Snapshot Hyperspectral Imaging for Field Data Acquisition in Agriculture (in Raspberry Plantation)
Year: 2019
Type: article
Abstract: A snapshot spectral camera with more than 100 spectral channels was used and \ntested. A native snapshot imaging spectrometer captures all spectra and the entire image at \nthe same time without any time delay. It enables this imaging system to capture motion \npictures and producing hyperspectral videos. \nIn our horticulture study a snapshot camera was applied to spectrally document, map and \ncharacterize a raspberry plantation under differently coloured shade nets to analyse \nusability, flexibility and to record spectro-phenological parameters. Leading raspberry \nproducers are located in Eastern Europe and contribute at least 80% of the world's \nraspberry production (FAOSTAT, 2016). Due to agricultural climate change scenarios \nraspberry plantations are at risk because evapotranspiration will be challenged by solar \nradiation and temperature changes. We concluded that spectral field data acquisition and \nlength of data evaluation could be significantly reduced by snapshot spectral imaging.
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W3026073409