Subject
- Crop Science 47
- Agriculture 41
- Plant Pathology 34
- Botany 33
- Soil Science 13
- Geographic Information Systems (GIS) 4
Creator
- Wad D. Crochet 12
- Darrell Schulze, 0000-0001-9278-2457 9
- J.R. Wilcox 9
- Joshua Minai 9
- Mitchell Tuinstra, 0000-0002-5322-6519 9
- Gary Nowling 7
- Jeffrey J. Volenec, 0000-0002-5455-6157 7
- Sara Peel 7
- Stanislav Pejša, 0000-0001-5057-262X 7
- Sylvie M. Brouder, 0000-0002-7785-5336 7
Type
Date
Total is 104 Results
Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya
10.4231/4DBT-2W68
Darrell Schulze
,
Joshua Minai
11/18/2019
Enviromental covariate data used to develop a digital model that represents the landscape and environmental conditions of the Busia landscape.
Agronomy Busia Area Digital Soil Mapping Disaggregate Geographic Information Systems (GIS) Kenya Soil Land Rule-Based Approach
Busia Fuzzy Soil Class Map
10.4231/TDN8-PM14
Darrell Schulze
,
Joshua Minai
11/18/2019
Map based on the concept that soil classes can be spatially inferred from soil-related environmental conditions.
Agronomy Busia Area Digital Soil Mapping Fuzzy Membership Values Geographic Information Systems (GIS) Kenya SoLIM
Busia K-Means Cluster Map
10.4231/4Q9T-FT90
Darrell Schulze
,
Joshua Minai
11/18/2019
Map that mimics the geometry of 'fully developed slopes'.
Agronomy Geographic Information Systems (GIS) K-Means Clustering Multiresolution Ridgetop Flatness Multiresolution Valley Bottom Flatness Planform Curvature Profile Curvature Slope Position Terrain Attributes Topographic Position Index
Busia Land Quality Maps
10.4231/KYJ5-S732
Darrell Schulze
,
Joshua Minai
11/18/2019
Independent diagnostic criteria reflecting limitations for land use.
Agronomy Busia Area Decision Matrix Kenya Land Evaluation Key Map Unit
Principal Components for Stepwise Multiple Linear Regression
10.4231/0FGR-Z715
Darrell Schulze
,
Joshua Minai
11/18/2019
Independent predictor variables for stepwise multiple linear regression.
Agronomy Environmental Covariates PCA Raster Stack RStoolbox Package RStudio Soil-Landscape Modelling Stepwise Multiple linear Regression
Soil Property Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya
10.4231/00R1-HM25
Darrell Schulze
,
Joshua Minai
11/18/2019
Soil property data mined from the Reconnaissance Soil Survey of the Busia Area (quarter degree sheet No. 101) for digital soil mapping.
Agronomy Busia Area Digital Soil Mapping Equal Area Quadratic Smoothing Spline Function Kenya R ithir Package RStudio
Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020
10.4231/CTM1-0Y45
Eileen J Kladivko
,
Giorgi Chighladze
,
Laura C Bowling
,
Lori Abendroth
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.
Tile discharge, dissolved reactive phosphorus concentrations and loads for the WQFS (Water year 2011 – 2013).
10.4231/BJHE-3239
Jeffrey J. Volenec
,
Margaret Gitau
,
Nicole S. De Armond
,
Pauline Welikhe
,
Ronald F. Turco
,
Sylvie M. Brouder
11/24/2020
The data included here are for the WQFS tile discharge, DRP concentrations and loads for the Miscanthus x giganteus, continuous maize with residue removal, and switchgrass variety Shawnee treatments only.
Agronomy Dissolved reactive phosphorus P sink soils P source soils Phosphorus loss Tile discharge Water Quality water quality data Water Quality Field Station
R Pipeline for Calculation of APSIM Parameters and Generating the XML File
10.4231/69H7-CV75
Kai-Wei Yang
,
Mitchell Tuinstra
,
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
,
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
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Results 1 - 10 of 104