Projects per year
Personal profile
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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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.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Hyper spectral imaging systems for simultaneous in-line monitoring of functional properties and temperature history of milk powders
1/1/21 → 12/31/21
Project: Research project
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Multi-Level Remote Sensing for High-Throughput Phenotyping of Stem Rust Disease
USDA AGRICULTURAL RESEARCH SERVICE
7/1/20 → 6/30/22
Project: Research project
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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
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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
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Acoustic features of vocalization signal in poultry health monitoring
Mahdavian, A., Minaei, S., Marchetto, P. M., Almasganj, F., Rahimi, S. & Yang, C., Apr 2021, In: Applied Acoustics. 175, 107756.Research output: Contribution to journal › Article › peer-review
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Automatic evaluation of wheat resistance to fusarium head blight using dual mask-rcnn deep learning frameworks in computer vision
Su, W. H., Zhang, J., Yang, C., Page, R., Szinyei, T., Hirsch, C. D. & Steffenson, B. J., Jan 1 2021, In: Remote Sensing. 13, 1, p. 1-20 20 p., 26.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Estimation of corn yield based on hyperspectral imagery and convolutional neural network
Yang, W., Nigon, T., Hao, Z., Dias Paiao, G., Fernández, F. G., Mulla, D. & Yang, C., May 2021, In: Computers and Electronics in Agriculture. 184, 106092.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
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., May 1 2021, In: Food Chemistry. 343, 128507.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
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 Access2 Scopus citations
Datasets
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UAV-based hyperspectral dataset for high-throughput yield phenotyping in wheat
Moghimi, A., Yang, C. & Anderson, J. A., Data Repository for the University of Minnesota, 2020
DOI: 10.13020/0ch0-vb18, http://hdl.handle.net/11299/211338
Dataset
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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