Google Agricultural Understanding Platform in AI answers

Google’s Agricultural Landscape Understanding (ALU) uses high-resolution satellite imagery and machine learning to delineate farm field boundaries and produce field-level insights such as acreage, water resources, and vegetation. The Agricultural Monitoring and Event Detection (AMED) API provides historical and in-season crop monitoring data tied to identified fields, with outputs derived from ALU and accessible via Google Earth, BigQuery, and other platforms. The goal is to organize agricultural information at the farm level for governments, agritech providers, and financial institutions, delivering actionable insights to support decision-making, drought planning, and credit assessments, including expansion to the Global South.