subject: Corn type: dataset date: 2022
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
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.
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