
Regenerative Agriculture Monitoring: A Farm-to-Website Walkthrough
Regenerative agriculture projects live or die on farm-level evidence. Buyers and verifiers want to know which practices were used, on which fields, and what happened to soil carbon as a result. Collecting that from hundreds of farmers, season after season, is where most projects struggle.
Our 60-second walkthrough follows a fictional project, Kalyna Valley Regen, through eleven steps on CitizenClimate, from setting up surveys to hectares and carbon updating live on the project's website.
Setting up the project
1. Create the project: name, type, communities and area.
2. Invite farmers and agronomists by QR code or invite code.
3. Add the farm surveys: crops, fertiliser, practices and GPS photos.
4. Track SDG 2, Zero Hunger, with automatic scoring.
5. Teach regenerative basics with infographic lessons and a quiz.
6. Open the forum and grievances: a voice for every farmer.
Out on the farms
7. Walk the boundary: the farmer walks the field edge, GPS points drop and the area is worked out (42.6 ha for Olena's North field in the film).
8. Log every practice: cover crops, tillage and organic fertiliser, with dates. Here, a rye and vetch cover crop sown on 12 September, no-till and compost at 8 t/ha.
9. AI checks crop health: from a photo, AI looks for signs of nitrogen deficiency, stress, pests and disease. In the film it flags nitrogen deficiency in corn.
10. Soil samples in, carbon estimated: lab results are matched to the field and carbon is estimated field by field.
11. Live on your website via API: hectares and carbon update themselves.

Practices plus soil samples: why you need both
Soil carbon changes slowly and varies a lot from one spot to the next, so measurement alone is expensive and noisy. Practice data alone is cheap but unproven. Methodologies such as Verra's VM0042 for improved agricultural land management combine the two: documented practices, modelling and periodic soil sampling. CitizenClimate keeps both in one place, tied to the same field boundary, so the link between what a farmer did and what the soil shows is clear.
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In the film, the North field's soil organic carbon moves from 3.12% to 3.21% at 0 to 30 cm. Using an illustrative rate of 0.68 t COâ‚‚e per hectare per year, the 42.6 ha field is estimated at 29.0 t COâ‚‚e a year. Across the project, the website shows 12,480 hectares under regenerative practices and around 8,486 t COâ‚‚e a year.
AI crop health as an early warning
Crop health checks aren't only about carbon. Catching nitrogen deficiency, pests or disease early protects yields, and healthy yields are what keep farmers in a project. AI flags are checked by agronomists, so the farmer gets practical advice and the project gets a documented record of crop condition through the season.
Linking carbon and food security
The film tracks SDG 2, Zero Hunger, alongside carbon, and that pairing matters. Practices that build soil carbon should also protect yields and farm incomes; if they don't, farmers drop out and the carbon goes with them. Tracking crop health, yields and household food security in the same app shows whether the programme is working for farmers as well as for the climate. If yields dip in the first season while soils adjust, the data shows it early, so agronomists can step in before farmers give up. It also gives buyers a far stronger co-benefit story than tonnes alone.
Built for farmers, not just auditors
Surveys can be filled in offline and sync later. Farmers earn points, and currency if the project chooses, for verified submissions. Lessons explain cover crops and why good records matter, and the forum gives farmers a place to compare notes. That's the difference between a monitoring system people put up with and one they actually use.


On every screen, in 11 languages
Join the CitizenClimate movement to track and push forward monitoring progress in your community:
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Download the app – Get started collecting data using questionnaires built for your needs
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Access the dashboards – Use our API to visualise and compare SDG scores
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Share your impact – Show everyone what your community's doing for sustainability
Frequently Asked Questions
How do you monitor regenerative agriculture practices?
Farmers map field boundaries by GPS and log practices such as cover crops, tillage and organic fertiliser, with dates and photos. Periodic soil samples and AI crop health checks add evidence of outcomes.
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How is soil carbon estimated for each field?
Soil sample results are linked to the field boundary and combined with practice data and a rate or model to estimate carbon per hectare. The film uses an illustrative 0.68 t COâ‚‚e per hectare per year.
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What does the AI crop health check look for?
It reads crop photos for signs of nitrogen deficiency, stress, pests and disease, with confidence scores. Flags are checked by agronomists before advice goes back to the farmer.
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Which methodology suits regenerative agriculture carbon projects?
Verra's VM0042 (Improved Agricultural Land Management) is widely used. It combines documented practices, modelling and soil sampling, which is the evidence CitizenClimate collects.
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Can farmers use the app without internet?
Yes. Boundary walks, practice logs, crop photos and surveys can all be captured offline, and they sync automatically when the phone reconnects.
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