If you made any changes in Pure, your changes will be visible here soon.

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.

remote sensing Agriculture & Biology
drought Earth & Environmental Sciences
fluorescence Earth & Environmental Sciences
satellite data Earth & Environmental Sciences
Crops Engineering & Materials Science
climate Earth & Environmental Sciences
Satellites Engineering & Materials Science
crop yield Earth & Environmental Sciences

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

Research Output 2007 2019

  • 59 Article
  • 2 Conference contribution
  • 1 Conference article
  • 1 Editorial

Are we approaching a water ceiling to maize yields in the United States?

Delucia, E. H., Chen, S., Guan, K., Peng, B., Li, Y., Gomez-Casanovas, N., Kantola, I. B., Bernacchi, C., Huang, Y., Long, S. P. & Ort, D. R., Jun 18 2019, In : Ecosphere. 10, 6, e02773.

Research output: Contribution to journalArticle

Open Access
vapor pressure
water use efficiency

Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

Li, Y., Guan, K., Schnitkey, G. D., Delucia, E. H. & Peng, B., Jul 1 2019, In : Global change biology. 25, 7, p. 2325-2337 13 p.

Research output: Contribution to journalArticle

Open Access

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

Meacham-Hensold, K., Montes, C. M., Wu, J., Guan, K., Fu, P., Ainsworth, E., Pederson, T., Moore, C. E., Brown, K. L., Raines, C. & Bernacchi, C., Sep 15 2019, In : Remote Sensing of Environment. 231, 111176.

Research output: Contribution to journalArticle

Open Access
genetic engineering
least squares
Open Access
artificial intelligence
least squares
operator regions

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Cai, Y., Guan, K., Lobell, D., Potgieter, A. B., Wang, S., Peng, J., Xu, T., Asseng, S., Zhang, Y., You, L. & Peng, B., Aug 15 2019, In : Agricultural and Forest Meteorology. 274, p. 144-159 16 p.

Research output: Contribution to journalArticle

artificial intelligence
remote sensing