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.
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
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 2020
Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls
Mahdavian, A., Minaei, S., Yang, C., Almasganj, F., Rahimi, S. & Marchetto, P. M., Jan 2020, In : Computers and Electronics in Agriculture. 168, 105100.Research output: Contribution to journal › Article
Open Access
Bioacoustics
bioacoustics
Poultry
Birds
poultry
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
1
Citation
(Scopus)
Detection of Fusarium Head Blight in wheat using a deep neural network and color imaging
Qiu, R., Yang, C., Moghimi, A., Zhang, M., Steffenson, B. J. & Hirsch, C. D., Nov 1 2019, In : Remote Sensing. 11, 22, 2658.Research output: Contribution to journal › Article
Open Access
wheat
learning
pathogen
germplasm
image processing
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
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