Datasets

subject: Corn subject: Remote Sensing

Total is 30 Results
North Dakota Intensive Test Site 0817 (811247)

10.4231/R7PG1PP9

Marvin E. Bauer

07/22/2015

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 barley Corn Crop Science Crops durum wheat FSS LARS oats Remote Sensing Soil Science solar illumination Soybeans spectral observations spring wheat sugar beets Sunflower

Kansas Intensive Test Site 1988 (771207)

10.4231/R7XG9P2F

Marvin E. Bauer

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

Marvin E. Bauer

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

South Dakota Intensive Test Site 1687 (761227)

10.4231/R70C4SPF

Marvin E. Bauer

04/15/2015

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 barley Corn Crop Science Crops FSS Grass LARS oats Remote Sensing soil Soil Science solar illumination spectral observations spectrometer spring wheat winter wheat

South Dakota Intensive Test Site 1687 (771227)

10.4231/R7VM496J

Marvin E. Bauer

04/15/2015

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 barley Corn Crop Science Crops Flax FSS Grass LARS oats Remote Sensing rye soil Soil Science solar illumination spectral observations spectrometer spring wheat trees winter wheat

Purdue Agronomy Farm Soil Background (781807)

10.4231/R78P5XFX

Craig S. T. Daughtry

04/22/2015

The purpose of this experiment was to examine the effects of soil background (soil moisture) on the spectral response of corn.

Agriculture Corn Crop Science Crops Exotech 20C-SW LARS Remote Sensing Soil Science solar illumination spectral observations spectrometer

Kansas Intensive Test Site 1960 (751207)

10.4231/R7P26W11

Marvin E. Bauer

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

Purdue Agronomy Farm Soybean, Potassium, and Phosphorous (781804)

10.4231/R75X26VZ

Craig S. T. Daughtry

04/21/2015

The purpose of this experiment was to examine the effects of different levels of soil phosphorous and potassium on the reflectance and radiant temperatures of soybeans.

Agriculture Corn Crop Science Crops Exotech 100 Exotech 20C-SW LARS radiometer Remote Sensing Soil Science solar illumination spectral observations spectrometer

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

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra ORCID logo

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

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