Strengthening the abilities of smallholder farmers in developing countries, particularly women farmers, to produce for both home and the market is currently a development priority. In many contexts, ownership of assets is strongly gendered, reflecting existing gender norms and limiting women’s ability to invest in more profitable livelihood strategies such as market-oriented agriculture. Yet the intersection between women’s asset endowments and their ability to participate in and benefit from agricultural interventions receives minimal attention.
The development of future food systems will depend on normative decisions taken at different levels by policymakers and stakeholders. Scenario modeling is an adequate tool for assessing the implications of such decisions, but for an enlightened debate, it is important to make explicit and transparent how such value-based decisions affect modeling results.
In this paper is presented a novel approach to elicit stakeholder visions of future desired land use, which was applied with a broad range of experts to develop cross-sectoral visions in Europe. The approach is based on (i) combination of software tools and facilitation techniques to stimulate engagement and creativity; (ii) methodical selection of stakeholders; (iii) use of land attributes to deconstruct the multifaceted sectoral visions into land-use changes that can be clustered into few cross-sectoral visions, and (iv) a rigorous iterative process.
Smallholders have begun to take advantage of a growing pool of investment in climate change mitigation. Meanwhile, early movers in this area are working to develop innovative models that will allow projects to be financially sustainable and scalable while benefiting local actors. This study focuses on two of these projects in East Africa, managed by Vi Agroforestry in Kenya and ECOTRUST in Uganda. They engaged in a participatory action research process to identify ways that local actors could take on expanded roles within the projects
In this study, it is applies a participatory scenario modelling framework to assess potential societal responses to the impacts of climate change by the mid-21st century, and model consequent land use and land cover change scenarios under different livelihood futures as guided by communities’ members in the areas under investigation. The authors focused their analysis on two montane sites of the Eastern Afromontane Biodiversity Hotspot , the Taita Hills, Kenya, and a montane area north-west of Jimma, Ethiopia
This paper introduces a practical e-learning system, identified as Knowledge Exchange E-learning System (abbr. KEES), for knowledge distribution in rural areas. Particularly, this paper is about providing a virtual teaching and learning environment for small holders in agriculture in those rural areas.
Information and Communication Technology (ICT) development strategy in Chinese rural areas is an indispensable part of national development strategies. This paper reviews the ICT framework in agriculture and rural areas launched by the Department of Agriculture in China. It compares the rural ICT policies and strategies between China and the European Union (EU). The ICT development strategy framework is analyzed based on the situation in Chinese rural area and the experiences of the EU. Some lessons and suggestions are provided
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.
China is at a critical stage of transformation from traditional to modern agriculture and its agriculture and rural economic sector faces severe challenges of shortage of natural resources, environmental degradation, agricultural disasters, sluggish income growth of farmers and widening disparity between urban and rural areas. The fundamental solution to these problems lies with the advancement of agricultural science and technology.
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.