FRP1.PBB.4
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
Session:
FRP1.PBB: Multisource Remote Sensing for Enhanced Monitoring and Assessing Agricultural Land Applications III Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Friday, 8 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session FRP1.PBB
FRP1.PBB.4: 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
FRP1.PBB.5: 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
FRP1.PBB.6: COMBINING UAV MULTISPECTRAL DATA & CROP MORPHOLOGICAL FEATURES FOR SUNFLOWER OIL CONTENT ESTIMATION
Muhammad Ali, Usama Athar, Zuhair Zafar, National University of Sciences and Technology, Pakistan; Hasan Ali Khattak, Australian Catholic University, Australia; Karsten Berns, Rheinland-Pfalzische Technische Universitat, Germany; Muhammad Moazam Fraz, National University of Sciences and Technology, Pakistan
FRP1.PBB.8: Enhancing rapeseed yield prediction based on multi-sensor and multi-temporal UAV data
Qian Song, Miao Lu, Yan Zha, Xiangyang Liu, Shangrong Wu, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China
FRP1.PBB.9: Spatial Configuration of Diseased Sweet Potato Crop from UAV multispectral Imagery Based on Data Acquired from ASD Spectral Curves
Sinesipho Fose, University of Fort Hare, South Africa; Adolph Nyamugama, Agricultural Research Council, South Africa; Naledzani Ndou, University of Fort Hare, South Africa
FRP1.PBB.10: Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data
Natacha Kalecinski, Sergii Skakun, University of Maryland, United States; Nathan Torbick, Xiaodong Huang, EOMRV, United States; Belen Franch, Universitat de Valencia, Spain; Jean-Claude Roger, University of Maryland, United States; Eric Vermote, NASA Goddard Space Flight Center, Code 619, United States
FRP1.PBB.11: 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
FRP1.PBB.12: MAPPING OF WEED MANAGEMENT METHODS IN ORCHARDS USING SENTINEL-2 AND PLANETSCOPE DATA
Ioannis Kontogiorgakis, Iason Tsardanidis, Dimitrios Bormpoudakis, Ilias Tsoumas, National Observatory of Athens, Greece; Dimitra Loka, Christos Noulas, Alexandros Tsitouras, Hellenic Agricultural Organization (ELGO), Greece; Charalampos Kontoes, National Observatory of Athens, Greece
Resources
No resources available.