Detection of early plant stress responses in hyperspectral images
By Jan Behmann, Jörg Steinrücken, Lutz Plümer. 2014
300 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/76bf7313ece31c3867ffba00e36668f128232124
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Devis Tuia
- Claudio Persello
- Jingfeng Huang
- Paul Scheunders
- Achim Walter
- Puneet Mishra
- Lorenzo Bruzzone
- Andreas Hund
In Ecology
- Jingfeng Huang
- Achim Walter
- Lorenzo Bruzzone
- Yao Zhang
- Andreas Hund
- Claudio Persello
- Frank Liebisch
- Andrew P. French
In Plant Science
- Jingfeng Huang
- Achim Walter
- Frank Liebisch
- B. Biligetu
- Puneet Mishra
- Yong‐Bi Fu
- Andreas Hund
- Andrew P. French
Citations in the corpus
- Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017, methodology): “Using this approach, Behmann detected drought stress on day 6, with NDVI detecting a difference on day 16 [45].”
- Hyperspectral characterization of freezing injury and its biochemical impacts in oilseed rape leaves (2017, methodology): “…already been used in land cover 108 classification (Gao et al., 2015; Hong et al., 2015; Zhang et al., 2015), quantifying 109 vegetation stress (Adjorlolo et al., 2015; Behmann et al., 2014) and land cover change 110 detection (Hichri et al., 2013; Hussain et al., 2013; Nemmour & Chibani, 2006).”
- Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform (2018, background): “, 2016), and a combination of multiple VIs (Rumpf et al., 2010; Behmann et al., 2014).”
- Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances (2016, background): “This is particularly true when the task concerns very large areas or considers quantities that cannot be photointerpreted by an analyst, such as chlorophyll concentrations [8], plant water stress [9], or tree species [10].”
- Plant phenotyping: from bean weighing to image analysis (2015, methodology): “With respect to plant phenotyping, NDVI has been applied to study phenology changes in crops [29-31], to study vegetation ecology [32,33], stress [34,35] and nitrogen status [36-38].”
- Morphological, Physiological, and Genetic Responses to Salt Stress in Alfalfa: A Review (2020, background): “The physiological reflectance index and normalized difference vegetation index are useful for the early detection of salinity stress in plants [100,101].”