Research Output per year
Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Crops
Engineering & Materials Science
remote sensing
Agriculture & Biology
Remote sensing
Engineering & Materials Science
weeds
Agriculture & Biology
Herbicides
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Weed control
Engineering & Materials Science
computer vision
Agriculture & Biology
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1997 2018
A promising trend for field information collection: An air-ground multi-sensor monitoring system
Zhang, Y., Chen, D., Wang, S. & Tian, L., Jun 1 2018, In : Information Processing in Agriculture. 5, 2, p. 224-233 10 p.Research output: Contribution to journal › Review article
Unmanned aerial vehicles (UAV)
monitoring system
sensors (equipment)
Wireless sensor networks
Remote sensing
Wearable sensors: Modalities, challenges, and prospects
Heikenfeld, J., Jajack, A., Rogers, J., Gutruf, P., Tian, L., Pan, T., Li, R., Khine, M., Kim, J., Wang, J. & Kim, J., Jan 1 2018, In : Lab on a chip. 18, 2, p. 217-248 32 p.Research output: Contribution to journal › Review article
Technology
Technology Transfer
Software
Innovation
Skin
Bioproduction engineering: Automation and precision agronomics for sustainable agricultural systems, second edition
Ahamed, T., Noguchi, R., Takigawa, T. & Tian, L., Jan 1 2016, Nova Science Publishers, Inc. 274 p.Research output: Book/Report › Book
Automation
Agriculture
Renewable Energy
Technology
Decision Making
Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform
Yu, N., Li, L., Schmitz, N., Tian, L., Greenberg, J. A. & Diers, B. W., Dec 15 2016, In : Remote Sensing of Environment. 187, p. 91-101 11 p.Research output: Contribution to journal › Article
Unmanned aerial vehicles (UAV)
soybean
Throughput
soybeans
phenotype
Real-time UAV weed scout for selective weed control by adaptive robust control and machine learning algorithm
Li, L., Fan, Y., Huang, X. & Tian, L., Jan 1 2016, 2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016. American Society of Agricultural and Biological Engineers, (2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Weed control
artificial intelligence
Robust control
Unmanned aerial vehicles (UAV)
Learning algorithms