Identification of Bacterial Diseases in Rice Plants Leaves by the Use of Spectroscopic Imaging

Abstract

Rice is staple in the African habitats menu. Bacterial wilt (BLB) and leaf streak (BLS) are some of the phytopathological diseases which restrain rice production around the world. In this paper, multi-spectral and multimodal imaging techniques have been developed to characterize the rice leaves with symptoms of bacterial wilt (BLB) and leaf streak (BLS), and to provide information on their effects, in order to reduce their spread. First, we recorded microscopic and spectroscopic images of the samples using multimodal and multispectral microscope, with spectral region ranging from UV to NIR, for each mode. Then, we extracted the spectral footprints of the cells constituents, in transmission, reflection and scattering from the spectral images. Applying multivariate statistical analysis methods to this optical spectra allowed us to characterize the effect of bacterial rice leaves caused by Xanthomonas oryzae strains. The results of the proposed technique can be useful for easy identification of this type of infection, and can serve as routine approach in biochemical and agronomic laboratories.

Characterization of a Multimodal and Multispectral Led Imager: Application to Organic Polymer’s Microspheres with Diameter Φ = 10.2 μm

“…In the measurement of the reflectance, the alignement of optics in the microscope and fixation of its focal plan at the reference wavelength being done during the measures in transmission mode, we active the geometry "reflection" inthe Lab view code interface in order to run the automated acquisition of the thirteen images.The signal s R ismeasuredafter having put the slide containing the sample on the microscope's holder.The signal b R is acquiredby usinga diffuser in the place of the sample, with its white face upin the microscope. The diffuser eliminates dissymetry light dispatching andallows anuniform intensity distributionin the camera's field of theview [3]. To acquire the image, d R , the microscope's holder is kept empty in order to get parasite reflection dueto the opticsin the microscope.…”

“…Zoueu et al [1] have shown that using multispectral imaging allows detecting malaria without using fluorescent labels for parasites as it is the case of thick and thin blood smears. Multispectral imaging is an important tool in the delimitation of reserved forests [2] and also in agriculture framework for rapid detection of fruit diseases [3] [4].…”

Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection

“…This system was utilised as an alternative tool for staining-free malaria diagnosis. [12][13][14] The same instrument was also used to study, analyse, predict and build statistical models of infected tropical plant leaves [15][16][17] to enhance agricultural production. The potential of this optical microscope to spectrally differentiate and classify the samples' content also made it a valuable tool for biological diagnostic approaches.…”

Multi-Spectral and Fluorescence Imaging in Prevention of Overdose of Herbicides: The Case of Maize

“…Several methods exist for monitoring the health of plants [5] [11] [12] and are based on the interaction between light and matter. Multi-spectral imaging [13] [14] [15] and fluorescence [16] [17] [18] have also shown their ability to monitor the health of plants and to discriminate against certain diseases. We combine these two techniques to discriminate two types of maize plant (healthy and treated with herbicide plants) to predict the physiological state of a new database and especially to understand the impact of the herbicide on the physiology of the plant.…”