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Hello everyone and welcome back to The Deep Seed.

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In today's Rewind episode I have selected a passage from my conversation with

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Swiss regenerative farmer Peter Thrölich.

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Peter challenges a common problem in regenerative agriculture.

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We spend too much time arguing about which practices and which tools are regenerative or not.

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But what actually matters is not so much how you farm,

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which tools and practices you use,

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but...

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What are the results?

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What are the outcomes generated by farming?

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Before we listen to Peter talk about this,

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here are a few reasons why I think that this mindset shift and the way we view farming and food production matters.

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First of all,

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flexibility.

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Every farm is different and operates in a completely different context.

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And therefore,

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the methods and tools used to achieve certain outcomes

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for a particular farm might not apply to another farm.

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So allowing farmers to choose the methods and tools that are most adapted to their context to achieve the best possible outcomes seems like a smarter idea,

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right?

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Another huge benefit I'm seeing here is that it allows us to move past the ideological debates about farming,

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about what tools and practices are better or worse,

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about what?

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label,

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whether that's organic,

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regenerative,

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agroecological,

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conventional,

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biodynamic,

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and so on.

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We don't really care about this anymore.

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You know,

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anyone's free to choose what they prefer,

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what they like the most,

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or what works the best for them.

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Every farm is being analyzed,

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measured,

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and judged,

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not based on an ideology of what farming should be,

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but based on a universal set of outcomes that everyone

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can agree on.

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The third and final huge advantage I'm seeing here is the credibility it adds to the whole regenerative movement.

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Because right now there's not one clear definition of what regenerative agriculture is.

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And if we define regenerative agriculture by its tools,

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by its practices,

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like reduced tillage,

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reduced chemicals and increased soil cover,

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for example,

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well,

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a big ag food company could potentially take

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every single one of these boxes and therefore call themselves regenerative despite still operating within a very much linear extractive conventional system.

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But if what we decide to look at is a set of outcomes that are easily measurable,

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verifiable,

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transparent,

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then there's no way to cheat.

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Either you are regenerating or you're not.

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Okay,

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so this was a very long intro,

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I'm sorry about that,

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to sort of clarify the reasons why.

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I personally think that looking at outcomes is the way forward for regenerative agriculture.

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But we'll hear it now from

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Peter himself,

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who will explain this much better than I did,

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but who will also go into much more depth,

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more detail about which outcomes should we look at,

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how do we measure them,

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and why.

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This episode was made in partnership with Soil Capital.

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I am your host,

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Raphael,

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and this is the Deep Seed Podcast.

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If there's one key message you'd like people to hear today,

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what would it be?

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I would say it is that we as a society cannot fail on implementing regenerative agriculture because that's our ecological income,

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I feel.

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So it's really something that matters enormously.

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And it's not only about the food,

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it's also about our environment.

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You know,

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I feel that we're currently,

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when it comes to climate and biodiversity,

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more looking at what we...

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lose and what our cost items are and not so much on the revenue and i'm sure that region ag is able to manage this in a way it has to be so we should start to swap from just looking at cost into what's our revenue and also drive that one you're

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talking about ecological income and revenue here.

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Could you expand on that?

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Yeah,

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so if you look at the state of our planet,

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or let's...

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call it differently.

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The biomass productivity of our earth is pretty much linked to our cost items.

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So if you see what we're using at a society,

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it's actually everything biomass based.

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So when you say using,

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you mean everything we consume,

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products,

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energy,

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everything.

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And let's,

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for example,

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look

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into concrete,

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you could say,

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okay,

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stones.

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But no,

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because when you sit in front of that rock,

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how do you actually work it?

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You need biomass,

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you need something to heat it.

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That's either oil,

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gas,

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coal,

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wood,

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and so on.

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And that's all biomass.

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So people don't actually make the link of oil,

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gas,

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coal,

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plastics,

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petrochemicals,

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medication,

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wood,

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any fiber that you could think of textile.

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food that this is all biomass based.

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And even at concrete and iron,

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you couldn't work without biomass.

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So pretty much all we use is biomass based.

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And in history of earth,

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compared to the peaks in biomass productivity,

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we have reached a level of less than 50%,

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constantly declining.

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And when that's what we use,

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then that's our ecological income.

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Okay,

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so the amount

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Let's say each year that the earth is producing biomass and how much we actually use.

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Yeah.

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If that's in balance,

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we're fine.

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Yeah.

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Then there's no excess climate emissions because you produce as much as you use,

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which puts it back in balance.

