MonitorML

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MonitorML - the machine-learning engine behind the Monitor API, which predicts field-level farming ACTIVITIES from remote sensing rather than static land cover: crop activity, tillage activity and cover-crop activity, detected per field and delivered programmatically through the Monitor API alongside the Measure API for greenhouse-gas quantification. Companion documentation covers per-practice detection accuracy, cover-crop detection and verification, and country-by-country availability. This is event-and-operation detection at parcel scale - what happened on a field and when - exposed as an API feed rather than as a report