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
Total is 133 Results
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
HTP-Soy: An Aerial Image Set of Multi-category Soybean for High-Throughput Phenotyping (HTP)
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
Geospatial Image Data for Sorghum Phenotyping
10.4231/MY7W-FH43
Ayman F Habib
,
Ed Delp
,
Keith A Cherkauer
,
Larry L. Biehl
,
Melba M Crawford
,
Mitchell Tuinstra
05/27/2021
This publication includes sample rgb and hyperspectral image data collected in 2018 by unmanned aerial systems for a Sorghum Phenotying and Trait Analysis project being conducted at Purdue's Agronomy Center for Research and Education (ACRE).
Agronomy hyperspectral Phenotyping Remote Sensing Sorghum UAS
Display #
Results 1 - 10 of 133