Real time plant response and yield testing

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Gathering in-field data to advance digital agriculture

Collaborators: EMILI, AIRM (2023,2024)

Using AIRM's Crop Sentry system, EMILI's Innovation Farms team has access to daily multispectral point cloud and other sensor data throughout the season on soil conditions, weather, and plant health. Computer vision and machine learning models provide real-time information to predict crop yield and quality outcomes to optimize decisions and inform best practice standards.