The creation of Competitive Research Grants (CRGs) is globally recognized as an institutional innovation for improving the effectiveness of agricultural research. Unlike block grants for research, CRGs are expected to bring in many top-quality proposals from a wide range of actors, selecting the best out of them and thus getting more value for money.
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.
In India, Farmer Producer Organizations (FPOs) are considered as the most preferred institutional mechanism for enhancing productivity and income of farmers. This is based on the resounding success of a few farmer collectives that have aggregated their produce to realise better incomes. However, when efforts were made to scale up this interesting model across the country, several challenges emerged.
Mission-oriented agricultural innovation systems (MAIS) are becoming more prevalent in view of tackling the challenges of agri-food systems transformation. In this perspective, we argue that the politics of MAIS requires more comprehensive and considerable attention in the field, given the contested and deeply normative nature of the direction of innovations in agri-food systems transformation. Literature from development studies, policy sciences, and transition studies is reviewed to inform the perspective.
La innovación se implementa en un entorno de objetivos de desarrollo productivo a través de un sistema que incluye incentivos, tecnología y redes público-privadas. El objetivo principal de este estudio es analizar la innovación en los agronegocios de El Oro y determinar cómo incide en la competitividad del sector agropecuario. La metodología utilizada en este estudio es descriptiva y documental, con carácter científico, además está enmarcada bajo el enfoque cuantitativo.
In the face of the climate emergency, around 140 countries, which emit close to 90% of the global greenhouse gas emissions, are planning to reduce their emissions to as close to zero as possible (known as net zero) in the upcoming decades. Around a third of these are low- and middle-income countries (LMICs), the countries most affected by climate change. So how can countries in the Global South achieve a socially-just transition? One key element is innovation, and potentially mission-oriented innovation.
This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
Droughts are causing severe damages to tropical countries worldwide. Although water abundant, their resilience to water shortages during dry periods is often low. As there is little knowledge about tropical drought characteristics, reliable methodologies to evaluate drought risk in data scarce tropical regions are needed.
Digitization in agriculture is rapidly advancing further on. New technologies and solutions were developed and get invented which ease farmers’ daily life, help them and their partners to gain knowledge about farming processes and environmental interrelations. This knowledge leads to better decisions and contributes to increased farm productivity, resource efficiency, and environmental health. Along with numerous advantages, some negative aspects and dependencies risk seamless workflow of agricultural production.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.