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Right now,

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farmers are just looking at the biomass productivity of the sellable yield,

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not of the entire plant productivity.

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And the slash in biomass productivity we have seen.

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is mainly related to deforestation.

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And even when you look at latest climate calculations,

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that's still a large chunk land use change and deforestation obviously.

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And what we actually want to do is to create the awareness of the farmers that there's more than just a sellable yield.

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That you really should grow plants on every meter square on your farm every day to maximize its productivity.

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And that's what RegenEgg can do.

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Okay,

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so it's not just about producing the sellable crop.

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It's about producing biomass in every possible form.

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Yeah,

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and I would even call that ecosystem services.

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I see it on my farm when I look back.

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So with the biomass increase,

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with the more plant growth,

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you have also the biodiversity,

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the soil,

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everything coming back.

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So it's positively linked.

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So in many cases,

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we see extensification as a solution.

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And my personal belief is that that's a mistake.

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We need to have intense productivity on the fields,

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but we need to focus on the entire thing and then the ecosystem to have the positive effects more than the negative ones.

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And we can do that.

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So I can clearly demonstrate on my farm that with region ag approaches,

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this is possible.

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But it's more complex than just doing a bit of no-till or doing a bit of cover crops.

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When it comes to outcomes,

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you need to define what they are.

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And there's physics.

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But then there's also finding an agreement amongst the stakeholders that are having to drive this.

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What we identified is the stakeholders to drive this are the farmers,

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but it's also the industry.

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And then even more,

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it's all the NGOs that are there and trying to make a living out of it by sometimes objecting or at least checking that things are working well.

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And then obviously it's always also the internal view of whatever company is,

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that's the employees.

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So what we're trying to do is create

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AgriPurpose, which is a purpose venture.

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So what it does is it splits the capital rights from the voting rights.

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So the voting rights you would have in a general assembly,

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the ones that decide what happens on a company.

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And we try to unite in this those four key stakeholder groups to then define with them.

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which outcomes should be actually monitored and to find a way to define them,

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but to measure and validate them and to improve them.

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And I think something neutral like this,

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and we're looking there into just four buckets.

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So we look at biomass productivity overall,

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we look at soil cover overall,

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we look at soil health,

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and that includes for us the soil organic carbon.

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So it's the bulk density plus the SOC percentages

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but also pH and macronutrients,

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because long-term sequestration only happens when those are in balance too.

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And then last is the efficiency.

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So what's the yields you have produced?

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And there we only look into sellable yields.

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Meaning,

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if you produce corn on your fields that you use to feed your cows,

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We don't count it in because that's not something you sell.

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So sellable yields,

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that can be any crop.

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It can be milk,

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wool,

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meat whatsoever,

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eggs.

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And then the inputs you have used for that.

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And we just look at six items.

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So it's fuel,

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it's energy,

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it's nutrients used.

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So that can be fodder purchased or sold,

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mineral fertilizer purchased or sold.

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or actually organics brought to the farm or taken from the farm.

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Always just what matters to us is the nutrients inside.

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Water,

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the crop protection use.

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We look at money because the stuff is value priced.

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So it's actually if you use less money,

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you have used less.

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It's harder to do it with any other stuff.

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And then it's the animal load because if it's too low,

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it starts to harm soils.

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And if it's too high,

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it starts to create excess emissions.

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And that's pretty much it.

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So we try to validate on this one.

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Okay,

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so sorry,

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because there's so much information here.

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I want to make sure that everyone stays on board,

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including myself.

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Okay.

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I'd like to think that

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I'm in a good position to do these interviews,

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not because I am knowledgeable about these topics,

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but because I'm not.

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And so I can ask the silly questions and make sure that everyone stays on board with me.

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So you're trying to define the outcomes.

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that we could build an outcome-based system on.

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And here you were just citing all of the different metrics or the different things that you look at to define outcomes.

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And so let's go through them again really quickly.

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So first you talked about net primary productivity.

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Yeah,

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it's the biomass productivity.

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It's linked.

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It's not exactly the primary productivity.

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It's linked to the net primary productivity.

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And what we know is that one is linked a lot to soil health.

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So actually,

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the more net primary productivity you have,

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the more soil organic carbon you have,

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the healthier your soil.

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And then you have this positive feedback loop finally.

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So the intention is first maximize net primary productivity,

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then protect this.

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So the protect is the soil cover.

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Because what you should try to avoid is that your soil overheats more than 40 degrees.

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For that,

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it needs to be covered,

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never any dark part of the soil being exposed to the sun.

