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
- Meng-yang Lin 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
- Mitchell Tuinstra, 0000-0002-5322-6519 1
Type
- Dataset 2
Date
subject: Agronomy subject: Remote Sensing subject: Sorghum
Total is 2 Results
Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling
10.4231/FPHP-0153
Meng-yang Lin
,
Mitchell R Tuinstra
02/11/2022
High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.
Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum
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