Datasets

subject: Sorghum

Total is 20 Results
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

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 Sorghum Polarization (846401)

10.4231/R7PC309T

Vern C. Vanderbilt

07/28/2015

The purpose of this experiment is to characterize the polarization of a sorghum field at various view and illumination angles and by its physical and agronomic attributes.

Agriculture Barnes 12-1000 Crop Science Crops LARS radiometer Soil Science solar illumination Sorghum

Row Selection in Remote Sensing for Maize and Sorghum

10.4231/PF9S-4G38

Mitchell R Tuinstra ORCID logo , Seth A Tolley ORCID logo

07/26/2023

Remote sensing data evaluates all row segments of a plot, but the repeatability of traits from different row segments has not been evaluated. We evaluated which row segments provide the best repeatability and yield prediction of remote sensing traits.

Border effect High-throughput Phenotyping hyperspectral LiDAR Maize Plot trimming Predictive modelling Remote Sensing RGB Sorghum UAV

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