Investing in Regenerative Agriculture and Food

Feb 04 2025 59 mins 11

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A conversation with Paul Clarke, technologist, innovator, inventor about technology and innovative tools from various domains, including modelling, digital twins, digital shadows, robots, and other smart hardware solutions that are crucial for the regenerative transition—tools we’ve barely begun to consider, let alone adopt.

We often hear about AI, machine learning, and large language models, but these represent only a fraction of what is currently available. Paul argues that the challenges we face are so immense that we cannot afford to ignore the potential of these technologies. They are essential for building better farms, advancing farm technologies, creating smarter robots and hardware, developing improved food systems, optimising food warehouses, and so much more.

More about this episode on https://investinginregenerativeagriculture.com/paul-clarke.

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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In Investing in Regenerative Agriculture and Food podcast show we talk to the pioneers in the regenerative food and agriculture space to learn more on how to put our money to work to regenerate soil, people, local communities and ecosystems while making an appropriate and fair return. Hosted by Koen van Seijen.

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