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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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2014
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| Online Access: | http://ir.uitm.edu.my/id/eprint/19449/ http://ir.uitm.edu.my/id/eprint/19449/1/ABS_MUHAMMAD%20ASRAF%20HAIRUDDIN%20TDRA%20VOL%206%20IGS_14.pdf |
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uitm-19449 |
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eprints |
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uitm-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. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| 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/ http://ir.uitm.edu.my/id/eprint/19449/1/ABS_MUHAMMAD%20ASRAF%20HAIRUDDIN%20TDRA%20VOL%206%20IGS_14.pdf |
| first_indexed |
2023-09-18T23:02:35Z |
| last_indexed |
2023-09-18T23:02:35Z |
| _version_ |
1777418272447135744 |