THP.P21: Agricultural Yield Estimation and Prediction II
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 21
Session Type: Poster
Session Chair: Nicolas Baghdadi, INRAE
Track: Land Applications

THP.P21.1: INCORPORATING FUTURE CLIMATE AND SOIL CONDITIONS INTO LAND SUITABILITY ANALYSIS FOR SUSTAINABLE CROP PRODUCTION

Nikolaos Karapetsas, Georgios Bilas, Thomas Alexandridis, Eleni Katragkou, Vasileios Pavlidis, Aristotle University of Thessaloniki, Greece; Anne Gobin, KU Leuven, Belgium

THP.P21.2: DECOMPOSE THE UNCERTAINTY FOR CROP YIELD PREDICTION BY COMBINING DEEP ENSEMBLES WITH GAUSSIAN NLL LOSS

Doyoung Jeong, Yongjin Jeon, Minyoung Back, Hyunguk Choi, SI Analytics, South Korea

THP.P21.3: HIGH SPATIAL RESOLUTION FOR CROP YIELD PREDICTION IN LARGE FARMING SYSTEMS: A NECESSITY OR ADDITIONAL OVERHEAD

Stella Ofori-Ampofo, Xiao Xiang Zhu, Technical University of Munich, Germany; Ridvan Salih Kuzu, German Aerospace Center, Germany

THP.P21.4: EXPLAINABILITY OF END AND MID-SEASON COTTON YIELD PREDICTORS IN CONUS

Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Istanbul Technical University, Turkey; Gustau Camps-Valls, Universitat de València, Spain

THP.P21.5: INFORMATIVE EARTH OBSERVATION VARIABLES FOR COTTON YIELD PREDICTION USING EXPLAINABLE BOOSTING MACHINE

Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gulsen Taskin, Istanbul Technical University, Turkey

THP.P21.6: SIMULATION OF REGIONAL COTTON GROWTH AND YIELD USING REMOTE SENSING DATA AND CROP MODEL IN WEST TEXAS

Bishnu Ghimire, Oluwatola Adedeji, Rupak Karn, Alwaseela Abdalla, Emily Wieber, Wenxuan Guo, Texas Tech University, United States

THP.P21.7: ESTIMATING CROP GRAIN YIELD AND SEED COMPOSITION USING DEEP LEARNING FROM UAV MULTISPECTRAL DATA

Maitiniyazi Maimaitijiang, Bruce Millet, Shahid Nawaz Khan, Péter Kovács, South Dakota State University, United States; Sidike Paheding, Abel A. Reyes, Michigan Technological University, United States; Kamila Dilmurat, Saint Louis University, United States

THP.P21.9: AN IMPROVED CASA MODEL FOR ESTIMATING CROP CARBON SINKS FROM REMOTE SENSING IMAGES

Peng Wang, Chong Niu, Zhigang Yan, Wenping Yin, Botao He, Pei Li, Yong Xue, China University of Mining and Technology, China; Long Zhang, Shandong GEO-Surveying & Mapping Institute, China

THP.P21.10: Crop Predictive Insights: The Synergy of Deep Learning, Multi-Source Satellite Imagery and Weather Data

Pragneshkumar Patel, Sanjay Chaudhary, Ahmedabad University, India; Hasit Parmar, L. D. College of Engineering, India

THP.P21.11: MAPPING INDIAN RICE YIELDS THROUGH STATISTICAL MODELING USING SATELLITE AND CLIMATIC DATA

Mukund Narayanan, Idhayachandhiran Ilampooranan, Indian Institute of Technology Roorkee, India