Under CopyrightRilling, StefanStefanRillingNielsen, MichaelMichaelNielsenMilella, AnnalisaAnnalisaMilellaJestel, ChristianChristianJestelFröhlich, PeterPeterFröhlichReina, GiulioGiulioReina2022-03-1324.1.20182017https://publica.fraunhofer.de/handle/publica/39933510.24406/publica-r-39933510.1109/AVSS.2017.8078479The measurement of the growth state and health status of single plants or even single parts of the plants within a crop to conduct precision farming actions is a difficult task. We address this challenge by adopting a multi-sensor suite, which can be used on several sensor-platforms. Based on experimental field studies in relevant agricultural environments, we show how the acquired hyperspectral, LIDAR, stereo and thermal image data can be processed and classified to get a comprehensive understanding of the agricultural acreage.enconference paper