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00:12:29.967 --> 00:12:34.791
Then it actually should not be exposed to water and wind erosion.

270
00:12:35.713 --> 00:12:36.572
And that's the cover.

271
00:12:36.853 --> 00:12:39.533
So the more time of the year it's covered,

272
00:12:39.643 --> 00:12:40.033
the better.

273
00:12:40.236 --> 00:12:42.814
And it doesn't count when you have planted something.

274
00:12:42.815 --> 00:12:50.299
The thing is when is actually there some green growing or some structures remaining from plants that you can see with satellite.

275
00:12:51.643 --> 00:12:53.455
So these are the first two that we checked.

276
00:12:53.961 --> 00:12:55.141
So again,

277
00:12:57.706 --> 00:12:58.124
biomass,

278
00:12:58.186 --> 00:13:00.307
which is linked to net primary productivity.

279
00:13:00.667 --> 00:13:01.307
And soil cover.

280
00:13:01.549 --> 00:13:02.190
And soil cover.

281
00:13:02.667 --> 00:13:04.292
And that gives you an indicator,

282
00:13:04.354 --> 00:13:05.651
you get certain results.

283
00:13:05.956 --> 00:13:06.612
Yes.

284
00:13:06.776 --> 00:13:11.940
So how we do it is we compare those values that the farm achieves with the neighborhood.

285
00:13:12.862 --> 00:13:14.456
So we do that automatically.

286
00:13:15.003 --> 00:13:15.487
Automatically?

287
00:13:15.643 --> 00:13:15.784
Yeah.

288
00:13:15.956 --> 00:13:17.987
And then anywhere on the planet.

289
00:13:18.706 --> 00:13:19.799
With satellite data?

290
00:13:20.049 --> 00:13:20.159
Yeah.

291
00:13:20.736 --> 00:13:24.281
And that's the cool bit is when you compare the farm with its surroundings,

292
00:13:24.519 --> 00:13:26.523
it's actually always context specific.

293
00:13:26.542 --> 00:13:29.386
So there the context specific comes into the outcome based.

294
00:13:30.503 --> 00:13:35.691
And then it's the continuous improvement because we want those numbers to be improving against the region.

295
00:13:36.613 --> 00:13:39.167
And think of it like algebra,

296
00:13:39.230 --> 00:13:43.683
like a formula kind of thing.

297
00:13:43.839 --> 00:13:46.605
And when you have things on both sides of the equation,

298
00:13:47.198 --> 00:13:49.198
they usually are.

299
00:13:50.152 --> 00:13:51.373
You can just take them apart,

300
00:13:51.873 --> 00:13:52.354
take them away.

301
00:13:52.434 --> 00:13:54.618
So weather and stuff is all the same.

302
00:13:54.619 --> 00:14:00.164
So many things are kind of same farm to the region.

303
00:14:00.805 --> 00:14:03.422
So you're actually kind of unraveling the fog through this.

304
00:14:04.149 --> 00:14:09.914
And what we're then doing is we're always asking the farmer when he's underperforming or overperforming against the region,

305
00:14:10.727 --> 00:14:11.289
what he did.

306
00:14:12.086 --> 00:14:13.883
And the cool bit is with satellite data,

307
00:14:13.930 --> 00:14:15.399
you can look backwards seven,

308
00:14:15.493 --> 00:14:16.680
eight years now.

309
00:14:18.036 --> 00:14:20.119
Meaning we can learn from the last seven,

310
00:14:20.197 --> 00:14:21.359
eight years what he did.

311
00:14:22.420 --> 00:14:24.623
And then what went well and what didn't.

312
00:14:25.143 --> 00:14:30.025
And then you get the right focus to start where you need to start first to improve,

313
00:14:30.627 --> 00:14:32.908
to actually maximize the outcomes.

314
00:14:33.908 --> 00:14:34.025
Yes.

315
00:14:34.057 --> 00:14:35.369
So it's not only a measure,

316
00:14:35.400 --> 00:14:39.291
it's also a very nice toolkit to focus and optimize.

317
00:14:39.822 --> 00:14:39.963
Yeah.

318
00:14:41.025 --> 00:14:42.697
And then we go and measure the soil carbon.

319
00:14:43.322 --> 00:14:43.838
Soil carbon.

320
00:14:43.853 --> 00:14:45.088
So that's soil sampling.

321
00:14:46.260 --> 00:14:47.010
So how does that work?

322
00:14:48.008 --> 00:14:48.949
So with the satellite,

323
00:14:48.970 --> 00:14:53.555
we look at the variation of your soil over the last seven years.

