AI-Powered Annual Crop Mapping for Canadian Agriculture

Accountable

Agriculture and Agri-Food Canada (AAFC)

Functional Modes

Sensing (Perceptive AI)

Human decides

Purpose

Ecology

Input Dataset

About a measurement Anonymized data

Algorithm or Model

Classification & Prediction

Output Dataset

About a place Anonymized data

Details

Every year since 2009, Agriculture and Agri-Food Canada uses machine-learning analysis of satellite imagery and field data to produce a detailed map showing what crops are growing across Canada. The map is publicly available and is used by government and researchers to track land use and environmental change over time. No personal information is collected or used. The system's use of AI is not currently disclosed to the public at the point of access.