WE4.B2.1
A KNOWLEDGE-GUIDED DEEP LEARNING FRAMEWORK WITH REMOTELY SENSED VARIABLES AND METEOROLOGICAL VARIABLES FOR IMPROVING WHEAT YIELD ESTIMATION
Huiren Tian, Xi’an University of Science and Technology, China
Session:
WE4.B2: Advances in Yield and Production Estimation for Agricultural Policy and Food Security with Earth Observations II Oral
Track:
Community-Contributed Sessions
Location:
Room B2
Presentation Time:
Wednesday, 6 August, 15:45 - 16:00
Presentation
Discussion
Resources
No resources available.
Session WE4.B2
WE4.B2.1: A KNOWLEDGE-GUIDED DEEP LEARNING FRAMEWORK WITH REMOTELY SENSED VARIABLES AND METEOROLOGICAL VARIABLES FOR IMPROVING WHEAT YIELD ESTIMATION
Huiren Tian, Xi’an University of Science and Technology, China
WE4.B2.2: ATTENTION MECHANISM-BASED DEEP LEARNING APPROACH FOR WHEAT YIELD ESTIMATION AND UNCERTAINTY ANALYSIS FROM REMOTELY SENSED VARIABLES
Huiren Tian, Pengxin Wang, China Agricultural University, China; Kevin Tansey, University of Leicester, United Kingdom; Jie Wang, China Agricultural University, China; Wenting Quan, Shaanxi Provincial Meteorological Bureau, China; Junming Liu, China Agricultural University, China
WE4.B2.3: YieldFusion: Enhancing Yield Prediction with Transfer Learning
Anamika Dey, Somrita Sarkar, V. V. S. Sri Harsha, Chandranath Chatterjee, Indian Institute of Technology Kharagpur, India; Arijit Mondal, Indian Institute of Technology, Patna, India; Pabitra Mitra, Indian Institute of Technology Kharagpur, India
WE4.B2.4: THE ROLE OF PHENOLOGY IN CROP YIELD PREDICTION: COMPARISON OF GROUND-BASED PHENOLOGY AND REMOTELY SENSED PHENOLOGY
Jie Pei, Shaofeng Tan, Yaopeng Zou, Chunhua Liao, Sun Yat-sen University, China; Yinan He, Lawrence Berkeley National Laboratory, United States; Jian Wang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Huabing Huang, Tianxing Wang, Sun Yat-sen University, China; Haifeng Tian, Henan University, China; Huajun Fang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China; Li Wang, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Jianxi Huang, Southwest Jiaotong University, China
WE4.B2.5: Remote Sensing Driven Systematic Sample based Rice Yield Modeling for Inventory Estimation
Meenakshi Rawat, Varaprasad Bandaru, Sachin Velmurugan, USDA-ARS, United States; Bharath Irigireddy, USDA ARS, United States; Sravan Shrestha, ICIMOD, Nepal; Rohit Nandan, USDA-ARS, United States; Kevin Horn, NASA SERVIR, United States; Benjamin Zaitchik, Prakrut Kansara, Johns Hopkins, United States; Rajesh Thapa, ICIMOD, Nepal; Chet Bahadur Roka, Ministry of Agriculture and Livestock Development, Nepal
Resources
No resources available.