324
00:14:54.716 --> 00:14:57.438
And then through this,

325
00:14:57.774 --> 00:14:59.962
we go and sample at the right places.

326
00:15:01.402 --> 00:15:04.825
Most do today that it's optimized for just soil carbon,

327
00:15:05.126 --> 00:15:10.173
but we know it's more so pH is as important for long-term sequestration as macronutrients.

328
00:15:10.189 --> 00:15:11.572
So we want it to be balanced.

329
00:15:12.673 --> 00:15:17.611
So we sample where there's most differences and then that goes to the lab.

330
00:15:17.720 --> 00:15:19.517
You get the result and with an AI,

331
00:15:19.564 --> 00:15:21.923
we can then distribute it at 10 by 10 meter.

332
00:15:22.517 --> 00:15:22.720
Okay.

333
00:15:22.829 --> 00:15:26.126
Is that something easy to do for farmers to take those samples and to...

334
00:15:26.392 --> 00:15:26.673
Well,

335
00:15:26.704 --> 00:15:27.126
I don't know.

336
00:15:27.512 --> 00:15:27.732
Yeah,

337
00:15:27.853 --> 00:15:27.973
no.

338
00:15:29.274 --> 00:15:29.394
No,

339
00:15:29.755 --> 00:15:31.276
we don't want farmers to take it.

340
00:15:32.276 --> 00:15:37.761
The reason being is we have seen that there is the potential to trick the system.

341
00:15:38.761 --> 00:15:43.886
So we don't want them to know exactly where the sampling happens for a good reason.

342
00:15:44.683 --> 00:15:48.698
So it should be external providers doing that because it's finally,

343
00:15:48.886 --> 00:15:51.183
hopefully related to money.

344
00:15:51.980 --> 00:15:53.964
And then you need to have some safeguards in place.

345
00:15:54.261 --> 00:15:54.464
Okay.

346
00:15:55.724 --> 00:15:57.105
We have a sampler doing that.

347
00:15:57.165 --> 00:15:59.548
It goes to the lab with the result and an AI.

348
00:15:59.568 --> 00:16:01.289
You get the high resolution soil data.

349
00:16:02.089 --> 00:16:06.574
Usually see that this can help with fertilization or as I do it,

350
00:16:06.652 --> 00:16:10.597
an optimization of the cover crops.

351
00:16:10.980 --> 00:16:12.097
So I make an example.

352
00:16:12.207 --> 00:16:15.425
When I see that I lack somewhere in phosphorus,

353
00:16:16.785 --> 00:16:17.660
usually there's enough.

354
00:16:17.722 --> 00:16:19.066
It's just no plant available.

355
00:16:19.363 --> 00:16:23.566
So what I do is I focus with the cover crops on buckwheat because that...

356
00:16:23.780 --> 00:16:43.461
kind of freeze up phosphorus we know that so i put in the mix additional buckwheat when i know it's a problem there or when it's potassium i put ceradella so it's like the same just just for the other nutrients so you can either do precision farming with all the technology or you use nature to then balance the field and

357
00:16:43.462 --> 00:16:52.321
you need to see and know that even on small fields like mine like two hectares because there's sometimes huge differences and then when you have the average

358
00:16:53.652 --> 00:16:56.856
It's like having one arm in cold and one arm in hot water.

359
00:16:57.016 --> 00:16:58.919
You're just doing the wrong thing everywhere.

360
00:16:59.239 --> 00:17:02.618
So we're trying to actually get this at rest.

361
00:17:02.704 --> 00:17:03.423
That's what it does.

362
00:17:03.485 --> 00:17:08.384
So we see that farmers are moving quicker and it saves them about 100 euros per hectare per year.

363
00:17:08.470 --> 00:17:09.227
So it's a lot of money.

364
00:17:09.368 --> 00:17:10.032
It's a lot of money,

365
00:17:10.063 --> 00:17:10.735
yeah.

366
00:17:10.891 --> 00:17:15.048
But so you need a lot of different samples to be able for the model to get the highest results?

367
00:17:15.454 --> 00:17:15.595
Yeah,

368
00:17:15.626 --> 00:17:16.516
we need three per,

369
00:17:17.829 --> 00:17:18.376
as a minimum.

