THP1.PD.3
RICE YIELD FORECAST USING A GNN-RNN FRAMEWORK
Chao Zhang, Chen Zhao, Xiaogang He, National University of Singapore, Singapore
Session:
THP1.PD: AG: Crop Monitoring, Crop Models Poster
Track:
Land Applications
Location:
Poster Area
Presentation Time:
Thursday, 7 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session THP1.PD
THP1.PD.1: A KNOWLEDGE-INFORMED TRANSFORMER FOR CROP YIELD ESTIMATION INTEGRATING CROP GROWTH MODELS AND REMOTE SENSING
Ruixin Fang, Wuhan University, China; Lei Yu, Ant Group, China; Nan Xie, Kexin Wang, Wuhan University, China; Liheng Zhong, Jingdong Chen, Ant Group, China; Zhaocong Wu, Wuhan University, China
THP1.PD.2: GKANS-KNN: ENHANCING CROP RECOMMENDATIONS WITH DEEP LEARNING
Somrita Sarkar, Sadique Amin, Anamika Dey, Chandranath Chatterjee, Pabitra Mitra, Indian Institute of Technology Kharagpur, India
THP1.PD.3: RICE YIELD FORECAST USING A GNN-RNN FRAMEWORK
Chao Zhang, Chen Zhao, Xiaogang He, National University of Singapore, Singapore
THP1.PD.4: Challenges and recommendations for leveraging remote sensing for crop monitoring
Filippo Sarvia, Abdullah Barhy, Federica Chiozza, Ameni Khatteli, Food and Agriculture Organization of the United Nations, Italy; Anis Bousselmi, Institut National des Grandes Cultures Tunis, Tunisia; Matieu Henry, Dario Spiller, Gizem Senel, Gautam Dadhich, Food and Agriculture Organization of the United Nations, Italy; Andries Potgieter, The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Australia; José Bofana, Catholic University of Mozambique, Faculty of Agronomic Sciences, Mozambique; Abdourahman Maki, Livia Peiser, Food and Agriculture Organization of the United Nations, Tunisia
Resources
No resources available.