Foliar Disease Detection in the Field Using Optical Sensor Fusion
By C. Bravo, Dimitrios Moshou, R. Oberti, J. S. West, A. McCartney, L. Bodria, H. Ramon. 2004
82 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/57b0521a4f5e52960a65ed430be330f4dd189abd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging (2010, background): “Only relatively recently has it been explored for use in plant disease detection and severity measurement ( Bravo et al. , 2003 , 2004 ; Apan et al.”
- Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat (2014, methodology): “In this regard, recording of steady state fluorescence signals is certainly easier than that of fluorescence kinetics [46].”
- An In-field Automatic Wheat Disease Diagnosis System (2017, background): “In this context, various spectroscopic and imaging techniques have been studied for identifying crop disease symptoms (Bravo et al., 2004; Moshou et al., 2005; Chaerle et al., 2007; Belasque Jr et al., 2008; Qin et al., 2009).”