Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 1 Similar Profiles
blueberries
Agriculture & Biology
Fruits
Engineering & Materials Science
hyperspectral imagery
Agriculture & Biology
image analysis
Agriculture & Biology
Greenhouses
Engineering & Materials Science
fruits
Agriculture & Biology
leaves
Agriculture & Biology
reflectance
Agriculture & Biology
Network
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Projects 2018 2020
- 2 Active
Integration of real-time crop N stress sensing and crop modeling for precision management of N fertilizer and improvement of water quality.
Mulla, D. J., Miao, Y. & Yang, C.
3/14/19 → 3/31/20
Project: Research project
nitrogen fertilizers
water quality
crops
Color and spectral imaging for High-throughput Phenotyping to Assess Fusarium Head Blight Severity
USDA AGRICULTURAL RESEARCH SERVICE
9/1/18 → 8/31/20
Project: Research project
Fusarium head blight
image analysis
phenotype
color
Research Output 2009 2019
Computing uncertainty in the optimum nitrogen rate using a generalized cost function
Nigon, T. J., Yang, C., Mulla, D. J. & Kaiser, D. E., Dec 2019, In : Computers and Electronics in Agriculture. 167, 105030.Research output: Contribution to journal › Article
Cost functions
uncertainty
Nitrogen
Economics
nitrogen
Selecting informative spectral bands using machine learning techniques to detect Fusarium head blight in wheat
Moghimi, A., Yang, C., Anderson, J. A. & Reynolds, S. K., Jan 1 2019.Research output: Contribution to conference › Paper
Fusarium head blight
artificial intelligence
Learning systems
inflorescences
wheat
7
Citations
(Scopus)
A novel approach to assess salt stress tolerance in wheat using hyperspectral imaging
Moghimi, A., Yang, C., Miller, M. E., Kianian, S. F. & Marchetto, P. M., Jan 1 2018, In : Asian Journal of Pharmaceutical and Clinical Research. 9, 1182.Research output: Contribution to journal › Article
Salt-Tolerance
Triticum
Salts
Hydroponics
Salinity
Canopy center and plant quantity detection of sugarcane based on aerial visible images
Wang, L., Li, X., Wang, C., Zhou, Y., Yang, C. & Ai, J., Jan 1 2018.Research output: Contribution to conference › Paper
sugarcane
canopy
Antennas
Deburring
Binary images
6
Citations
(Scopus)
Ensemble Feature Selection for Plant Phenotyping: A Journey from Hyperspectral to Multispectral Imaging
Moghimi, A., Yang, C. & Marchetto, P. M., Jan 1 2018, In : IEEE Access. 6, p. 56870-56884 15 p., 8479334.Research output: Contribution to journal › Article
Feature extraction
Imaging techniques
Salts
Support vector machines
Pixels
Datasets
Hyperspectral image dataset for salt stress phenotyping of wheat
Moghimi, A., Yang, C., Data Repository for the University of Minnesota, 2018
DOI: 10.13020/D69Q3K, https://doi.org/10.13020/D69Q3K
Dataset