Rotten Fruit Detection Using Machine Learning (Record no. 24316)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00486nam a2200145Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250506s9999 xx 000 0 und d |
| 024 ## - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 19B-006-CE,19B-024-CE & 19B-011-CE |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.027 FIR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Azlina Firoz,Mubbashir Hasan & M. Usman Ali Abbasi |
| 110 ## - Sub Author | |
| Corporate name or jurisdiction name as entry element | Dr. Muhammad Ghazanfar Ullah Khan |
| 245 #0 - TITLE STATEMENT | |
| Title | Rotten Fruit Detection Using Machine Learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Karachi |
| Name of publisher, distributor, etc. | UITU, |
| Date of publication, distribution, etc. | 2019 |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bachelor of Engineering (B.E) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Engineering |
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