Google Agricultural Understanding Platform

Google’s Agricultural Understanding Platform organizes planetary agricultural information at the individual farm field level using high-resolution Earth observation satellite imagery, geospatial data, and machine learning models.

The platform provides two primary capabilities via developer APIs:

• Agricultural Landscape Understanding (ALU): Automatically detects and delineates discrete farm field boundaries at scale, computes field acreage, and maps water bodies and tree cover for drought contingency planning.
• Agricultural Monitoring and Event Detection (AMED): Delivers in-season, chronological crop classification, planting/harvesting cycle detection, and phenological monitoring across growing seasons.

Outputs integrate directly into Google Earth Engine and BigQuery to support precision agritech advisory, public agricultural policy, and farm credit-risk assessment.