TU3.P2.2

GaiaBot: Simplifying Access to Soil Data

Giannis Gallios, Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States

Session:
TU3.P2: Artifial Intelligence Advancements for Optimizing Soil Health Monitoring and Accessibility I Oral

Track:
Community-Contributed Sessions

Location:
Plaza: Room P2

Presentation Time:
Tuesday, 5 August, 13:30 - 13:45

Presentation
Discussion
Resources
No resources available.
Session TU3.P2
TU3.P2.1: PRIVACY-PRESERVING SOIL DATA: FEDERATED LEARNING FOR TOPSOIL DESCRIPTORS VIA REMOTE SENSING
Nikolaos Tsakiridis, Eleni Kalopesa, George Zalidis, Aristotle University of Thessaloniki, Greece; Nikolaos Tziolas, University of Florida, United States; Nick Berkvens, Theodoros Chalazas, Tuna Coppens, Panagiotis Ilias, Instituut voor Landbouw-, Visserij- en Voedingsonderzoek, Belgium
TU3.P2.2: GaiaBot: Simplifying Access to Soil Data
Giannis Gallios, Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States
TU3.P2.3: A MACHINE LEARNING METHOD FOR SALINE-ALKALI LAND CONDUCTIVITY ESTIMATING BASED ON THE GROUND PENETRATING RADAR TECHNIQUE
Jiayue Chen, Zijie Zheng, Quanquan Tang, Hao Wen, Bin Wu, Jilin University, China; Xiaofeng Li, Chinese Academy of Sciences, China
TU3.P2.4: SPECTRAL ANALYTICS WITH GENERALIZED EMBEDDINGS USING LSTM AUTOENCODERS
Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States
TU3.P2.5: ENSEMBLE-BASED MULTI-FREQUENCY RETRIEVAL FOR IMPROVED SOIL MOISTURE PROFILE ESTIMATION
Ziwei Xiong, Jeffrey Walker, Monash University, Australia; Liujun Zhu, Hohai University, China; Brian Ng, The University of Adelaide, Australia; Nan Ye, Xiaoling Wu, Lixiaozhou Zhou, Luisa F. White-Murillo, Monash University, Australia; James Hills, University of Tasmania, Australia; Mahta Moghaddam, University of Southern California, United States; Simon Yueh, Jet Propulsion Laboratory, California Institute of Technology, United States; Dara Entekhabi, Massachusetts Institute of Technology, United States
Resources
No resources available.