370
00:17:18.735 --> 00:17:19.704
So small fields,

371
00:17:19.751 --> 00:17:20.298
that's more,

372
00:17:20.376 --> 00:17:21.938
but we only go for the

373
00:17:22.152 --> 00:17:39.715
one third of the fields because with the first step we identify which soils are the least performing and then usually you also there have the right focus so you start implementing where you have to do it first so the satellite data tells you where uh

374
00:17:39.716 --> 00:17:50.699
you have the biggest problems which are the biggest problems in the in kind of which fields yeah and there i do the most intense sampling so again it's the focus for the optimization yeah and then

375
00:17:51.508 --> 00:17:51.648
Yeah,

376
00:17:51.649 --> 00:17:56.087
the last bit is when you're maximizing net primary productivity,

377
00:17:56.829 --> 00:17:58.310
protect what you have produced,

378
00:17:58.650 --> 00:17:59.833
improve the soil health,

379
00:18:00.286 --> 00:18:02.591
then it's actually how efficiently have you achieved this.

380
00:18:03.607 --> 00:18:05.169
And there we look into the yields,

381
00:18:06.169 --> 00:18:07.435
but only the soil yields,

382
00:18:07.497 --> 00:18:12.591
because that's a better link to what are the calories you have produced for human consumption.

383
00:18:13.091 --> 00:18:15.888
It's not perfect because you still can combine,

384
00:18:15.935 --> 00:18:16.419
let's say,

385
00:18:17.216 --> 00:18:18.450
corn or soy,

386
00:18:18.857 --> 00:18:19.857
and it goes into fodder.

387
00:18:21.772 --> 00:18:26.895
But it reduces already all the intra-farm kind of processes.

388
00:18:26.938 --> 00:18:31.880
So let's say you do corn silage and then you feed it to the cows.

389
00:18:32.544 --> 00:18:32.786
Again,

390
00:18:32.801 --> 00:18:33.903
we do not care about this.

391
00:18:33.926 --> 00:18:35.403
We only care then about the milk,

392
00:18:35.606 --> 00:18:36.005
the meat,

393
00:18:36.106 --> 00:18:37.325
the animals you have produced.

394
00:18:37.606 --> 00:18:37.833
Yes.

395
00:18:38.723 --> 00:18:43.614
And I think that's a better link to what's the efficiency in terms of human food production.

396
00:18:44.755 --> 00:18:50.536
And then we just check what have been the inputs that came from somewhere else to achieve all this.

397
00:18:51.433 --> 00:18:52.714
And that we want to minimize.

398
00:18:53.294 --> 00:18:54.796
So we want to maximize all the rest,

399
00:18:54.855 --> 00:18:57.378
maximize the yield and minimize the inputs.

400
00:18:59.117 --> 00:19:03.601
In our scheme is as long as you are actually improving on those four items,

401
00:19:04.343 --> 00:19:05.046
you're in the scheme.

402
00:19:06.109 --> 00:19:07.968
You can have one year down performance.

403
00:19:09.546 --> 00:19:09.828
Okay,

404
00:19:09.968 --> 00:19:11.187
because that can always happen.

405
00:19:11.359 --> 00:19:13.249
One step back to take two steps ahead.

406
00:19:14.171 --> 00:19:15.078
If you have two years,

407
00:19:15.109 --> 00:19:20.015
you need to book a consulting and establish an action plan on your farm to stay in the scheme.

408
00:19:20.212 --> 00:19:23.116
That's kind of how we were going to do it as AgriPurpose.

409
00:19:31.885 --> 00:19:33.784
Thank you so much for listening to this episode.

410
00:19:34.050 --> 00:19:35.143
I hope you enjoyed it.

411
00:19:35.807 --> 00:19:38.237
If you'd like to support me and my work,

412
00:19:38.737 --> 00:19:45.175
you can actually do that in just three seconds by clicking on the Deep Seed page and clicking on the follow or subscribe button.

413
00:19:45.815 --> 00:19:46.362
It really,

414
00:19:46.425 --> 00:19:47.018
really helps.

415
00:19:47.034 --> 00:19:49.737
It tells the algorithms that people like yourselves.

416
00:19:49.884 --> 00:19:58.996
are interested in these kind of contents and it will bring it to the ears and the eyes of more people so that the whole regenerative movement can grow and we can,

417
00:19:59.332 --> 00:19:59.574
you know,

418
00:19:59.652 --> 00:20:01.152
achieve something beautiful together,

419
00:20:01.433 --> 00:20:01.840
hopefully.

420
00:20:01.996 --> 00:20:03.762
So thank you so much in advance.

421
00:20:03.980 --> 00:20:05.402
Have a great rest of your day,

422
00:20:05.722 --> 00:20:06.574
a beautiful life.

423
00:20:06.887 --> 00:20:07.277
See you soon.

