A dissertation submitted in partial fulfillment of the requirements for the degree of Bachelor of computer science

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorRafaat Mohamed Abdelrahman Kishk, Abdelrahman
dc.date.accessioned2021-01-24T09:44:46Z
dc.date.available2021-01-24T09:44:46Z
dc.date.issued2020
dc.description.abstractFarmers have a problem in detecting plant diseases from the beginning but according to their work ,they could detect the disease after a certain time .This problem will lead to throwing the farms ‘products away and with that I decided to solve this problem using deep learning to help farmers to detect the diseases of plants in any level in order to recover its infection easily .The project will be implemented using deep learning and we will work on spyder 3.7 to train the plant using its leaves .The results that will be occurred in training and testing accuracies are more than 50%en_US
dc.description.sponsorshipNour Zawawien_US
dc.identifier.citationCopyright © 2020 MSA University. All Rights Reserved.en_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4361
dc.language.isoenen_US
dc.publisherMSA university Faculty of Computer Scienceen_US
dc.relation.ispartofseriesFaculty Of Computer Science Graduation Project 2019 - 2020;
dc.subjectجامعة أكتوبر للعلوم الحديثة والآدابen_US
dc.subjectOctober university for modern sciences and artsen_US
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectMSA Universityen_US
dc.titleA dissertation submitted in partial fulfillment of the requirements for the degree of Bachelor of computer scienceen_US
dc.typeOtheren_US

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