Name
Abstract | ||
|---|---|---|
The spectral information contained in hyperspectral data allows for a more detailed crop and soil parameter retrieval, in turn making possible to derive precise information about plant health (nutrient deficiencies, water stress, crop diseases) but also about soil status (from soil moisture to humus content). Thus, smart farming, that is farming practice that wants to account for the whole ecosystem on the field and react precisely to any challenges, can be supported by hyperspectral data with exactly the spatial information it needs. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351937 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
agriculture,crops,remote sensing,soil,crop parameter retrieval,humus content,hyperspectral data,plant crop disease,plant health,plant nutrient deficiency,plant water stress,smart farming,soil parameter retrieval,spectral information,AVIS,CHRIS,EnMap,Imaging Spectrometry,agriculture | Spatial analysis,Soil science,Computer science,Remote sensing,Water stress,Hyperspectral imaging,Agriculture,Water content,EnMAP,Agricultural engineering,Humus,Ecosystem | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 1 |
PageRank | References | Authors |
0.50 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silke Migdall | 1 | 1 | 0.50 |
| Philipp Klug | 2 | 1 | 0.50 |
| Antoine Denis | 3 | 1 | 0.50 |
| Heike Bach | 4 | 1 | 0.84 |