UNL Plant Vision
@unlplantvision
ID: 806882426018373633
http://plantvision.unl.edu 08-12-2016 15:25:36
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Voxel carving‐based 3D reconstruction of sorghum identifies genetic determinants of light interception efficiency onlinelibrary.wiley.com/doi/full/10.10… @wileyplantsci James Schnable #sorghum #phenotyping
Profs. Xu, Qiu, and Schnable receive the 2020 outstanding paper award from The Plant Phenome Journal. UNL Ag Research UNLBigData UNL PSI Nebraska Agronomy and Horticulture
Michael Tross (Michael Tross) is presenting his posting on GWAS for leaf angle in sorghum using 3D reconstructions generated by the Benes lab at Purdue on the main video feed #NAPPN2021 at 10:20 central. Check it out!
Interested in hyperspectral imaging, check our latest tool (HyperSeed) to process hyperspec images of seed: mdpi.com/1424-8220/21/2… Nebraska Agronomy and Horticulture Nebraska Research Harkamal Walia
Using autoencoder neural networks to reduce dimensionality leads to better correlation to phenotypes than traditional PCA. Really cool work from Michael Tross using hyperspectral data and gwas for trait quantification in Maize #NAPPN22 #NAPPN2022
Congratulations Ian Ian Stavness! 2022 Winner of the North American Plant Phenotyping Network early career award. #NAPPN22
Deniz, Isabel, Alliance, and Cole demonstrate how much information they can extract from a single corn or sorghum leaf using UNL Plant Phenomics equipment.
Congratulations, Nuwan Wijewardane! An alumni of CRRI PI Yufeng Ge's lab now training students and postdocs himself at Mississippi State. Nebraska Biological Systems Engineering UNL PSI UNL Plant Phenomics UNLBigData
Our corn is already past ankle height, which means it is time to set up our ground control points and launch the first drone flights of 2022. A big thank you to our collaborators in UNL Plant Phenomics. (Photo by Michael Tross).
That landing = more and more data. Schnable Lab
I always so thankful to be able to learn from such a talented group of people in Schnable Lab Even though the days were long/cold, the ability to get this great of hands on experience in the roots of agricultural data science has been amazing opportunity I’ve been lucky to have!