Subject
- Agriculture 3
- Crop Science 3
- Soil Science 3
- Agronomy 2
Creator
- Marvin E. Bauer 3
- Darrell Schulze, 0000-0001-9278-2457 1
- Joshua Minai 1
- Meng-yang Lin 1
- Mitchell R Tuinstra, 0000-0002-5322-6519 1
Type
- Dataset 5
Date
subject: Corn subject: Sorghum type: dataset
Total is 5 Results
Kansas Intensive Test Site 1960 (751207)
10.4231/R7P26W11
04/14/2015
The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from conrtolled experimental plots at field research stations and data collection by satellite scanners.
Agriculture Alfalfa Corn Crop Science Crops FSS Grass LARS Remote Sensing soil Soil Science solar illumination Sorghum Soybeans spectral observations spectrometer winter wheat
Busia Crop Suitability Maps
10.4231/VA77-JB85
Darrell Schulze, 0000-0001-9278-2457, Joshua Minai
11/18/2019
These are suitability classes defining the requirements for various crops/ land use types.
Agronomy Beans Busia Area Cabbage Cassava Coffee Corn Cotton Crop Suitability Map Decision Matrix Forage Crops Grazing Guavas Kale Kenya Land Suitability Map Unit Millets Onions Peanuts Rice Sorghum Sugarcane Sunflower Tomato
Kansas Intensive Test Site 1988 (771207)
10.4231/R7XG9P2F
04/21/2015
The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners.
Agriculture Corn Crop Science Crops FSS LARS Remote Sensing soil Soil Science solar illumination Sorghum Soybeans spectral observations spectrometer winter wheat
Kansas Intensive Test Site 1988 (761207)
10.4231/R7251G4Z
04/21/2015
The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners.
Agriculture Alfalfa Corn Crop Science Crops FSS Grass LARS Remote Sensing soil Soil Science solar illumination Sorghum Soybeans spectral observations spectrometer winter wheat
Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling
10.4231/FPHP-0153
Meng-yang Lin, Mitchell R Tuinstra, 0000-0002-5322-6519
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
Display #
Results 1 - 5 of 5