Classification of African Mosaic Virus Infected Cassava Leaves by the Use of Multi-Spectral Imaging

Sangare, Mama; Agneroh, Thérèse Atcham; Bagui, Olivier K.; Traoré, Issiaka; Ba, Abdramane; Zoueu, Jérémie T.

doi:10.4236/opj.2015.58025

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…This index variation translated by a high diffusion spectrum at 590 nm and 700 nm to 940 nm for the leaves under treatment may be related to the presence of the 2,4-D molecules in the mesophilic tissue creating additional layers at the base of the disorganization of the pigment concentration of the leaves. It may also be related to the geometry of the leaf, the physicochemical and optical properties (transmission, absorption, and reflection) [13].…”

Section: Discussionmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Kouakou¹,

Soro²,

Taky³

et al. 2017

SAR

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Evaluation of the impact of herbicides on maize was done through multispectral and multi-modal imaging and multi-spectral fluorescence imaging combined with statistical methods. Spectra containing 13 wavelengths ranging from 375 nm to 940 nm were derived from multi-spectral images in transmission, reflection and scattering mode and fluorescence images obtained using high-pass filters (F450 nm, F500 nm, F550 nm, F600 nm, F650 nm) on control maize samples and maize samples treated with Herbextra herbicide were used. The appearance of the spectra allowed us to characterize the effect of the herbicide on the maize pigment concentration. The fluorescence images allowed us to track the fate of absorbed energy and through PLS-DA and SVM-DA to discriminate the two leaf categories with very low error rates for the test, i.e. 4.9% and 2% respectively. The results of this technique can be used in the context of precision agriculture.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Kouakou¹,

Soro²,

Taky³

et al. 2017

SAR

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show abstract

“…Several studies have reported the use of multispectral microscopy in the detection of malaria without fluorescent labelling of cells 10,11 and the early detection of plant diseases. 12,13 However, there is a need to improve spatial resolution and noise performance in these systems. We, therefore, present an implementation of a TMSR-based microscopy system that seeks to improve thin blood smear image contrast via a multispectral approach.…”

Section: Introductionmentioning

confidence: 99%

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Yebouet

Diby

Kaduki

et al. 2020

J. Spectral Imaging

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We report the use of Time Multiplexing Super Resolution (TMSR) to reduce significantly speckle noise in spectral imaging microscopy of unstained thin blood smear samples of malaria-infected blood. The method is based on combining speckle illumination with a moving array serving as an encoding mask. We propose the use of a new encoding mask to improve the performance of the conventional TMSR method. The new mask is a two-dimensional generalisation of the one- dimensional Ipatov code. The mask is projected on the object and 13 low-resolution images captured and subsequently decoded properly using the same array. The low contrast images are added and extracted from the resulting reconstruction, giving a super-resolved, high-contrast image. The Ipatov filter used in this work performs better than the Barker filter.

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“…Cassava (Manihot esculentus, Crantz), belonging to Euphorbiaceae family, is a perennial shrub with edible roots which grows in both tropical and subtropical areas of the world [31]. It originated from tropical America (Brazil) and was first introduced into Africa in Congo basin by Portuguese traders around 16 th Century [19].…”

Section: Introductionmentioning

confidence: 99%

Cassava Mosaic Disease and Associated Gemini Viruses in Bauchi State, Nigeria: Occurrence and Distribution

Abubakar¹,

Singh²,

Keta³

2019

AJPB

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Cassava mosaic disease is one of the most important biotic constraint affecting Cassava limiting the production potential of the crop in Northern Nigeria. This study was carried out to evaluate the current status of Cassava mosaic disease incidence, severity, infection type, whitefly abundance in the farmers' field as well as to determine the virus strains causing the disease in Bauchi State, North eastern Nigeria. A total of thirty three (33) farmers' fields were surveyed and in each field, thirty plants were assessed along the two diagonals with respect to disease incidence, severity, infection type and whitefly abundance and leaf samples were collected from each field for the virus diagnosis. The results revealed that Cassava mosaic disease incidence was highest in Ganjuwa (88.66%) and lowest in Darazo (43.33%). The disease symptom severity was generally mild. It was also highest in Ganjuwa (2.85) and lowest in Darazo (1.34). Whitefly infection is most prevalent (59.73%) than cutting borne infection (2.67%) in the Districts. Adult whitefly (Bemisia tabaci) population was highest in Ganjuwa (56.33) followed by Kirfi (40.93) and lowest in Toro (27.63). Polymerase chain reaction (PCR) results using specific primers for African Cassava mosaic virus (ACMV) and East African Cassava mosaic virus (EACMV) detected single infections of ACMV and EACMV in 62.4% and 12.9% of the positive samples respectively. Co-infections of ACMV and EACMV were detected in 10.6% of the tested samples. Continuous monitoring of Cassava Mosaic Viruses and whiteflies population is required to provide appropriate management strategies of the disease in Nigeria.

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Classification of African Mosaic Virus Infected Cassava Leaves by the Use of Multi-Spectral Imaging

Cited by 5 publications

References 8 publications

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

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

Unstained blood smear contrast enhancement using spectral time multiplexing super resolution

Cassava Mosaic Disease and Associated Gemini Viruses in Bauchi State, Nigeria: Occurrence and Distribution

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