2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
Joshua Fan, Di Chen, Jiaming Wen +2
Monitoring vegetation productivity at extremely fine resolutions is valuable for real-world agricultural applications, such as detecting crop stress and providing early warning of…
cs.LG2021★ 2 cited
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Joshua Fan, Junwen Bai, Zhiyun Li +2
Climate change is posing new challenges to crop-related concerns including food insecurity, supply stability and economic planning. As one of the central challenges, crop yield pre…