Xianran Li

According to our database, Xianran Li authored at least 2 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep neural networks autonomously learn and utilize critical environmental conditions to capture the impacts of weather on spring wheat performance.

Ryan L. Benke, Linqian Han, Kimberly A. Garland-Campbell, Xianran Li

Comput. Electron. Agric., 2025

2023

Affordable High Throughput Field Detection of Wheat Stripe Rust Using Deep Learning with Semi-Automated Image Labeling.

Zhou Tang, Meinan Wang, Michael Schirrmann, Karl-Heinz Dammer, Xianran Li, Robert Brueggeman, Sindhuja Sankaran, Arron H. Carter, Michael O. Pumphrey, Yang Hu, Xianming Chen, Zhiwu Zhang

Comput. Electron. Agric., April, 2023