Subject
- Agronomy 1
Creator
- Ayman F Habib, 0000-0001-6498-5951 1
- Ed Delp, 0000-0002-2909-7323 1
- Keith A Cherkauer, 0000-0002-6938-5303 1
- Larry L. Biehl, 0000-0002-2322-2445 1
- Melba M Crawford 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
- Mitchell Tuinstra, 0000-0002-5322-6519 1
- Seth A Tolley, 0000-0001-9664-3534 1
Type
- Dataset 2
Date
subject: Sorghum subject: hyperspectral
Total is 2 Results
Row Selection in Remote Sensing for Maize and Sorghum
10.4231/PF9S-4G38
Mitchell R Tuinstra
,
Seth A Tolley
07/26/2023
Remote sensing data evaluates all row segments of a plot, but the repeatability of traits from different row segments has not been evaluated. We evaluated which row segments provide the best repeatability and yield prediction of remote sensing traits.
Border effect High-throughput Phenotyping hyperspectral LiDAR Maize Plot trimming Predictive modelling Remote Sensing RGB Sorghum UAV
Geospatial Image Data for Sorghum Phenotyping
10.4231/MY7W-FH43
Ayman F Habib
,
Ed Delp
,
Keith A Cherkauer
,
Larry L. Biehl
,
Melba M Crawford
,
Mitchell Tuinstra
05/27/2021
This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).
Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS
Display #
Results 1 - 2 of 2