Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
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.
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.
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.
In this article, wes developed a quantitative model to compare HT and CF supply chain finance schemes with each other and with traditional, fixed-price delivery contracts, which we identify as Soft Tolling (ST). We make this comparison in the setting of a three-echelon agricultural supply chain, where the third echelon is a large, creditworthy food/beverage manufacturer. This article proceeds as follows: the next section discusses related literature. Section 3 presents our model of an agricultural supply chain and the three specific contract variants (ST, HT, or CF) that we study.
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.
This paper used systematic literature network analysis to review the state-of-the-art blockchain technology including its recent advances, main applications in agri-food value chain and challenges from a holistic perspective. The findings suggest that blockchain technology together with advanced information and communication technology and internet of things have been adopted for the improvement of agri-food value chain management in four main aspects: traceability, information security, manufacturing and sustainable water management.
This paper provides a snapshot of the agriculture-nutrition nexus in the region, outlines the pathways through which agriculture can influence nutrition outcomes, elaborates on the objectives of the Leveraging Agriculture for Nutrition in South Asia (LANSA) research consortium within this context, and highlights the core findings of the six papers that form the body of this Special Issue. The paper ends with five key lessons that have emerged from this research, during this decade