1 FieldLens

Agentic Farm Desktop

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Tags

  • Norway

Categories

  • Challenge #3: Disaster risk monitoring​
  • Challenge #2: Tracking and preventing water pollution​

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Description

FieldLens

An agentic AI-driven water-management dashboard for European farmers, powered by Copernicus data.

Problem

Agriculture causes 80% of nitrogen pollution in EU waters (EEA), and bears 53% of the EU's €9bn annual drought losses (JRC). Farmers are simultaneously the largest polluter and the largest victim of water related risks, and they currently lack the tools to do enough about it.

Farm water data is widely accessible. Actionable insight is out of reach.

We want to target Cassini EU Challenge #2 by helping mitigating nitrate and phosphate runoff-pollution from farms, and Challenge #3 Disaster risk monitoring by helping farmers plan for and mitigate risks related to droughts and flood.

Solution

FieldLens is the missing translation layer, allowing the average farmer to create custom-tailored reports that syntesize the Copernicus data to their individual and local needs. We pull Satellite data, GeoNorge, Kartverket and other open data, and combine it with farm local shape files, GeoJSON, sensor data and tractor data that the farmer themselves upload. We feed the data to an agentic AI, that is tailored to understand and predict farm water management related problems. In conversation with the farmer, the agent generates custom dashboards that are tailored to answer hyperlocal needs and questions unique to each farm.

Market Research

We posted about FieldLens on farm-related social media (Facebook "Forum for Korndyrkere", Telegram channel "AgOpenGPS-Norway"), and reached out to Landbruksdirektoratet, Felleskjøpet and Yara, to ask farmers and industry experts about their water management related problems and expertise.

We were flooded by respones. Between 10:00am on Saturday and 10:00am on Sunday we spoke with:

- Sigurd Lars Aspesletten, Policy Director in the Norwegian Agriculture Agency (Landbruksdirektoratet)

- Pål Øystein Stormorken, VP Industry & Market Lead in Yara

- Even Kristian Mangerud, product lead for Smart Landbruk in Felleskjøpet

- 6 different farmers from all over Norway, growing a wide range of crops, on farms from 200 ha to 1300 ha

Farmers have significant challenges related to managing water systems, pollution tracking and drought/flood related crop risk management. The farmers all reported a need for a system that could gather and analyse fragmented data, combining satellite and weather data with locally gathered data from farm heavy machinery (tractors etc) and sensors. Furthermore, the farmers need help with converting data to actionable insight.

Business model and market fit

We asked farmers about their payment willingness for a solution like FieldLens. One farmer told us that he pays 750 kroner a year today for CropPlan, and 2000-3000 kroner a year for satelite data access.

Another farmer told us that he would use the system far more during spring and summer than during winter, and wouldn't want to pay for a traditional subscription model. We've landed on a simple model that's tried and tested for AI-powered solutions. Farmers get a limited amount of free tokens, and then we scale billing based on token spend, with price estimates clearly displayed to the user at all times.

We also added a newlsetter link and "Vipps for Beta-access" link to the website. On Sunday morning, 14 hours after site launch, a farmer who visited our website through a Facebook "Forum for Korndyrkere" link signed up for beta access, paying 199 NOK to us through vipps. Our first paying customer!

We also have 14 newsletter signups and have sent out our first newsletter. Initial signals seem to show a high demand for the solution in the market.

How to test our product

Judge Login: 

- Username: judge1234
- Password: judge1234

Instructions:

Go to our website https://fieldlens.space and review the demos. Login using the credentials above to use the application. Select appropriate data and start chatting with our AI agent. Ask it to create a custom dashboard. For example:

- I own Dyster Farm in Ås Norway, can you generate a report of the water moisture in my fields using the Copernicus data set?

- I own Dyster Farm in Ås Norway, can you generate a report of the vegetation health of my fields? I need to know how to precisely use fertilizer to mitigate water pollution.


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