TU3.P2.3
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:
Room P2
Presentation Time:
Tuesday, 5 August, 13:45 - 14:00
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, Aristotle University of Thessaloniki, Greece; Eleni Kalopesa, Four Private Company, 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: Enhancing soil organic carbon prediction of LUCAS soil database using deep learning and deep feature selection
Mohammadmehdi Saberioon, GFZ Helmholtz Centre for Geosciences, Germany; Asa Gholizadeh, Czech university of life Science, Prague, Czech Republic; Ali Ghaznavi, Bundesanstalt für Materialforschung und -prüfung (BAM), Germany; Sabine Chabrillat, GFZ Helmholtz Centre for Geosciences, Germany; Vahid Khosravi, Czech university of life Science, Prague, Czech Republic
TU3.P2.3: GaiaBot: Simplifying Access to Soil Data
Giannis Gallios, Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States
TU3.P2.4: 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.P2.5: Spectral Analytics with Generalized Embeddings using LSTM Autoencoders
Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States
Resources
No resources available.