Subject
- Agronomy 2
Creator
- Eileen J Kladivko, 0000-0002-8993-2722 1
- Giorgi Chighladze, 0000-0002-7819-0508 1
- Laura C Bowling, 0000-0002-1439-3154 1
- Lori Abendroth, 0000-0002-0176-7815 1
- Meng-yang Lin 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
Type
- Dataset 2
Date
- 2022 2
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
Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020
10.4231/CTM1-0Y45
Eileen J Kladivko
,
Giorgi Chighladze
,
Laura C Bowling
,
Lori Abendroth
12/16/2022
This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.
Display #
Results 1 - 2 of 2