Datasets

subject: Agronomy

Total is 104 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

Uniform Soybean Tests Northern Region 2018

10.4231/6MHS-FZ56

Gary Nowling, Guohong Cai

05/01/2019

This dataset contains tables prepared for the 2018 Uniform Soybean Tests Northern Region Report.

Agriculture Agronomy Botany Crop Science Soybeans USDA-ARS

Potential Suitability for Subirrigation in the U.S. Midwest

10.4231/10ES-AH67

Benjamin Reinhart, 0000-0003-1649-3762, Feng Yu, 0000-0002-6505-2288, Jane Frankenberger, 0000-0002-2781-0041, Jason Ackerson, 0000-0001-8123-0200

11/08/2019

This series provides shapefiles showing the potential suitability, and limiting factors, for subirrigation in the U.S. Midwest based on gSSURGO soil data from the Natural Resources Conservation Service (NRCS).

Agricultural and Biological Engineering Agriculture Agronomy Drainage Geographic Information Systems (GIS) gSSURGO Irrigation Midwest Subirrigation Water Water Management

Environmental Covariate Data for Spatial Prediction of Soil Properties for the Busia Area, Kenya

10.4231/7F9R-4W74

Darrell Schulze, 0000-0001-9278-2457, Joshua Minai

11/18/2019

Environmental covariates were carefully selected to represent factors of soil formation: climate, relief, organisms, and time.

Agronomy Busia Area Environmental Covariates Kenya Landsat Terrain Attributes WorldClim

Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya

10.4231/4DBT-2W68

Darrell Schulze, 0000-0001-9278-2457, 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

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