Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin

Automated vision recognition has been widely implemented for various fields such as automobiles, manufacturing, medical, agricultural sector, etc. However, automation recognition specifically in oil palm or scientifically known as Elaeis Guineensis industry is still lacking. To the best of our knowl...

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Main Author: Hairuddin, Muhammad Asraf
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2014
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/19449/1/ABS_MUHAMMAD%20ASRAF%20HAIRUDDIN%20TDRA%20VOL%206%20IGS_14.pdf
http://ir.uitm.edu.my/id/eprint/19449/
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spelling my.uitm.ir.194492018-06-11T07:51:21Z http://ir.uitm.edu.my/id/eprint/19449/ Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin Hairuddin, Muhammad Asraf Malaysia Automated vision recognition has been widely implemented for various fields such as automobiles, manufacturing, medical, agricultural sector, etc. However, automation recognition specifically in oil palm or scientifically known as Elaeis Guineensis industry is still lacking. To the best of our knowledge, automatic detection device for nutrition-lacking disease based on appearance of symptoms on leaf surfaces is unavailable since at present, the disease is inspected by human experts depending on the knowledge and experience possessed. Hence, this thesis proposed to automate the nutritional disease detection due to nutritional deficiencies namely nitrogen, potassium and magnesium instead of manual visual recognition. This is because automation process is necessary to lessen error and reduce cost due to human experts as well as to increase speed of disease detection. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19449/1/ABS_MUHAMMAD%20ASRAF%20HAIRUDDIN%20TDRA%20VOL%206%20IGS_14.pdf Hairuddin, Muhammad Asraf (2014) Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 6 (6). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Hairuddin, Muhammad Asraf
Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
description Automated vision recognition has been widely implemented for various fields such as automobiles, manufacturing, medical, agricultural sector, etc. However, automation recognition specifically in oil palm or scientifically known as Elaeis Guineensis industry is still lacking. To the best of our knowledge, automatic detection device for nutrition-lacking disease based on appearance of symptoms on leaf surfaces is unavailable since at present, the disease is inspected by human experts depending on the knowledge and experience possessed. Hence, this thesis proposed to automate the nutritional disease detection due to nutritional deficiencies namely nitrogen, potassium and magnesium instead of manual visual recognition. This is because automation process is necessary to lessen error and reduce cost due to human experts as well as to increase speed of disease detection.
format Book Section
author Hairuddin, Muhammad Asraf
author_facet Hairuddin, Muhammad Asraf
author_sort Hairuddin, Muhammad Asraf
title Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
title_short Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
title_full Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
title_fullStr Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
title_full_unstemmed Automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / Muhammad Asraf Hairuddin
title_sort automated vision recognition for classifying nutrient deficiencies based of elaeis guineensis leaf / muhammad asraf hairuddin
publisher Institute of Graduate Studies, UiTM
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/19449/1/ABS_MUHAMMAD%20ASRAF%20HAIRUDDIN%20TDRA%20VOL%206%20IGS_14.pdf
http://ir.uitm.edu.my/id/eprint/19449/
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score 13.209306