This study explores one of the most important questions for alleviating poverty in sub-Saharan Africa, why are advancements in agricultural technology not taking root in this region? Using data from deep interviews of 42 small-scale farmers in Ghana and Cameroon, a conceptual analysis of drivers and factors of agricultural technology adoption in this region is made and represented as causal loop diagrams. Interviews also provide a basis for weighting factors that farmers consider before adopting a new technology.

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.

In the last decade, solar energy has experienced a rapid growth, which brings both environmental and economic benefits. In many countries, there is still no electricity grid extension in rural areas, and in the absence of a reliable electricity supply, farmers have to resort to diesel-based pumping irrigation systems. The solar photovoltaic (PV) system generates clean energy and eliminates the risk of environmental pollution in the form of oil spills, contaminated soil and carbon dioxide emissions.

Agrifood systems are undergoing a transformation with the aim to provide safer, more affordable, and healthier diets for all, produced in a sustainable manner while delivering just and equitable livelihoods: a key to achieving the UN’s 2030 Agenda for Sustainable Development. However, this transformation needs to be executed in the global context of major challenges facing the food and agriculture sectors, with drivers such as climate change, population growth, urbanization, and natural resources depletion compounding these challenges.

The Date Palm Innovation Platform is a collaborative work is a platform for research, technology and innovation for the integrated production system of the Date Palm. The platform has been developed by the Association of Agricultural Research Institutions in the Near East and North Africa (AARINENA) in collaboration with the Food and Agriculture Organization of the United Nations (FAO).

Since 2017, in line with COAG’s recommendation, the Research and Extension Unit engaged in the development of a participatory AIS assessment framework including a customizable toolbox for countries with a totally new capacity development perspective. The assessment framework is meant for actors of the national agricultural innovation systems, i.e.

Cotton, a major crop worldwide, is harvested in mechanized production systems once at the end of the growing season. To facilitate harvest and maximize fiber quality, the plants are typically defoliated when about 60% of the cotton bolls are open. Due to non-uniform maturation, the bolls that have opened early expose their fiber to weather until harvest, commonly for weeks, degrading fiber quality. Furthermore, high capacity harvesting machines are heavy, potentially compacting the soil that in turn reduces hydraulic conductivity in the wheel tracks and reducing yield.

Equipping agricultural extension and advisory services with nutrition knowledge, competencies and skills is essential to promote nutrition-sensitive agriculture. This report presents the results of an assessment of capacity within agricultural extension and advisory services, undertaken in Telangana State, India, with the global capacity needs assessment (GCNA) methodology developed by FAO and GFRAS. The methodology is available online at https://doi.org/10.4060/cb2069en

Multi-actors innovation platforms (MAIPs) are increasingly deployed as a model for participatory and inclusive innovation to address the challenges of sustainability in complex systems like the agri-food systems. The facilitation of co-innovation and multi-actor partnerships is critical to the success of MAIPs, as a common lesson learned across the multitude of initiatives around the world. The guideline was developed for Master Trainers to train MAIP facilitators. The guideline first gives an introduction to the definiton, principles, design, establishment and facilitation of MAIPs.