17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO5.V14.4

WHITE MOLD AND WEED DETECTION IN SNAP BEANS USING UAS-BASED LIDAR

Fei Zhang, Amirhossein Hassanzadeh, Jan van Aardt, Rochester Institute of Technology, United States; Julie Kikkert, Cornell Cooperative Extension, United States; Sarah Pethybridge, Cornell AgriTech, United States
Session:
Crop and Soil Properties Monitoring using UAV Oral Virtual
Track:
Special Themes
Location:
Virtual Room 14
Presentation Time:
Mon, 18 Jul, 20:35 - 20:50 Malaysia Time (UTC +8)
Mon, 18 Jul, 14:35 - 14:50 Central European Time (UTC +2)
Mon, 18 Jul, 12:35 - 12:50 UTC
Mon, 18 Jul, 08:35 - 08:50 Eastern Time (UTC -4)
Session Chair:
Ce Zhang, Lancaster University
Session Manager:
Abdullah Munir Roslan
Presentation
Discussion
Resources
No resources available.
Session MO5.V14
MO5.V14.1: APPLICATION OF UAV-BASED PHOTOGRAMMETRY WTHOUT GROUND CONTROL POINTS IN QUANTIFYING INTERTIDAL MUDFLAT MORPHODYNAMICS
Chunpeng Chen, East China Normal University,Lancaster University, China; Ce Zhang, Lancaster University, United Kingdom; Wenting Wu, Fuzhou University, China; Wenhao Jiang, Bo Tian, Yunxuan Zhou, East China Normal University, China
MO5.V14.2: UAV OBSERVATIONS FOR SOIL VOLUME ESTIMATION OF DEBRIS FLOWS
Hiroyuki Miura, Takuro Tanizaki, Hiroshima University, Japan
MO5.V14.3: VALIDATING LANDSAT AND SENTINEL-2 ANALYSIS READY DATA WITH UAV-MOUNTED SPECTROMETERS
Mark Broomhall, Guy Byrne, Eric Hay, Geoscience Australia, Australia; Medhavy Thankappan, Andrew Walsh, Geoscience australia, Australia
MO5.V14.4: WHITE MOLD AND WEED DETECTION IN SNAP BEANS USING UAS-BASED LIDAR
Fei Zhang, Amirhossein Hassanzadeh, Jan van Aardt, Rochester Institute of Technology, United States; Julie Kikkert, Cornell Cooperative Extension, United States; Sarah Pethybridge, Cornell AgriTech, United States
MO5.V14.5: A HIGH-THROUGHPUT PHENOTYPING PIPELINE FOR RAPID EVALUATION OF MORPHOLOGICAL AND PHYSIOLOGICAL CROP TRAITS ACROSS LARGE FIELDS
Sumanta Das, Sean Massey-Reed Reynolds, Jenny Mahuika, James Watson, Celso Cordova, Yan Zhao, Scott Chapman, Barbara George-Jaeggli, David Jordan, Graeme Hammer, Andries Potgieter, The University of Queensland, Australia; Loren Otto, AirBorn Insight Pty Ltd, Australia
MO5.V14.6: MONITORING PHYTOPHTHORA DISEASE SYMPTOMS THROUGH VERY-HIGH-RESOLUTION MULTISPECTRAL AND THERMAL DRONE IMAGERY
Alberto Hornero, Swansea University, United Kingdom; Ilaria Marengo, Nuno Faria, InnovPlantProtect Associação, Portugal; Rocio Hernandez-Clemente, Universidad de Cordoba, Spain