Predicting Rice Yield Using Canopy Reflectance Measured at Booting Stage

By Kuo-Wei Chang, Yuan Shen, Jeng-Chung Lo. 2005

130 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/d9623d1c0d377cef08d10dff29ae6e77be49c89e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Chan Seok Ryu
2. Mikio Umeda
3. Masahiko Suguri

In Ecology

1. Chan Seok Ryu
2. Mikio Umeda
3. Masahiko Suguri

In Plant Science

1. Chan Seok Ryu
2. Mikio Umeda
3. Masahiko Suguri

Citations in the corpus

• Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing (2011, background): “As one way of identifying the growth and nitrogen status of rice plants, remote sensing has great potential because it enables wide-area, non-destructive, and real-time acquisition of information on ecophysiological plant conditions (Inoue, 2003; Chang et al., 2005).”
• Estimating Rice Grain Yield Potential Using Normalized Difference Vegetation Index (2011, unknown): “Others have used canopy refl ectance readings to quantify rice yield, biomass, and leaf area index (Casanova et al., 1998; Xiao et al., 2002; Chang et al., 2005).”