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  1. 2015 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:51:54 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/0NX5-RT34

    The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.

    https://purr.purdue.edu/publications/3659

  2. 2017 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:52:24 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/6NW4-TB31

    The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.

    https://purr.purdue.edu/publications/3661

  3. 2018 West Lafayette Simulation of 18 Sorghum Hybrids

    2020-12-15 18:50:33 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/KMK0-J993

    The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.

    https://purr.purdue.edu/publications/3658

  4. Geospatial Image Data for Sorghum Phenotyping

    2021-05-27 17:21:31 | Datasets | Contributor(s): Mitchell Tuinstra, Melba M Crawford, Ed Delp, Ayman F Habib, Keith A Cherkauer, Larry L. Biehl | doi:10.4231/MY7W-FH43

    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).

    https://purr.purdue.edu/publications/3167

  5. Kathleen Latz Soils Study (801901 and 801902)

    2015-05-05 14:36:09 | Datasets | Contributor(s): Kathleen Latz | doi:10.4231/R7G73BMR

    Kathy Latz Soils Study

    https://purr.purdue.edu/publications/1793

  6. Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

    2022-02-11 15:07:23 | Datasets | Contributor(s): Meng-yang Lin, Mitchell R Tuinstra | doi:10.4231/FPHP-0153

    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.

    https://purr.purdue.edu/publications/3958

  7. Purdue Agronomy Farm Calibration (781806)

    2015-05-04 20:10:52 | Datasets | Contributor(s): Craig S. T. Daughtry | doi:10.4231/R76T0JK1

    Calibration data

    https://purr.purdue.edu/publications/1827

  8. R Pipeline for Calculation of APSIM Parameters and Generating the XML File

    2020-12-15 18:49:32 | Datasets | Contributor(s): Kai-Wei Yang, Scott Chapman, Mitchell Tuinstra | doi:10.4231/69H7-CV75

    A pipeline to generate the XML parameter file for APSIM was developed in R. The files and R codes are reported in "R Pipeline for Calculation of APSIM Parameters and Generating the XML File".

    https://purr.purdue.edu/publications/3657

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