WE4.R8.1

CROP YIELD PREDICTION: AN OPERATIONAL APPROACH TO CROP YIELD MODELING ON FIELD AND SUBFIELD LEVEL WITH MACHINE LEARNING MODELS

Patrick Helber, Benjamin Bischke, Peter Habelitz, Vision Impulse GmbH, Germany; Cristhian Sanchez, Deepak Pathak, Miro Miranda, German Research Center for Artificial Intelligence (DFKI), Germany; Hiba Najjar, Francisco Mena, University of Kaiserslautern-Landau (RPTU), Germany; Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany
Session:
WE4.R8: Agricultural Yield Estimation and Prediction I Oral
Track:
Land Applications
Location:
Room H
Presentation Time:
Wed, 19 Jul, 15:45 - 15:57 Pacific Time (UTC -8)
Session Co-Chairs:
Jasmeet Judge, U. Florida and Zhengwei Yang, USDA National Agricultural Statistics Service
Session Manager:
Mark Angelo Purio
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Session WE4.R8
WE4.R8.1: CROP YIELD PREDICTION: AN OPERATIONAL APPROACH TO CROP YIELD MODELING ON FIELD AND SUBFIELD LEVEL WITH MACHINE LEARNING MODELS
Patrick Helber, Benjamin Bischke, Peter Habelitz, Vision Impulse GmbH, Germany; Cristhian Sanchez, Deepak Pathak, Miro Miranda, German Research Center for Artificial Intelligence (DFKI), Germany; Hiba Najjar, Francisco Mena, University of Kaiserslautern-Landau (RPTU), Germany; Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany
WE4.R8.2: Cotton Yield Prediction using Satellite Remote Sensing and Machine Learning
Oluwatola Adedeji, Bishnu Ghimire, Rupak Karn, Emily Wieber, Alwaseela Abdalla, Wenxuan Guo, Crop Ecophysiology and Precision Agriculture Lab, Department of Plant and Soil Science, Texas Tech University, United States
WE4.R8.3: PREDICTING CROP YIELD WITH MACHINE LEARNING: AN EXTENSIVE ANALYSIS OF INPUT MODALITIES AND MODELS ON A FIELD AND SUBFIELD LEVEL
Deepak Pathak, Miro Miranda, German Research Center for Artificial Intelligence (DFKI), Germany; Francisco Mena, University of Kaiserslautern-Landau (RPTU), Germany; Cristhian Sanchez, German Research Center for Artificial Intelligence (DFKI), Germany; Patrick Helber, Benjamin Bischke, Peter Habelitz, Vision Impulse GmbH, Germany; Hiba Najjar, University of Kaiserslautern-Landau (RPTU), Germany; Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany
WE4.R8.4: SOYBEAN YIELD ESTIMATION USING FUSED PLANETSCOPE AND SENTINEL-2 IMAGERY
Nizom Farmonov, Khilola Amankulova, József Szatmári, University of Szeged, Hungary; Alireza Sharifi, Shahid Rajaee Teacher Training University, Iran; László Mucsi, University of Szeged, Hungary
WE4.R8.5: SIMULTANEOUSLY ESTIMATING CROP YIELD AND SEED COMPOSITION USING MULTITASK LEARNING FROM UAV MULTISPECTRAL DATA
Shahid Nawaz Khan, Maitiniyazi Maimaitijiang, Bruce Millett, South Dakota State University, United States; Sidike Paheding, Michigan Technological University, United States; Dapeng Li, Melanie Caffé, Péter Kovács, South Dakota State University, United States
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