FieldStat provides per-field growers’ data combined from AI models and public sources for major ag markets on the whole-country level
FieldStat data layers
Boundaries, crops and growers combined in one convenient dataset
Field boundaries
Detected by AI model from satellite imagery
Cultivated crops
Detected by AI model from satellite imagery
Grower for each field
Defined based on land parcels acquired via public sources
Covered regions
Country / region;Field boundaries and crops;Grower for each field;Link to demo
United States;V;V;Iowa link=https://demo.fieldstat.ai/map?region=1&lang=en
Canada;V;–;Manitoba link=https://demo.fieldstat.ai/map?region=7&lang=en
Brazil;V;V;San Paolo link=https://demo.fieldstat.ai/map?region=5&lang=en
Argentina;V;–;Buenos Aires link=https://demo.fieldstat.ai/map?region=9&lang=en
European Union;V;–;France, Oise link=https://demo.fieldstat.ai/map?region=6&lang=en
United Kingdom;V;–;Berdforshire link=https://demo.fieldstat.ai/map?region=8&lang=en
Russia;V;V;Lipetsk link=https://demo.fieldstat.ai/map?region=4&lang=en
FieldStat data use cases
Ag sales and marketing
Enrich CRM with growers profiles, plan individual sales activities, target marketing campaigns
Sustainability and carbon farming
Analyze the best fields and growers to implement sustainable practices and capture carbon
FMS and digital farming apps
Ease onboarding by automatically adding fields and farms, improve UX and gain more users
Ag marketplaces and online trading
Plan for outbound marketing, target the offerings and easily onboard the growers
Ag financing and insurance
Select target customers, validate the information provided for financing and payoffs
Market intelligence
Gain insights on crop production, inputs demand and farm property