domain knowledge service platform based on ontology, including resource organization based on ontology, platform design and development.
The poor performance of agriculture in sub-Saharan Africa is known to be largely due to the lack of effective and client- responsive agricultural research and development that could generate appropriate technologies and innovations to stimulate the agricultural development process. As a contribution to address this challenge, the Forum for Agricultural Research in Africa (FARA), with support from the United Kingdom’s Department for International Development (DFID), developed a project for Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA).
This paper, presented at "Food 360°: International Conference-cum-Exhibition on Agribusiness and Food Processing, November 05-06, 2012, Hotel Taj Krishna, Hyderabad", focuses on Indian agriculture, which remains the most important sector for India. However, despite its importance, various indicators from the sector show that all is not well.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
This paper outlines key areas of intervention that are identified as the core of FAO's strategy on strengthening Agricultural Innovation Systems (AIS) across multiple areas of work (e.g. research and extension, agroecology, biotechnology, green jobs, resourcing etc.) for achieving sustainable rural development.