Hassan II Institute of Agronomy and Veterinary

Morocco

Hassan II Institute of Agronomy and Veterinary

Morocco

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El Massi I.,University Ibn Zohr | Es-Saady Y.,University Ibn Zohr | El Yassa M.,University Ibn Zohr | Mammass D.,University Ibn Zohr | Benazoun A.,Hassan II Institute of Agronomy and Veterinary
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

A machine vision system is reported in this study for automatic recognition of the damages and symptoms on plant leaves from images. The system is based on a hybrid combination of three SVM classifiers including an individual classifier, which is used in parallel with a serial combination of two classifiers. The individual classifier adopts two types of features (texture and shape) to discriminate between the damages and symptoms. In serial architecture, the first classifier adopts the color features to classify the images; it considers the damages and/or symptoms that have a similar or nearest color belonging to the same class. Then, the second classifier is used to differentiate between the classes with similar color depending on the shape and texture features. A combination function is provided for comparing the decision of the individual classifier and of the serial architecture in order to achieve the final decision that represents the class of the form to be recognized. The tests of this study are carried out on six classes including three types of pest insects damages and three forms of fungal diseases symptoms. The results, with an overall recognition rate of 93.9%, show the advantages of the proposed method compared to the other existing methods. © Springer International Publishing Switzerland 2016.


PubMed | Institute of Nursing Professions and Health Techniques, National Institute of Hygiene, Hassan II Institute of Agronomy and Veterinary, Delegation of Health and Laboratory of Zoology and General Biology
Type: Journal Article | Journal: Parasites & vectors | Year: 2016

Leishmaniasis is considered among the main endemic diseases in Morocco. However, further knowledge about epidemiological aspects of this disease is needed in several provinces to plan control and preventive strategies to tackle the disease. The present study aims to determine the epidemiological aspect of cutaneous and visceral leishmaniasis in Taza Province from 2007-2014 and to identify the circulating species in this province.The temporal study from 2007 to 2014 showed that the number of cutaneous leishmaniasis cases increased since 2010. During the period of study, most leishmaniasis cases were detected in both urban and rural areaswith34% of cases detected in two urban localities, Bab Zitouna and Bab tt with 297 and 106cases, respectively. The molecular study of cutaneous leishmaniasis showed the presence of non-sporadic Leishmania infantum and Leishmania tropica in this province. Regarding visceral leishmaniasis, Leishmania infantum is the species that has been identified.The epidemio-molecular study of leishmaniasis in Taza Province showed the coexistence of two species of Leishmania in the same foci. They also indicated that CL due to Leishmania infantum is more prevalent than reported in the literature. These results will be helpful for the implementation of control strategies by targeting dogs that constitute a reservoir of Leishmania infantum.


Abouda Z.,P.A. College | Zerdani I.,Hassan II University | Kalalou I.,P.A. College | Faid M.,Hassan II Institute of Agronomy and Veterinary | Ahami M.T.,P.A. College
Research Journal of Microbiology | Year: 2011

Samples of natural bee-bread and bee-pollen from different aromatic and medicinal plants were studied for their antimicrobial activities on antibio-resistant bacterial strains isolated from human pathology. Four samples of bee-bread, two samples of fresh bee-pollen and two samples of dried bee-pollen were collected from different regions in Morocco. Dilutions of bee-bread and bee-pollen from 1/2, 1/4, 1/8 and 1/16 were tested by the agar well diffusion method on various strains of bacteria including E. coli, Staphylococcus aureus, Bacillus cereus and Pseudomonas aeruginosa. Results revealed that most of strains were inhibited by the dilution 1/2 and 1/4. The Gram positive bacteria were more sensitive to bee-bread and bee-pollen than Gram negative bacteria. All the samples showed strong antimicrobial activities on the bacterial strains, which were first tested for their resistance to antibiotics. The results showed that bee-bread and bee-pollen samples were inhibitory than dried bee-pollen. © 2011 Academic Journals Inc.

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