TH1.R14.4
Weekly Field-Level Agricultural Tillage Event Mapping for the Midwestern U.S. Using Sentinel-1 and Sentinel-2 Data Fusion
Xinyu Wang, Liping Di, Chen Zhang, Hui Li, Bosen Shao, George Mason University, United States
Session:
TH1.R14: Agriculture: AI-Driven Agricultural Forecasting X Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 09:15 - 09:30
Presentation
Discussion
Resources
No resources available.
Session TH1.R14
TH1.R14.1: In-Season Prediction of County-Level Corn Yield Three Months Before Harvest
Ziao Liu, Liping Di, Chen Zhang, Liying Guo, Bosen Shao, Hui Li, George Mason University, United States
TH1.R14.2: NATIONAL-SCALE ORCHARD TYPE MAPPING VIA MULTIMODAL DEEP LEARNING FUSION OF VERY-HIGH-RESOLUTION IMAGERY AND SATELLITE TIME SERIES
Lior Fine, Tarin Paz-Kagan, Ben-Gurion University of the Negev, Israel; Offer Rozenstein, Agricultural Research Organization - Volcani Institute, Israel
TH1.R14.3: CROP YIELD PREDICTION FOR BREEDING USING UAV REMOTE SENSING AND MULTIMODAL LARGE LANGUAGE MODEL
Guofeng Yang, Ling Qing, Southwest University, China; Yong He, Xuping Feng, Zhejiang University, China
TH1.R14.4: Weekly Field-Level Agricultural Tillage Event Mapping for the Midwestern U.S. Using Sentinel-1 and Sentinel-2 Data Fusion
Xinyu Wang, Liping Di, Chen Zhang, Hui Li, Bosen Shao, George Mason University, United States
TH1.R14.5: SMART MONITORING OF COVERED GREENHOUSES: IMPLEMENTATION OF REMOTE SENSING AND DEEP LEARNING FOR SUSTAINABLE LAND PLANNING
David Freire Granda, ESPOL Polytechnic University, Ecuador; Cesar Ivan Alvarez, University of Augsburg, Germany; María Fernanda Calderón, Andrés Velastegui-Montoya, ESPOL Polytechnic University, Ecuador
Contacts