8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.CR2026
Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture
Shuangyu Lei, Muhammad Salman Abid, Jacob Belding +17
Artificial Intelligence has shown to help improve agricultural practices, yet adoption remains limited: 69% of U.S. farmers have privacy concerns with sharing their data, and these…
cs.LG2020★ 8 cited
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
Hannah Kerner, Ritvik Sahajpal, Sergii Skakun +5
Crop type classification using satellite observations is an important tool for providing insights about planted area and enabling estimates of crop condition and yield, especially…