A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction

17 November 2021

Papers citing "A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction"

5 / 5 papers shown

Title
On the Generalizability of Foundation Models for Crop Type Mapping Yi-Chia Chang Adam J. Stewart Favyen Bastani Piper Wolters Shreya Kannan George R. Huber Jingtong Wang Arindam Banerjee 36 1 0 14 Sep 2024
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems Shiyuan Luo Juntong Ni Shengyu Chen Runlong Yu Yiqun Xie Licheng Liu Zhenong Jin Huaxiu Yao Xiaowei Jia 36 8 0 17 Nov 2023
Neural networks for geospatial data Wentao Zhan A. Datta 18 11 0 18 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs Claire Robin C. Requena-Mesa V. Benson Lazaro Alonso Jeran Poehls Nuno Carvalhais Markus Reichstein AI4TS 27 12 0 24 Oct 2022