Wed, Jul 18, 2018
4:40pm to 5:20pm
Precision soil health assessment using proximal soil sensing techniques has the potential to provide high resolution, comprehensive, and efficient characterization of important soil health variables simultaneously. Sensor data fusion techniques can be used to integrate data obtained from visible and near infrared (VNIR) diffuse reflectance spectroscopy, soil strength, apparent soil electrical conductivity (ECa), and other sensors, for improved soil health assessment. Important research and development needs remain, including the optimization of sensors and analytical methods to provide on-the-go soil health assessment for improved management decisions.
Dr. Ken Sudduth is an agricultural engineer with the Agricultural Research Service of the USDA in Columbia, Missouri where for over 25 years he has led a team conducting research in precision agriculture. His research interests include soil property sensing and measurement and interpretation of crop and soil variability. He also teams with soil scientists and agronomists to apply these approaches in precision crop management systems. Sudduth is an Adjunct Professor of Bioengineering at the University of Missouri and Past-President of the International Society of Precision Agriculture.