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.
The United Nations predicts that we need to increase food production globally by 70 percent to feed 9.6 billion people by 2050. But at the same time, given the climate crisis, we need to significantly reduce the use of energy, water, and land needed to produce food and lower its carbon footprint. In other words, we must figure out how to produce and distribute more food using fewer resources and emissions. We must learn to do farming better with less.
Les politiques d'innovation sont en plein essor dans de nombreux pays du Sud. L'innovation est considérée comme un moyen de concevoir des solutions viables et adaptées aux défis économiques, environnementaux et sociaux de chaque pays. De par la nature incertaine et risquée de l’innovation, une politique adaptée est nécessaire pour la promouvoir.
Le diagnostic orienté-action du système national d’innovation agricole au Burkina Faso a été conduit conjointement par la FAO et le Ministère en charge de l’agriculture dans le but d’éclairer l’action politique à court terme tout en proposant un cadre stratégique global et de long terme pour renforcer les capacités des acteurs du système national d'innovation agricole.
Water is scarce and pivotal for the Sahel, not only for increasing the productivity for millions of small-scale farmers but also for countering loss of arable land resulting from erosion and warming temperatures. A major barrier to the use of water in the Sahel is the lack of infrastructure and technologies – 45 percent of the population do not have access to water, and only 2 percent of arable land is irrigated (OECD, 2022).
This collection of posters from the TAP-AIS project illustrates key achievements of the project towards strengthening national agricultural innovation systems (AIS) in Africa (Burkina Faso, Eritrea, Malawi, Rwanda, Senegal), Latin America (Colombia), Asia and the Pacific (Cambodia, Lao PDR, Pakistan). For each of these nine countries, and for their respective regions, the posters provide: i) thematic focus and context; ii) constraints in the AIS; iii) capacity development interventions; iv) outcomes; v) the way forward.
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.
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.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.