Shaping the Deep-Tech Revolution in Agriculture
Global Agriculture today stands at a defining crossroad. Climate change, resource degradation, shifting demographics and geopolitical instability are converging to put unprecedented strain on the world’s ability to feed a growing population. Conventional methods, while essential, are no longer sufficient to meet the scale and urgency of these challenges.
Global Agriculture today stands at a defining crossroad. Climate change, resource degradation, shifting demographics and geopolitical instability are converging to put unprecedented strain on the world’s ability to feed a growing population. Conventional methods, while essential, are no longer sufficient to meet the scale and urgency of these challenges.
Developed by the World Economic Forum’s Artificial Intelligence for Agriculture Innovation (AI4AI) initiative, this report explores how frontier technologies spanning artificial intelligence, robotics, edge IoT, nanotechnology and satellite-enabled remote sensing can unlock transformative solutions for the future of global agriculture.
The report further highlights breakthrough use cases and practical pathways to build ecosystems where these use cases can create impact at scale. It outlines deep-tech domains that are transformational, their convergences and the resultant applicability for agriculture, and examines how collective action across governments, industry and research can support agri deep tech to future-proof global agriculture.