Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms

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Bibliographic Details
Main Author: Khoo, Wah Jian
Format: Final Year Project / Dissertation / Thesis
Published: 2018
Subjects:
Online Access:http://eprints.utar.edu.my/3061/1/fyp_CN_2018_KWJ_%2D_1507159.pdf
http://eprints.utar.edu.my/3061/
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author Khoo, Wah Jian
author_facet Khoo, Wah Jian
author_sort Khoo, Wah Jian
building UTAR Library
collection Institutional Repository
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
continent Asia
country Malaysia
format Final Year Project / Dissertation / Thesis
id my-utar-eprints.3061
institution Universiti Tunku Abdul Rahman
publishDate 2018
record_format eprints
spelling my-utar-eprints.30612019-02-13T10:47:58Z Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms Khoo, Wah Jian T Technology (General) 2018-08-29 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3061/1/fyp_CN_2018_KWJ_%2D_1507159.pdf Khoo, Wah Jian (2018) Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms. Final Year Project, UTAR. http://eprints.utar.edu.my/3061/
spellingShingle T Technology (General)
Khoo, Wah Jian
Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title_full Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title_fullStr Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title_full_unstemmed Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title_short Machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
title_sort machine learning for disease detection using raspberry pi with tensorflow in vegetable farms
topic T Technology (General)
url http://eprints.utar.edu.my/3061/1/fyp_CN_2018_KWJ_%2D_1507159.pdf
http://eprints.utar.edu.my/3061/
url_provider http://eprints.utar.edu.my