Session: Symposium--Future of Remote Sensing for Agriculture: How This Information Can be Effectively Used for Decision Making

Division: ASA Section: Climatology and Modeling

Title: Symposium--Future of Remote Sensing for Agriculture: How This Information Can be Effectively Used for Decision Making

Lead Community Sponsor: Airborne and Satellite Remote Sensing Community
Cosponsor: ASA Section: Climatology and Modeling
Community Cosponsor:
Format: Oral Symposium
Keywords: calibration and validation, classification, remote sensing and satellites

Session Description: There is a rapid increase in incorporating remote sensing, data analytics, and new communication systems and sensor platforms in agricultural research.  Particularly, machine learning-based modeling and forecasting algorithms are revolutionizing the conventional methods for classification, calibration, and validation of remotely sensed data; from satellites to aircraft to UAVs and proximal sensors. Questions remain on how can remote sensing technology help make agronomic production more efficient, profitable and sustainable? The Symposium focuses on advances in how this information can be incorporated into agricultural decision making processes.