Abstract:
Evaluation of the impact of herbicides on maize was done through multispectral
and multi-modal imaging and multi-spectral fluorescence imaging
combined with statistical methods. Spectra containing 13 wavelengths ranging
from 375 nm to 940 nm were derived from multi-spectral images in transmission,
reflection and scattering mode and fluorescence images obtained using
high-pass filters (F450 nm, F500 nm, F550 nm, F600 nm, F650 nm) on control
maize samples and maize samples treated with Herbextra herbicide were used.
The appearance of the spectra allowed us to characterize the effect of the herbicide
on the maize pigment concentration. The fluorescence images allowed
us to track the fate of absorbed energy and through PLS-DA and SVM-DA to
discriminate the two leaf categories with very low error rates for the test, i.e.
4.9% and 2% respectively. The results of this technique can be used in the
context of precision agriculture.
