10.4231/R75H7D74
07/22/2015
The purpose of this experiment was to investigate the effects of disease (rust) on the spectral response of winter wheat.
Agriculture Crop Science Crops Exotech 20C-SW LARS Remote Sensing Soil Science solar illumination spectral observations spectrometer winter wheat
10.4231/R71R6NGZ
07/22/2015
Spectral observations of farm soybean varieties
Agriculture Barnes 12-1000 Crop Science Crops Exotech 100 LARS radiometer Remote Sensing Soil Science solar illumination Soybeans spectral observations
10.4231/R7X0650C
07/22/2015
Spectral observations of the farm sunflower cultural practices
Agriculture Barnes 12-1000 Crop Science Crops Exotech 100 LARS radiometer Remote Sensing Soil Science solar illumination spectral observations Sunflower
10.4231/R7HQ3WVN
07/22/2015
Spectral observations of Pierre Adrien
Agriculture Crop Science Exotech 20C-SW GE-DXW Lamp illumination LARS Remote Sensing Soil Science soils spectral observations spectrometer
10.4231/R78913TM
07/22/2015
The purpose of this experiment is to characterize a corn field by its reflectance at various view and illumination angles and by its physical and agronomic attributes.
Agriculture Barnes 12-1000 Corn Crop Science Crops LARS radiometer Remote Sensing Soil Science solar illumination spectral observations
10.4231/R70R9MBK
07/22/2015
Spectral observations of the farm soybean cultural practices
Agriculture Barnes 12-1000 Crop Science Crops Exotech 100 LARS radiometer Remote Sensing soil Soil Science solar illumination Soybeans spectral observations
10.4231/FPHP-0153
Meng-yang Lin
,
Mitchell R Tuinstra
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
10.4231/RF5H-C895
02/07/2023
Density surface modelling of intraspecific classes using camera-trap-distance-sampling data and hierarchical generalized additive modelling.
abundance deer density surface modelling Forestry and Natural Resources generalized additive model precision recruitment Remote Sensing ungulate
10.4231/PF9S-4G38
Mitchell R Tuinstra
,
Seth A Tolley
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
10.4231/ZAD3-MG98
Beichen Lyu
,
Katy Rainey
,
Keith Cherkauer
,
Stuart D Smith
01/06/2020
The publication “HTP-Soy” contains 1,728 aerial images of soybean plots in the field and each image is categorized based on spatial, temporal, and genetic variations. Data is made available to encourage development of HTP applications.
Agricultural and Biological Engineering Computer Vision High-throughput Phenotyping Image Dataset Indiana Plant Breeding Remote Sensing Soybean Unmanned Aerial Systems
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