ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION
Malaysia is now the world's leading exporter of palm oil, despite being the world's second largest producer, since it covers more than 18 percent of the country's area and employs roughly 400,000 people directly. To keep this agricultural economy alive, it is vital to sustain the grea...
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| Format: | Final Year Project |
| Language: | English |
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2022
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24513/1/ANOMALY%20DETECTION%20IN%20PALM%20OIL%20TREE%20USING%20OBJECT%20DETECTION.pdf http://utpedia.utp.edu.my/id/eprint/24513/ |
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oai:utpedia.utp.edu.my:245132023-05-18T04:03:46Z http://utpedia.utp.edu.my/id/eprint/24513/ ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION HISYAM, MUHAMMAD DANISH T Technology (General) Malaysia is now the world's leading exporter of palm oil, despite being the world's second largest producer, since it covers more than 18 percent of the country's area and employs roughly 400,000 people directly. To keep this agricultural economy alive, it is vital to sustain the greatest possible quality of the palm oil tree. 2022-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24513/1/ANOMALY%20DETECTION%20IN%20PALM%20OIL%20TREE%20USING%20OBJECT%20DETECTION.pdf HISYAM, MUHAMMAD DANISH (2022) ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION. [Final Year Project] (Submitted) |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
| url_provider |
http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) HISYAM, MUHAMMAD DANISH ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| description |
Malaysia is now the world's leading exporter of palm oil, despite being the world's second largest producer, since it covers more than 18 percent of the country's area and employs roughly 400,000 people directly. To keep this agricultural economy alive, it is vital to sustain the greatest possible quality of the palm oil tree. |
| format |
Final Year Project |
| author |
HISYAM, MUHAMMAD DANISH |
| author_facet |
HISYAM, MUHAMMAD DANISH |
| author_sort |
HISYAM, MUHAMMAD DANISH |
| title |
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| title_short |
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| title_full |
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| title_fullStr |
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| title_full_unstemmed |
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION |
| title_sort |
anomaly detection in palm oil tree using object detection |
| publishDate |
2022 |
| url |
http://utpedia.utp.edu.my/id/eprint/24513/1/ANOMALY%20DETECTION%20IN%20PALM%20OIL%20TREE%20USING%20OBJECT%20DETECTION.pdf http://utpedia.utp.edu.my/id/eprint/24513/ |
| _version_ |
1768010135118020608 |