4 papers
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…
Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
Daoyuan Jin, Nick Gunner, Niko Carvajal Janke +3
Modern plant science increasingly relies on large, heterogeneous datasets, but challenges in experimental design, data preprocessing, and reproducibility hinder research throughput…
Assessing Long-Distance Atmospheric Transport of Soilborne Plant Pathogens
Hannah Brodsky, Rocío Calderón, Douglas S. Hamilton +6
Pathogenic fungi are a leading cause of crop disease and primarily spread through microscopic, durable spores adapted differentially for both persistence and dispersal. Computation…
Vision-based Vineyard Navigation Solution with Automatic Annotation
Ertai Liu, Josephine Monica, Kaitlin Gold +3
Autonomous navigation is the key to achieving the full automation of agricultural research and production management (e.g., disease management and yield prediction) using agricultu…