Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements
By Jingcheng Zhang, Ruiliang Pu, Jihua Wang, Wenjiang Huang, Lin Yuan, Juhua Luo. 2012
182 citations recorded by the source corpus.
Subfields: Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/2054d1d1ab2e3ddbacd956be84e98d9301e8bf70
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
In Plant Science
- Andrew P. French
- N. Harrison
- Amy Lowe
- Jinzhu Lu
- Jihua Wang
- Chenwei Nie
- Huanyu Jiang
- Fulya Baysal-Gurel
Citations in the corpus
- Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects (2014, methodology): “A detailed procedure for this normalization is described in Zhang et al. (2012b). In the present study, the non-infected samples of YR group were treated as a spectral standard.”
- Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017, methodology): “Yuan L, Huang Y, Loraamm RW, Nie C, Wang J, Zhang J. Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects.”
- Using hyperspectral imaging to discriminate yellow leaf curl disease in tomato leaves (2018, background): “The phenomenon is known as ‘‘red edge shifting’’ (Chappelle et al. 1991; Zhang et al. 2012; Liu et al. 2010), which has been well documented as a good indicator of plant vigor.”