Fire blight, hyperspectral model for images acquired in the greenhouse

Linear Regression model for images acquired in greenhouse using HYPERSPECTRAL camera. The model presented here allows to load data from a hyperspectral image taken in the 350 – 2500 nm range with a spectral resolution of 1 nm and to process the data into two indicators. The first one returns the probability of detecting fire […]

Fire blight, UV – VIS – NIR spectrometer, model for data acquired in the greenhouse

Linear Regression model for images acquired in greenhouse using UV-VIS spectrometer. The model presented here allows to load data from a multispectral data taken in the UV/VIS/NIR range and to process the data into two indicators. The first one returns the probability of detecting fire blight in the range (0-100%). The second indicator returns information […]

Fire blight, Parrot SEQUOIA camera, model for images acquired in the greenhouse

Linear Regression model for images acquired in greenhouse using Parrot SEQUOIA camera. The model presented here allows to load data from a multispectral image taken in the VIS/NIR range and to process the data into two indicators. The first one returns the probability of detecting fire blight in the range (0-100%). The second indicator returns […]