Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

Autor: Juliane Bendig, Andreas Bolten, Simon Bennertz, Janis Broscheit, Silas Eichfuss, Georg Bareth

Publikováno v: Remote Sensing, Vol 6, Iss 11, Pp 10395-10412 (2014)

Crop monitoring is important in precision agriculture. Estimating above-ground biomass helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry biomass on a summer barley test site with 18 cultivars and two nitro

Externí odkaz: https://doaj.org/article/1918df2ef2cc4df0aeb59320d083d1ad

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection

Autor: Jouni Jussila, Dzhaner Emin, Jan Behmann, Kelvin Acebron, Shizue Matsubara, Harri Salo, David Bohnenkamp, Matheus Thomas Kuska, Stefan Thomas, Uwe Rascher, Anne-Katrin Mahlein, Simon Bennertz

Publikováno v: Sensors, Vol 18, Iss 2, p 441 (2018)
Sensors; Volume 18; Issue 2; Pages: 441
Sensors (Basel, Switzerland)
Sensors 18(2), 441-(2018). doi:10.3390/s18020441

Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b930e1c17590f08389d6eb1c8fbbbc
http://resolver.sub.uni-goettingen.de/purl?gs-1/15913

Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs

Autor: Simon Bennertz, Andreas Bolten, Juliane Bendig, Max Willkomm, Helge Aasen, Georg Bareth

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7, Pp 1-8 (2014)
International archives of photogrammetry, remote sensing and spatial information sciences, XL-7
ISPRS Technical Commission VII Symposium

Hyperspectral remote sensing helps to acquire information about the status of agricultural crops to allow optimized management practices in the context of precision agriculture. Due to technological innovations small and lightweight hyperspectral sen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d18a84156831aeda04bb7a60be501e07
https://doi.org/10.5194/isprsarchives-xl-7-1-2014