Field-Level Agricultural Intelligence for Critical Business Decisions
Access global historical production data and current crop insights through API and data subscriptions—without the cost and complexity of traditional data collection.
Agricultural Data Gaps Create Three Critical Constraints:
Market Entry Barriers: Missing data prevents launching new products or entering new geographic markets
Operational Inefficiency: Manual data collection and verification processes drain resources
Risk Blind Spots: Incomplete historical or current production data leads to poor risk assessment
Trusted by businesses big and small across the globe
Field-Level Intelligence, Delivered as Answers
Granularity: Field-level insights vs. regional/county aggregates
Historical Depth: Access to past production data that's difficult or impossible to obtain manually
Accessibility: Data delivered as answers, not raw information requiring interpretation
Economic Efficiency: Faster, cheaper access than traditional collection methods
Discover how Agrograph Serves Industry Leaders
Insurance
Fill Critical Data Gaps Blocking Your Insurance GrowthLand Management
Enhance Your Platform Without Building Data InfrastructureVerify Agricultural Sustainability Claims with Field-Level DataSustainability
Featured Case Study
Agrograph Develops Scalable Middle East Crop Identification Model for USDA
Agrograph partners with USDA to develop a Middle East crop identification model