Subject
- Agriculture 121
- Soil Science 117
- Crop Science 95
- Agronomy 8
- Civil Engineering 2
Creator
- Craig S. T. Daughtry 46
- Marvin E. Bauer 34
- Larry L. Biehl, 0000-0002-2322-2445 9
- Mitchell Tuinstra, 0000-0002-5322-6519 5
- Barrett F. Robinson 4
- Kai-Wei Yang 4
- Scott Chapman 4
- Andrea Szilágyi Kishné 3
- Carlos R. Valenzuela 3
- Erika Csákiné Michéli 3
Type
- Dataset 133
Date
subject: Remote Sensing type: dataset
Total is 133 Results
Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling
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
Modeling density surfaces of intraspecific classes using camera-trap distance sampling
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
Row Selection in Remote Sensing for Maize and Sorghum
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
Display #
Results 1 - 10 of 133