Subject
- Agriculture 1
- Agronomy 1
- Botany 1
- Crop Science 1
- Plant Pathology 1
Creator
- Andres P. Cruz 2
- Brenden Lane 2
- Carlos Gongora-Canul 2
- Christian D. Cruz 2
- Da-Young Lee 2
- Darcy E. P. Telenko 2
- Dong-Yeop Na 2
- Edward J. Delp 2
- Nathan M. Kleczewski 2
- Sriram Baireddy 2
Type
- Dataset 4
Date
subject: Botany and Plant Pathology type: dataset
Total is 4 Results
Wheat spike blast image classification using deep convolutional neural networks
10.4231/P0Y7-3428
Carlos Gongora, Christian D Cruz, Darcy Telenko, Jian Jin, Mariela Fernandez-Campos, Mohammad Jahanshahi, Tao Wang, Yuting Huang
04/30/2021
-Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. Current estimations of wheat spike blast severity rely on human assessments, but this technique can have limitations. -Reliable visual disease esti...
Blast Botany and Plant Pathology CNN deep learning disease Magnaporthe oryzae plant disease phenotyping Plant phenotyping Python Wheat wheat blast
Contour-based detection and quantification of tar spot stromata using RGB images of maize leaves
10.4231/A5B3-XV27
Andres P. Cruz, Brenden Lane, Carlos Gongora-Canul, Christian D. Cruz, Da-Young Lee, Darcy E. P. Telenko, Dong-Yeop Na, Edward J. Delp, Nathan M. Kleczewski, Sriram Baireddy
06/30/2021
Quantifying tar spot of corn intensity has traditionally been conducted by human raters through visual-based estimations. However, this traditional method is costly in terms of time and labor and prone to rater subjectivity. Furthermore, an objective, accu...
Botany and Plant Pathology contour analysis image maize RGB imagery plant disease intensity RGB image dataset stromata detection and quantification
Contour-based detection and quantification of tar spot stromata using RGB images of maize leaves
10.4231/SCQM-M479
Andres P. Cruz, Brenden Lane, Carlos Gongora-Canul, Christian D. Cruz, Da-Young Lee, Darcy E. P. Telenko, Dong-Yeop Na, Edward J. Delp, Mariela Fernández-Campos, Nathan M. Kleczewski, Sriram Baireddy, Stephen Goodwin
08/10/2021
Quantifying tar spot of corn intensity has traditionally been conducted by human raters through visual-based estimations. However, this traditional method is costly in terms of time and labor and prone to rater subjectivity. Furthermore, an objective, accu...
Botany and Plant Pathology emerging epidemic plant disease phenotyping stromata detection and quantification tar spot of corn temporal analysis
Uniform Soybean Tests Northern Region 2020
10.4231/ZWFR-8Y15
Adam Nicholas Brock, Guohong Cai
05/09/2022
The Uniform Soybean Tests, Northern Region, have been in place since 1941. The tests evaluate yield, disease resistance, and quality traits of public breeding lines from northern states of the U.S. and Canadian provinces. The purpose of The Uniform Soybean...
Agriculture Agronomy Botany Botany and Plant Pathology Crop Science Plant Pathology Soybeans USDA-ARS
Display #
Results 1 - 4 of 4