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Phenology modeling of the most common agricultural cultures based on time series of high spatialresolution satellite imagery and vegetation indices was conducted for several crop types. This datawas used as an indicator of crops state in the multivariable correlation model as dependent variables.The influence of climate factors (temperature, air pressure, precipitation, insolation, cloudiness andhumidity) on crops state was determined using multivariable correlation. This model allowsprediction of delayed influence of climate factors on plant health and state through the values ofNDVI.
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