TU3.R6.1: AN OPERATIONAL APPROACH TO LARGE-SCALE CROP YIELD PREDICTION WITH SPATIO-TEMPORAL MACHINE LEARNING MODELS
Patrick Helber, Benjamin Bischke, Carolin Packbier, Peter Habelitz, Florian Seefeldt, Vision Impulse GmbH, Germany
TU3.R6.2: RAPID DETECTION OF GRAPEVINE VIRAL DISEASE WITH HIGH-RESOLUTION HYPERSPECTRAL REMOTE SENSING TECHNOLOGY
Yeniu Mickey Wang, CSIRO, Australia; Vinay Pagay, The University of Adelaide, Australia
TU3.R6.3: MULTI-MODAL FUSION METHODS WITH LOCAL NEIGHBORHOOD INFORMATION FOR CROP YIELD PREDICTION AT FIELD AND SUBFIELD LEVELS
Miro Miranda, Deepak Pathak, Marlon Nuske, Andreas Dengel, DFKI, Germany
TU3.R6.4: COMBINING MULTISPECTRAL DATA FROM UNMANNED AERIAL SYSTEM AND SENTINEL-2 FOR KIWIFRUIT AND COTTON MONITORING AND YIELD ASSESSMENT
Emmanouil Psomiadis, Christos Toubaridis, Marilou Avramidou, Agricultural University of Athens, Greece
TU3.R6.5: DEEP HIERARCHICAL TEMPORAL DATA FUSION IMPROVES YIELD ESTIMATION UNDER EXTREME CLIMATE STRESS
Xingguo Xiong, College of Biosystems Engineering and Food Science, Zhejiang University, China; Renhai Zhong, Institute of Applied Remote Sensing and Information Technology, Zhejiang University, China; Qiyu Tian, Tao Lin, College of Biosystems Engineering and Food Science, Zhejiang University, China
TU3.R6.6: OPTIMIZING CROP YIELD PREDICTION: INTER-DATED VEGETATION INDICES & AUTOML ENSEMBLES IN PROCESSING TOMATO CROP
Nicoleta Darra, Borja Espejo Garcia, Emmanouil Psomiadis, Spyros Fountas, Agricultural University of Athens, Greece
TU3.R6.7: SATELLITE DETECTION OF INTER-ROW MANAGEMENT PRACTICES IN A NORTH-ITALY VINEYARD: PRELIMINARY RESULTS
Cristian Garau, David Marzi, Massimiliano Bordoni, Fabio Dell'Acqua, Università di Pavia, Italy
