AgriFoodTech start-ups are coming to be seen as relevant players in the debate around and reality of the transformation of food systems, especially in view of emerging or already-established novel technologies (such as Artificial Intelligence, Sensors, Precision Fermentation, Robotics, Nanotechnologies, Genomics) that constitute Agriculture 4.0 and Food 4.0. However, so far, there have only been limited studies of this phenomena, which are scattered across disciplines, with no comprehensive overview of the state of the art and outlook for future research.
The challenges faced by agricultural innovation systems (A.I.S.) are complex to solve, however, the authors consider that understanding the processes of innovation and development (R&D), sustainability, use of information and communication technologies, training, and outreach, as the focus of discussion in this review, have great potential to close the gaps in the system; as well as exploring strategies, projects and best practices that dynamize the operation of the system. The objective of this article is to review the literature on A.I.S.A.
La Gestión de Tecnología e Innovación (GTI) juega un papel crucial en el avance del sector agropecuario de una nación, ya que promueve el mejoramiento de la productividad y competitividad en todas las regiones, consolidándose como una herramienta fundamental en su desarrollo. El propósito central de este estudio es proponer una nueva perspectiva en la gestión de la tecnología y la innovación para las Unidades de Producción Agropecuaria (UPA) de la provincia de Cotopaxi, presentando así una alternativa innovadora que busca resolver los retos existentes y futuros en esta materia.
For most development organisations and funders, innovation remains a sprawling collection of activities, often energetic, but largely uncoordinated. To a dregree, this has also been the case for Iceland's development co-operation. Iceland, a comparatively small but energetic player in the international development co-operation system, provided the equivalent of 0.28% (roughly 67 million Euro) of it 2021 gross national income towards Official Development Assistance.
Technology and innovation are important in addressing complex problems in the agricultural sector in many developing communities. However, ways and mechanisms to integrate them in the agricultural sector are still a challenge due to the lack of clear pathways and trajectories. Value chains are seen as a strong policy instrument to increase profitability in the agricultural sector; there is also debate around whether value chains can be a potential option to organize technology and innovation trajectories in agriculture.
A central concern about achieving global food security is reconfiguring agri-food systems towards sustainability. However, historically-informed trajectories of agri-food system development remain resistant to a change in direction. Through a systematic literature review, the authors identify three research domains exploring this phenomenon and six explanations of resistance: embedded nature of technologies, misaligned institutional settings, individual attitudes, political economy factors, infrastructural rigidities, research and innovation priorities.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
The future of inclusive forestry in Nepal depends on forestry professionals who can recognise patriarchal roots of gender injustice as they operate in the ideologies and apparatus of forest governance, and who can resist those injustices through their work. This paper uses the notion of knowledge practices to explore the recognition of injustice amongst Nepal’s community forestry professionals, and the relationship between recognition and resistance, highlighting the inherently political nature of all knowledge practices.
This paper reviews the empirical literature on the determinants of farmer adoption of sustainable intensification technologies in maize agri-food systems of the Global South. The attributes of the technology and the dissemination institutions interact with farm/farmer-specific variables, leading to heterogeneous impacts, making the prediction of technology adoption challenging.
We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.