Conferences
25 April 2023, Online
EO&GEO Series: New Milestones in Drones—from New Drones Designs to Real-Time and Artificial Intelligence Applications
Drones have become an increasingly popular tool for mapping and surveying, with their ability to capture high-resolution and multi-sensor imagery. However, traditional mapping techniques often require significant time and effort to process the collected data before use; therefore, real-time drone mapping offers a game-changing solution that will transform various application fields such as emergency response or agriculture. Moreover, in the latter field, agriculture, we are seeing changes in the way drones are being used to map, survey, and collect data with novel drone designs. Following the same trend, with the rise of drones and the increasing use of artificial intelligence, precision agriculture is rapidly evolving and changing the way we approach farming. Therefore, artificial intelligence is empowering agricultural users to make more informed decisions, and to optimize their practice with a precise forecast about the current state of their crops.
We are privileged to have recognized industry and academic experts who will share their experiences and insights on how to effectively leverage these technologies to achieve better results and improve drone productivity in different applications. So, whether you are a researcher, applied scientist, commercial drone user, or simply interested in the latest trends in drones, we invite you to join us for this webinar.
Date: 25 April 2023 at 4:00 p.m. CEST | 10:00 a.m. EDT | 10:00 p.m. CST Asia
Webinar ID: 856 0940 6702
Register now for free!
| Speaker/Presentation | Time in CEST | Time in EDT |
| Prof. Dr. Diego González-Aguilera/Dr. Pablo Rodríguez-Gonzálvez Chair Introduction |
4.00–4:10 p.m. | 10:00–10:10 a.m. |
| Prof. Dr. Francesco Nex “Towards Real-Time Drone Mapping” |
4:10–4:30 p.m. | 10:10–10:30 a.m. |
| Q&A | 4:30–4:35 p.m. | 10:30–10.35 a.m. |
| Mrs. Katerina Margarita “Reconfigurable UAV for Agricultural Applications” |
4:35–4:55 p.m. | 10:35–10:55 a.m. |
| Q&A | 4:55–5:00 p.m. | 10:55–11:00 a.m. |
| Mr. Xavier Silva Garcia “Use of Artificial Intelligence Models to Predict Crop Yields” |
5:00–5:20 p.m. | 11:00–11:20 a.m. |
| Q&A | 5:20–5:25 p.m. | 11:20–11:25 a.m. |
| Prof. Dr. Diego González-Aguilera/Dr. Pablo Rodríguez-Gonzálvez Closing Remarks |
5:25–5:30 p.m. | 11:25–11:30 a.m. |
After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
Webinar Chairs and Keynote Speakers:
- Prof. Dr. Diego González-Aguilera (Chair), Cartographic and Land Engineering Department, Higher Polytechnic School of Avila, University of Salamanca, Salamanca, Spain
- Dr. Pablo Rodríguez-Gonzálvez (Chair), Department of Mining Technology, Topography and Structures, University of León, Ponferrada, Spain
- Prof. Dr. Francesco Nex, Earth Observation Science (ESO) Department, ITC Faculty, University of Twente, Enschede, the Netherlands
- Mrs. Katerina Margarita, ACCELIGENCE HELLAS Ltd, Greece
- Mr. Xavier Silva Garcia, CEO & Co-Founder HEMAV Technology SL
Relevant Topic:
- “Advances in Earth Observation and Geosciences”
Topic Editors: Prof. Dr. Diego González-Aguilera and Dr. Pablo Rodríguez-Gonzálvez
Relevant Special Issues:
- “Drone-Based Information Fusion to Improve Autonomous Navigation”
Special Issue Editors: Dr. João Pedro Pedro Matos-Carvalho and Dr. Luís Miguel Campos - “Recent Progress in UAV-AI Remote Sensing”
Special Issue Editors: Dr. Yingying Dong, Chenghai Yang, Dr. Giovanni Laneve and Dr. Wenjiang Huang - “Integrating Remote Sensing and Geospatial Big Data for Land Use Mapping and Monitoring”
Special Issue Editors: Dr. Myroslava Lesiv, Dr. Linda See and Dr. Dmitry Schepaschenko
Relevant Papers:
- “Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images”
Remote Sens. 2022, 14(3), 592; https://doi.org/10.3390/rs14030592 - “Coastal Wetland Vegetation Classification Using Pixel-Based, Object-Based and Deep Learning Methods Based on RGB-UAV”
Land 2022, 11(11), 2039; https://doi.org/10.3390/land11112039 - “Geometric Accuracy of 3D Reality Mesh Utilization for BIM-Based Earthwork Quantity Estimation Workflows”
ISPRS Int. J. Geo-Inf. 2021, 10(6), 399; https://doi.org/10.3390/ijgi10060399 - “Simultaneous Localization and Mapping (SLAM) and Data Fusion in Unmanned Aerial Vehicles: Recent Advances and Challenges”
Drones 2022, 6(4), 85; https://doi.org/10.3390/drones6040085
https://us02web.zoom.us/webinar/register/5716807438830/WN_GxlAUwykTBuf6gCGNDlXWg#/registration
