288 Alfred Grand – Why an Austrian farmer and researcher trained by earthworms is very excited about AI

Investing in Regenerative Agriculture and Food

A conversation with Alfred Grand, farmer at Grand Farm, an organic farm with a high proportion of research, about vermicompost and seed inoculation, but also what policymakers should know about farming. Plus, the role of technology in the regenerative transition and why Alfred is so excited about AI and robotics.
Have you ever witnessed a complete transformation that strikes at the very heart of our connection to the earth? Alfred's path from bike mechanic to pioneering farmer at Grand Farm is one such tale, rich with insights on the symbiosis of technology and tradition in the quest for a sustainable future.
In today's conversation, we navigate the complexities of regenerative farming, challenging the dated notion of soil as a mere nutrient sponge. Alfred, with wisdom gleaned from hands-on experience and research, speaks on the necessity for a paradigm shift in agricultural education and policy. His passion for sustainable practices extends beyond the farm, shedding light on the profound implications these methods have on climate resilience, societal well-being, and our global sustainability goals.
Alfred shares his enthusiasm for the synergy of AI and robotics with timeless farming techniques. We explore how these advances could elevate the intuition and efficiency of market gardening, changing the landscape of agriculture.
This podcast is part of the AI 4 Soil Health project which aims to help farmers and policy makers by providing new tools powered by AI to monitor and predict soil health across Europe. For more information visit ai4soilhealth.eu.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

This work has received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant numbers 10053484, 1005216, 1006329].

This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI).

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