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cs.HC2026
Evaluating human-AI workflows for field research in viticulture
Niko Carvajal Janke, Daoyuan Jin, Shivranjani Baruah +4
We assessed the value of two live human-AI interactions in a precision disease control project in California vineyards. The project tested whether 2021-2024 commercial scouting rec…
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…