This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.
The concept of inclusive business has gained a central place in development policy and practice. that the underlying premise is that by making small scale farmers part of their business model, companies can increase their profitability and at the same time contribute to farmers’ livelihoods. Despite a wealth of positive anecdotal evidence, it remains unclear whether and how a company can do this. This paper examines how agri-business should become (more) inclusive in contributing to food security.
This paper systematically reviews the evidence on what capacities the state requires to leverage agriculture for nutrition in fragile contexts, maintaining a focus on state in South Asia (especially India). It uses the framework of what the state ought to do (in terms of pathways), can do (in relation to parts of the enabling environment it is able to deliver) and is willing to do (addressing constraints in terms of political choices).
Increasingly, multi-stakeholder processes have been recognized as being necessary to the development of public policies seeking to promote systemic innovation in response to complex and multidimensional challenges, such as household food security, rural development, and environmental change. Saint Lucia, a small island developing state located in the Caribbean, has been grappling with a wide range of agriculture, food and nutrition security challenges with varying degrees of policy success.
Though extension services have long since proved their value to agricultural production and farmer prosperity, their record in sub-Saharan Africa has been mixed. To study the impact of such programs on farmers' learning about agricultural technologies, we implemented a quasi-randomized controlled trial and collected detailed panel data among Malawian farmers. Based on those findings, we develop a two-stage learning framework, in which farmers formulate yield expectations before deciding on how much effort to invest in learning about these processes.
gricultural innovation is essential for improving the livelihoods of resource-poor farmers in developing countries such as Bangladesh. Within an Information and Communication Technology (ICT) strategy for agricultural development, social media is considered a means of networking, collaboration and co-learning, and thereby supporting innovation processes. However, it is not known how extension agents of the Department of Agricultural Extension ‒ the largest public sector organisation ‒ have been utilising social media to strengthen agricultural innovation.
Two major agricultural transformations are currently being promoted worldwide: digitalisation and ecologisation, that include different practices such as organic farming and sustainable intensification. In literature and in societal debates, these two transformations are sometimes described as antagonistic and sometimes as convergent but are rarely studied together. Using an innovation system approach, this paper discusses how diverse ecologisation pathways grasp digitalisation in the French agricultural sector; and do not discriminate against organic farming.
This article gives insights about collaboration and how this process can help agricultural innovation in Africa.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the current and future trends of UAV applications in weed detection in the crop field.