2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

My APS/URSI 2019 Schedule

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Paper:	THP-UF.1P.1
Session:	Microwave Remote Sensing
Session Time:	Thursday, July 11, 16:00 - 18:00
Presentation Time:	Thursday, July 11, 16:00 - 17:00
Presentation:	Interactive Forum
Board Number:	T.31
Paper Title:	A Pilot Study of the Effects of Soil Moisture and Training Data Diversity on the Accuracy of Machine-Learning-Based Microwave Sensing for Cranberry Yield Estimation
Authors:	Alex Haufler, John Booske, Susan Hagness, University of Wisconsin-Madison, United States