Abstract
Identification of the best spectral zone and wavelength to be used for the discrimination
of healthy and infected sugar beet plants and also to discriminate between the different
infections of sugar beet plants is the goal achieved in this research. Field hyperspectral
radiometer was used to measure spectral reflectance characteristics. By comparing
spectral reflectance for the three infections of sugar beet plants (Cotton leaf worm,
Aphid and Whiteflies), showed high pattern similarity. HSD Tukey’s analysis showed
that the NIR and Blue spectral zone are the best for the discrimination between healthy
sugar beet plant and the different infections; on the other hand SWIR-1 and SWIR-2
was the worst but Red and Green spectral zones showed reasonable discrimination.
Also, Spectral discrimination was clearer in case of old leaves than young ones. Hence
a result of this study is significant, as remote sensing technologies can be used for early
detection for plants infections, and thus can be used for integrated pest management
system.
Sayed Yones, Amin Aboelghar, Ali Khdery, Massoud Ali, Nasser Hussien, Eslam Farag, Ahmed Mahmoud . (2019) Spectral measurements for monitoring of sugar beet infestation and its relation with production, Asian Journal of Agriculture and Biology, Volume 7, Issue 3.
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