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2022
Conference Paper
Titel
Potentials of Spectral Imaging for Stress Monitoring in Viticulture
Abstract
Remote sensing technologies are widely used to monitor quantity and quality of plants in agriculture and forestry. While conventional panchromatic and RGB cameras can provide spatial information equivalent to human vision, high-resolution spectroscopy can reveal information about the chemical and structural composition of plants and provide detailed insight about plant health. With the development of commercial high-resolution multi- and hyperspectral cameras in the past decade, it is now possible to combine spectral and spatial information to obtain high-throughput and accurate predictions of plant condition. In this article, the underlying optical phenomena in plants will be reviewed and projected to potential imaging applications for plant stress monitoring with a focus on viticulture.
Author(s)