The objective of this case study is to understand the application of ICT technologies for rural groundwater management in China, and it’s impacts on the rural poor. This will help understand the physical and policy context this technology is being applied and expanded, its impact on resource management, and changes in water delivery service to farmers. These understanding will help improve this technology and provide data and information for its replication in other parts of Asia. It will also h elp understand the capabilities of the ICT within the water sector applications.
The spatial and temporal variability of soil properties (fluid composition, structure, and water content) and hydrogeological properties employed for sustainable precision agriculture can be obtained from geoelectrical resistivity methods. For sustainable precision agricultural practices, site-specific information is paramount, especially during the planting season.
The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used.
Accurate and timely crop mapping is crucial for environment assessment, food security and agricultural production. However, for the areas with high landscape heterogeneity and frequent cloudy and rainy weather, the insufficient high-quality satellite images limit the accuracy of crop classification. The recently launched Chinese GF-6 wide field-of-view camera (WFV) with a revisit cycle of 4-day and spatial resolution of 16-meter shows great potential for agricultural monitoring.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
Digitalization and internet use are transforming every aspect of our lives. Digital technologies are profoundly changing how we grow food, pack it, transport it and even shop for food. Digitalization and use of digital data, applications, and platforms are opening new possibilities for developing and restructuring the agrifood system. Digital agriculture is turning to digitalizing agrifood, rural economy, and rural societies. This report introduces the FAO Digital Village Initiative, which aims to facilitate through knowledge and information.
The International Fund for Agricultural Development (IFAD) financed the second Cordillera Highland Agricultural Resource Management Project (CHARMP2), in areas where poverty is most severe among indigenous peoples in the highlands of the Cordillera Region in northern Philippines. The aim is to reduce poverty and improve the livelihoods of indigenous peoples living in farming communities in the mountainous project area. The indigenous peoples consist of many tribes whose main economic activity is agriculture.
The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
The Unites States Agency for International Development (USAID) Feed the Future De-veloping Local Extension Capacity (DLEC) project conducted a three-country study on youth and EAS in Rwanda, Niger and Gua-temala. These case studies provided a land-scape analysis to inform actions to strengthen the inclusion of youth in EAS to improve their livelihoods and increase the effective-ness of EAS systems.