A PREDICTIVE MACHINE LEARNING APPLICATION IN AGRICULTURE: CASSAVA DISEASE DETECTION AND CLASSIFICATION WITH IMBALANCED DATASET USING CONVOLUTIONAL NEURAL NETWORKS

A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks

This work is inspired by Kaggle competition which was part of the Fine-Grained Visual Categorization workshop at CVPR 2019 (Conference on Computer Vision and Pattern Recognition) we participated in.It aimed at detecting cassava diseases the gel bottle audrey using 5 fine-grained cassava leaf disease categories with 10,000, labeled images collected

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Assessing the Quality of Clinical Practice Guidelines in the Middle East and North Africa (MENA) Region: A Systematic Review

Saja H Almazrou,1 Layan A Alsubki,1 Norah A Alsaigh,1 Wadha H Aldhubaib,1 Sharifah M Ghazwani2 1Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 2College of Pharmacy, Jazan University, Jazan, Saudi ArabiaCorrespondence: Saja H AlmazrouClinical Pharmacy Department, College of Pharmacy, King Saud Universi

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