TU3.R14.3
Geometry-Aware Semi-Supervised Learning for Crop Mapping on Heterogeneous Landscapes
Priyanka Goyal, Adway Mitra, Indian Institute of Technology Kharagpur, India; Manjira Sinha, Tata Consultancy Services Research, India
Session:
TU3.R14: Agriculture: Precision Mapping & Nutrient Analysis III Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Tue, 11 Aug, 14:15 - 14:30
Presentation
Discussion
Resources
No resources available.
Session TU3.R14
TU3.R14.1: Phenology-Aware Wheat Yield Mapping with Uncertainty Estimates Using Multi-Sensor Remote Sensing
Priyanka Goyal, Adway Mitra, Indian Institute of Technology Kharagpur, India; Manjira Sinha, Tata Consultancy Services Research, India
TU3.R14.2: Multiscale Nitrogen Mapping in Canola and Wheat Using Multispectral UAV and Satellite Imaging
Amir Chegoonian, Keshav Singh, Charles Geddes, Agriculture and Agri-Food Canada (AAFC), Canada; Christian Hansen, Deere & Company, Canada; Hongquan Wang, Agriculture and Agri-Food Canada (AAFC), Canada
TU3.R14.3: Geometry-Aware Semi-Supervised Learning for Crop Mapping on Heterogeneous Landscapes
Priyanka Goyal, Adway Mitra, Indian Institute of Technology Kharagpur, India; Manjira Sinha, Tata Consultancy Services Research, India
TU3.R14.4: PADDY RICE IDENTIFICATION BASED ON SATELLITE EMBEDDING AND MULTIPLE MACHINE LEARNING ALGORITHMS
Shuaifeng Peng, Shihua Li, Fugui Luo, Minghui Chang, Jie Bai, Jiayu Zhu, Xiaoyu Xiao, Jingliang Jia, University of Electronic Science and Technology of China, China
TU3.R14.5: ACCURATE VINEYARD PLOT SEGMENTATION USING UAV RGB IMAGERY AND DEEP NEURAL NETWORKS
Danilo Leite, Luís Pádua, Pedro Marques, Joaquim J. Sousa, Raul Morais, António Cunha, University of Trás-os-Montes and Alto Douro, Portugal
Contacts