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Agronomic Applications of Remotely Sensed Data

Jan 31, 2023

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Video: Agronomic Applications of Remotely Sensed Data

Steve Shirtliffe, Professor in the Department of Plant Sciences at the University of Saskatchewan, discusses remotely sensed UAV and satellite imagery and how it can be used to monitor crop growth and inform agronomic decisions.

Watch to learn about machine learning techniques that allow for mapping and predicting crop stage, crop yield potential, soil salinity, weed patch dynamics, crop emergence, and soil organic carbon content.

This session was presented at the semi-annual Farms.com Precision Agriculture Conference.

Conference information: https://www.farms.com/precision-agric...

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