We live in a complex world facing uncertainties, crises-including conflict and extreme weather- and a global economic slowdown. These challenges highlight the importance of understanding the agricultural sector's...
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Digital Europa Thesaurus
Highlights: AI Challenges: Data quality, privacy issues, biases, and system integration limit AI in spoilage prediction. Proposed Solutions: Data standardization, bias reduction...
In four case studies on biopharmaceuticals, bio-based surfactants, meat alternatives, and AI in regenerative agriculture, qualitative and quantitative impacts are assessed for Germany by exploiting different methodological...
The FUTURINNOV project supports the European Innovation Council (EIC) in building strategic intelligence capacity through foresight and other anticipatory approaches. This is done through activities to identify...
Explore the Bioeconomy country dashboard.
Growing concern over food security has drawn worldwide scholarly attention. Addressing food security issues highlights the vulnerability of agricultural yield to the complexity of agriculture...
The ocean economy has long been a powerful driver of global growth, creating jobs, fuelling development, and ensuring food security for millions worldwide. If the ocean...
Highlights: AI is the next big thing happening for agricultural production. AI in agriculture for crop monitoring with sustainable use of resources and elevate the food production. Use of modern...
The publication “Leveraging Space Technology for Agricultural Development and Food Security” was produced by FAO and UNOOSA in response to the ongoing dialogue within the Committee on the Peaceful Uses of Outer...
Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh...