Datasets

subject: Corn 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 ORCID logo

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 ORCID logo , Giorgi Chighladze ORCID logo , Laura C Bowling ORCID logo , Lori Abendroth ORCID logo

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

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