GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5° zenith angle: Theoretical considerations based on 3D architecture models and application to wheat…

By Frédéric Baret, B. Solan, R. López‐Lozano, Kai Ma, Marie Weiss. 2010

171 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/dab4e013dceb49f6f84ea02ac5d75e3fd99e7f90

How researchers see this paper

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

In Ecology

1. Aleixandre Verger
2. Sylvain Jay
3. Frédéric Baret
4. Nathalie Gorretta
5. Ryad Bendoula
6. F. Maupas

In Plant Science

1. Sylvain Jay
2. Frédéric Baret
3. Nathalie Gorretta
4. Aleixandre Verger
5. Ryad Bendoula
6. F. Maupas

Citations in the corpus

• Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping (2017, background): “In particular, an improved sensitivity to leaf biochemistry could be expected when positioning the sensor perpendicularly to the row, this direction maximizing the observed amount of leaves for row-structured canopies (Baret et al. 2010; Comar et al. 2012).”
• Green area index from an unmanned aerial system over wheat and rapeseed crops (2014, methodology): “It is therefore preferred to use the term green area index (GAI) in place of LAI (Baret et al., 2010; Duveiller, Baret, & Defourny, 2012).”