| Full text | |
| Author(s): |
Merrick, Trina
;
Bennartz, Ralf
;
Jorge, Maria Luisa S. P.
;
Pau, Stephanie
;
Rausch, John
Total Authors: 5
|
| Document type: | Journal article |
| Source: | SENSORS; v. 22, n. 9, p. 12-pg., 2022-05-01. |
| Abstract | |
Remote sensing offers a non-destructive method to detect plant physiological response to the environment by measuring chlorophyll fluorescence (CF). Most methods to estimate CF require relatively complex retrieval, spectral fitting, or modelling methods. An investigation was undertaken to evaluate measurements of CF using a relatively straightforward technique to detect and monitor plant stress with a spectroradiometer and blue-red light emitting diode (LED). CF spectral response of tomato plants treated with a photosystem inhibitor were assessed and compared to traditional reflectance-based indices: normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI). The blue-red LEDs provided input irradiance and a "window" in the CF emission range of plants (similar to 650 to 850 nm) sufficient to capture distinctive "two-peak" spectra and to distinguish plant health from day to day of the experiment, while within day differences were noisy. CF-based metrics calculated from CF spectra clearly captured signs of vegetation stress earlier than reflectance-based indices and by visual inspection. This CF monitoring technique is a flexible and scalable option for collecting plant function data, especially for indicating early signs of stress. The technique can be applied to a single plant or larger canopies using LED in dark conditions by an individual, or a manned or unmanned vehicle for agricultural or military purposes. (AU) | |
| FAPESP's process: | 13/50421-2 - New sampling methods and statistical tools for biodiversity research: integrating animal movement ecology with population and community ecology |
| Grantee: | Milton Cezar Ribeiro |
| Support Opportunities: | Regular Research Grants |