Ce Yang

Assistant Professor, Bioproducts and Biosystems Engineering

Research output per year

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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.

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

1 Finished
4 Active

Multi-Level Remote Sensing for High-Throughput Phenotyping of Stem Rust Disease
Yang, C.
USDA AGRICULTURAL RESEARCH SERVICE
7/1/20 → 6/30/21
Project: Research project
Realtime Field Scab Assessment with Color and Spectral Imaging Systems on a Phenocart
Yang, C., Steffenson, B. J. & Su, W.
USDA AGRICULTURAL RESEARCH SERVICE
5/15/20 → 5/14/21
Project: Research project
NRI: INT: COLLAB: Cooperative Robot Teams for Precision Agriculture and Plant Health Management
Papanikolopoulos, N. P., Kaiser, D., Marchetto, P. M., Mulla, D. J. & Yang, C.
USDA Nat'l Inst. of Food & Agriculture
5/1/20 → 4/30/23
Project: Research project
Color and spectral imaging for High-throughput Phenotyping to Assess Fusarium Head Blight Severity
Yang, C.
USDA AGRICULTURAL RESEARCH SERVICE
9/1/18 → 2/28/21
Project: Research project
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.
MN DEPARTMENT OF AGRICULTURE
3/14/19 → 3/31/20
Project: Research project

14 Article
10 Conference contribution
3 Paper
1 Conference article
1 More
- 1 Review article

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 › peer-review

Open Access
1 Scopus citations
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
Moghimi, A., Yang, C. & Anderson, J. A., May 2020, In : Computers and Electronics in Agriculture. 172, 105299.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations
A review on plant high-throughput phenotyping traits using UAV-based sensors
Xie, C. & Yang, C., Nov 2020, In : Computers and Electronics in Agriculture. 178, 105731.
Research output: Contribution to journal › Review article › peer-review
Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening
Su, W. H., Yang, C., Dong, Y., Johnson, R., Page, R., Szinyei, T., Hirsch, C. D. & Steffenson, B. J., 2020, (Accepted/In press) In : Food Chemistry. 128507.
Research output: Contribution to journal › Article › peer-review
Prediction of early season nitrogen uptake in maize using high-resolution aerial hyperspectral imagery
Nigon, T. J., Yang, C., Paiao, G. D., Mulla, D. J., Knight, J. F. & Fernández, F. G., Apr 1 2020, In : Remote Sensing. 12, 8, 1234.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations

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