Datasets

subject: Corn type: dataset date: 2022

Total is 2 Results
Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin, Mitchell R Tuinstra, 0000-0002-5322-6519

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, 0000-0002-8993-2722, Giorgi Chighladze, 0000-0002-7819-0508, Laura C Bowling, 0000-0002-1439-3154, Lori Abendroth, 0000-0002-0176-7815

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.

Agronomy Corn Crop yield Drainage Indiana

Display #

Results 1 - 2 of 2