1. Quantifying time-series of leaf morphology using 2D and 3D photogrammetry methods for high-throughput plant phenotyping;An;Comput. Electron. Agric.,2017
2. Barker, T. C., 2002. Inbred maize line PH4CV. Family ID:34594309. Appl.No.:10/271942. Assignee: Pioneer Hi-Bred International, Inc. https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=6897363.PN.&OS=PN/6897363&RS=PN/6897363.
3. Point cloud skeletons via Laplacian based contraction;Cao,2010
4. Yielding to the image: How phenotyping reproductive growth can assist crop improvement and production;Dreccer;Plant Sci.,2018
5. LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status;Eitel;F. Crop. Res.,2014