Short Food Supply Chains (SFSCs) are central to the alternative food movement discourse. SFSCs are based upon the interrelations among actors who are directly involved in the production, processing, distribution, and consumption of food products. They depend upon actors mobilising resources of various kinds: skills; knowledge; labour; capital; buildings etc. External factors such as policies and regulations can also encourage the creation of these shorter chains. The development of SFSCs can still be hindered by a range of other factors.
The language of co-creation has become popular with policy makers, researchers and consultants wanting to support evidence-based change. However, there is little agreement about what features a research or consultancy project must have for peers to recognise the project as co-creative, and therefore for it to contribute to the growing body of practice and theory under that heading. This means that scholars and practitioners do not have a shared basis for critical reflection, improving practice and debating ethics, legitimacy and quality.
3D Move To See (3DMTS) is a mutli-perspective visual servoing method for unstructured and occluded environments, like that encountered in robotic crop harvesting. This paper presents a deep learning method, Deep-3DMTS for creating a single-perspective approach for 3DMTS through the use of a Convolutional Neural Network (CNN). The novel method is developed and validated via simulation against the standard 3DMTS approach.
Sorghum crop is grown under tropical and temperate latitudes for several purposes including production of health promoting food from the kernel and forage and biofuels from aboveground biomass. One of the concerns of policy-makers and sorghum growers is to cost-effectively predict biomass yields early during the cropping season to improve biomass and biofuel management. The objective of this study was to investigate if Sentinel-2 satellite images could be used to predict within-season biomass sorghum yields in the Mediterranean region.
This presentation sets out a future research agenda for research on agricultural extension and advisory services, under influence of sustainability transitions and disruptive technologies such as digital agriculture technology, and synthetic foods. For a recording of the presentation see: https://www.youtube.com/watch?v=03V7zSD63pw
The interactions between bottom-up initiatives and top-down structures in the implementation of regional development policies and projects are complex in theoretical and practical terms. Using concepts such as transformative social innovation, adaptive governance, and bridging institutions, we developed an analytical framework to enhance understanding of the processes by which local top-down and bottom-up forces enhance sustainable rural development by co-developing bottom-linked governance.
Despite substantial research on the economic effects of transgenic insect-resistant Bacillus thuringiensis (Bt) cotton, there is still limited work on this technology’s impacts on human health. Due to the inbuilt insect resistance, Bt cotton requires fewer pesticide sprays than conventional cotton, which is not only advantageous from economic and environmental perspectives, but may also result in health benefits for farmers.
Dans un contexte de controverse sur la capacité des modèles agricoles à répondre conjointement aux enjeux alimentaires, environnementaux et de développement en Afrique, nous analysons les conditions de viabilité d’une agriculture à caractère biologique au Cameroun. La démarche mobilise une enquête par entretiens semi-directifs auprès des acteurs engagés dans les filières de production biologique et une mise en débat des connaissances générées lors d’ateliers participatifs multi-acteurs. Elle met en interaction les connaissances scientifiques, entrepreneuriales et techniques.
Banana and plantain are one of the most important staple food crops and a significant source of income to smallholder farmers in the East African Great Lakes Region. Banana Xanthomonas Wilt (BXW) is a devastating bacterial disease that threatens smallholder production and livelihoods. We use a systems approach to describe how gender shapes roles and practices in the household, on the farm and in innovation processes. We draw on a case study in Burundi, where single disease stem removal (SDSR) has been introduced as a labour-saving package to reduce BXW incidence.
It has long been recognized that investment is needed to build capacity in Science Technology and Innovation (STI) particularly in low and medium income (LMI) countries. Yet there is little understanding as to how to do this.