Subject
- Agriculture 121
- Soil Science 117
- Crop Science 95
- Agronomy 8
- Civil Engineering 2
Creator
- Craig S. T. Daughtry 46
- Marvin E. Bauer 34
- Larry L. Biehl, 0000-0002-2322-2445 9
- Mitchell Tuinstra, 0000-0002-5322-6519 5
- Barrett F. Robinson 4
- Kai-Wei Yang 4
- Scott Chapman 4
- Andrea Szilágyi Kishné 3
- Carlos R. Valenzuela 3
- Erika Csákiné Michéli 3
Type
- Dataset 133
Date
Total is 133 Results
Geospatial Image Data for Sorghum Phenotyping
10.4231/MY7W-FH43
Ayman F Habib, 0000-0001-6498-5951, Ed Delp, 0000-0002-2909-7323, Keith A Cherkauer, 0000-0002-6938-5303, Larry L. Biehl, 0000-0002-2322-2445, Melba M Crawford, Mitchell Tuinstra, 0000-0002-5322-6519
05/27/2021
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).
Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS
R Pipeline for Calculation of APSIM Parameters and Generating the XML File
10.4231/69H7-CV75
Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman
12/15/2020
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".
Agronomy APSIM Crop Growth Models APSIM Pipeline Remote Sensing
2018 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/KMK0-J993
Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman
12/15/2020
The model calibration step compares the APSIM simulated results with measured phenotypes in field trials. Parameter adjustments are reported in “SorghumXMLOutputUQ”.
2018 Sorghum Simulation Agronomy APSIM Crop Model Remote Sensing
2015 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/0NX5-RT34
Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman
12/15/2020
The APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2015 West Lafayette.
2015 Sorghum Crop Simulation Agronomy Biophysical crop models Remote Sensing
2017 West Lafayette Simulation of 18 Sorghum Hybrids
10.4231/6NW4-TB31
Kai-Wei Yang, Mitchell Tuinstra, 0000-0002-5322-6519, Scott Chapman
12/15/2020
The calibrated APSIM models from 2018 West Lafayette were validated by comparing simulated and observed results of experiments conducted in 2017 West Lafayette.
2017 Sorghum simulation Agronomy APSIM Crop Model Remote Sensing
HTP-Soy: An Aerial Image Set of Multi-category Soybean for High-Throughput Phenotyping (HTP)
10.4231/ZAD3-MG98
Beichen Lyu, Katy Rainey, 0000-0001-8541-5851, Keith Cherkauer, 0000-0002-6938-5303, Stuart D Smith
01/06/2020
The publication “HTP-Soy” contains 1,728 aerial images of soybean plots in the field and each image is categorized based on spatial, temporal, and genetic variations. Data is made available to encourage development of HTP applications.
Agricultural and Biological Engineering Computer Vision High-throughput Phenotyping Image Dataset Indiana Plant Breeding Remote Sensing Soybean Unmanned Aerial Systems
Spectral Separability of Wheat and Other Cover Crops in North Dakota (771215)
10.4231/R79P2ZK9
04/21/2015
The purpose of this experiment is to determine the spectral separability of spring wheat and other cover types common to western North Dakota.
Agriculture Crop Science Crops Exotech 100 Exotech 20C-SW LARS radiometer Remote Sensing soil Soil Science solar illumination spectral observations spectrometer winter wheat
Small Grains North Dakota (771212)
10.4231/R7TM7825
04/21/2015
The objective of this experiment is to determine if various small grains can be discriminated from each other based on their spectral reflectance.
Agriculture barley Crop Science Crops durum Exotech 100 Exotech 20C-SW LARS oats radiometer Remote Sensing Soil Science solar illumination spectral observations spectrometer spring wheat
Spring Wheat North Dakota (771213)
10.4231/R7K64G1R
04/21/2015
The objective of this factorial experiment was to quantify the effects on spectral response of the major variables affecting wheat growth, development and yield.
Agriculture Crop Science Crops Exotech 100 Exotech 20C-SW LARS radiometer Remote Sensing Soil Science solar illumination spectral observations spectrometer spring wheat
Spring Wheat Sun/View Angle (761216)
10.4231/R77P8WB0
04/30/2015
The purpose of this experiment is to characterize a spring wheat canopy by its reflectance at various view and illumination angles and by its physical and agronomic attributes.
Agriculture Crop Science Crops Exotech 20C-SW LARS Remote Sensing Soil Science solar illumination spectral observations spectrometer spring wheat
Display #
Results 1 - 10 of 133