FR4.P3: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications IV
Friday, 8 August, 15:45 - 17:00
Location: Plaza: Room P3
Session Type: Oral
Track: Community-Contributed Sessions
Fri, 8 Aug, 15:45 - 16:00

FR4.P3.1: REMOTE SENSING FOR DIGITAL AGRICULTURE AND HIGH-THROUGHPUT PHENOTYPING

Bikram Banerjee, University Of Southern Queensland, Australia
Fri, 8 Aug, 16:00 - 16:15

FR4.P3.2: Recognition of wheat rusts in a field environment based on improved DenseNet

Shenglong Chang, Henan Agricultural University, China; Guijun Yang, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China; Jinpeng Cheng, Ziheng Feng, Zehua Fan, Xinming Ma, Yong Li, Henan Agricultural University, China; Xiaodong Yang, Chunjiang Zhao, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, China
Fri, 8 Aug, 16:15 - 16:30

FR4.P3.3: POOR ESTIMATION OF MODERATE-HIGH VEGETATION COVERAGE USING DIMIDIATE PIXEL MODELS

Tongtong Li, Shandong Normal University, China; Jingwen Hu, Shandong Marine Forecast and Hazard Mitigation Servic, China; Lin Gao, Shandong Normal University, China
Fri, 8 Aug, 16:30 - 16:45

FR4.P3.4: Multi-Platform Remote Sensing Integration from Ground to Space: A Case Study on Canola Phenology Monitoring in Australia

Ruizhu Jiang, Yan Zhao, Andries Potgieter, The University of Queensland, Australia