Early detection of Fusarium infection in wheat using hyper-spectral imaging

By Elke Bauriegel, A. Giebel, M. Geyer, U. Schmidt, Werner B. Herppich. 2011

318 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Food Science

View Paper: https://www.semanticscholar.org/paper/3f446e603f99c36daba045d7e59bb601a1c30dbc

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

1. Andrew P. French
2. N. Harrison
3. Amy Lowe
4. Fulya Baysal-Gurel
5. Samuel C. Hassler

In Food Science

1. Andrew P. French
2. N. Harrison
3. Amy Lowe

Citations in the corpus

• Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017, background): “Spectral angle mapper (SAM) Sugarbeet (cerospora leaf spot) Sugarbeet (powdery mildew) Sugarbeet (leaf rust) Wheat (head blight) [40] [39] 89.”
• Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review (2013, methodology): “(84) used HSI (wavelengths 400–1,000 nm, spectral resolution 2.”
• Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat (2014, background): “The same pertains to other frequently used indices such as " greenness-band " (G = R 554 /R 677 , [66]), the " structure intensive pigment index " (SIPI, [67]), the " normalized pigment chlorophyll index " (NPCI, [68]) or the Lichtenthaler index (Lic1 and Lic2, [69] [70]).”
• Advanced methods of plant disease detection. A review (2014, unknown): “…for data dimensionality reduction (Malthus and Madeira 1993; Bravo et al. 2003; Zhang et al. 2003; Delalieux et al. 2007; Grisham et al. 2010; Bauriegel et al. 2011); and (4) machine learning and classification techniques, parametric and non-parametric, supervised and unsupervised, for…”
• Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture (2020, background): “[226] Targeted the infestation of wheat by Fusarium and attempted to detect this disease using hyperspectral remote sensing data, and consequently suggested that farmers need to deal with infected crops separately from healthy crops.”