In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.
This work has largely focused on the developed world, yet the majority of people and future economic growth lies in the developing world. Further, most research examines micro data on consumers or firms, limiting what is known regarding the role of macro factors on diffusion, such as social systems. Addressing these limitations, this research provides the first high-level insights into how green building adoption is occurring in developing countries.
In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.
This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of telephone interviews, household survey and focus group discussions covering six states in India. Was used mixed method approach that utilized both quantitative and qualitative data collection methods.
This study, evaluates the intervening influence of extension services on livelihood impacts of drought tolerant maize adoption and the potential mechanisms through which extension can enhance or reduce impact of drought tolerant maize using cross-sectional household level data from smallholder maize producers in Zimbabwe. Specifically, we examine whether access to agriculture extension services influences the relationship between livelihood outcomes and the adoption of drought-tolerant maize varieties in selected districts in the country
Dairy extension specialists must adapt to meet the challenges of a dairy industry that is increasingly adopting technology to assist with daily management activities as well as to make long-term decisions. Specialists typically work with youth programs to provide educational opportunities for young people that will attract new people into the dairy industry.
This study aims to contribute to literature on climate smart agriculture (CSA) scaling by identifying institutional and policy strategies that can help effect scaling of CSA practices in developing regions particularly SSA region. Increased adoption rates are more likely to enhance the overall impact of CSA innovations on productivity, food security, livelihoods and overall sustainability of agriculture. Furthermore, the study seeks to highlight and suggest possible approaches/strategies that the research and development community can adopt in taking CSA to scale.
In this paper is presented a novel approach for technology innovation and dissemination to achieve sustainable intensification in the fields of smallholder farmers. The Science and Technology Backyard (STB) is a hub in a rural area that links knowledge with practices to promote technology innovation and exchange.
In this paper, is introduced an integrated supply chain planning tool for fresh vegetables that takes into consideration the characteristics and resources of three specific states in Mexico, to make recommendations in terms of the crops to be planted, the timing of planting and harvesting, and what markets to target such that the farmers’ profits are maximized. Also relevant is the selection of the appropriate agriculture technology level (e.g. open field, shade structures, or greenhouse) within each region analyzed.
The innovations of this paper lie in the establishment of a multi-product supply chain model composing of a farmer cooperative and a supermarket in which the farmer cooperative supply multiple types of agricultural products to the supermarkets rather than single type of agricultural product. The study started by studying the optimal decision-making behavior of the members of the supply chain in non-coordinated modequantitatively. Then, was applied the revenue-sharing contract to coordinate the mode.