MARC details
| 000 -LEADER |
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| fixed length control field |
03104nam a22003377a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250717100814.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250717b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH TK 870 |
| Item number |
C78 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Cruz, Kirstentahle T. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Tamis: |
| Remainder of title |
raspberry pi-based non-invasive system for sugarcane (saccharum officinarum) maturity classification via convolutional neural network (cnn) for real-time video processing/ |
| Statement of responsibility, etc. |
Kirstentahle T. Cruz, Sofia Ysabel E. Ilagan, Lim, Brandon Bradley T., Zhi Wen, Allen T. Matic, Airiz A. Mendoza, and Stephen Raynne G. Modequillo.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 138pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis<br/> |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College Of Engineering.--<br/> |
| Degree type |
Bachelor of science in electronics engineering: |
| Name of granting institution |
Technological University of the Philippines, <br/> |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Sugarcane (Saccharum officinarum) is one of the Philippines’ most economically<br/>vital crops, contributing approximately PHP 76 billion annually and supporting over<br/>700,000 workers. Accurate maturity assessment is essential for maximizing yield and sugar<br/>recovery. However, conventional methods involve invasive techniques, such as extracting<br/>juice from stalks to measure Brix values, which increase the risk of spoilage and disease.<br/><br/>This study introduces TAMIS, a low-cost, user-friendly system using Raspberry Pi to non-<br/>invasively classify sugarcane maturity. A DSLR camera was used alongside the device’s<br/><br/>initial capture functionality to collect 435 high-resolution images of the PHIL 2006-2289<br/>sugarcane variety. Photos were taken monthly during the critical 9th to 12th month growth<br/>phase under direct sunlight to ensure consistent lighting all throughout the data collection<br/>phase. The dataset, annotated with Roboflow, was sorted into three maturity categories,<br/>namely: Low Brix, Medium Brix, and High Brix. A custom YOLOv5 model trained on this<br/>data achieved 75% classification accuracy, with 72% precision, 68% recall, and a 69% F1-<br/>score. Compared to traditional refractometers, TAMIS reduces costs by nearly threefold,<br/>making it accessible to small-scale farmers. The system provides a real-time, scalable<br/>maturity analysis without damaging sugarcane, improving efficiency over invasive<br/>methods. Experimental results highlight TAMIS as an innovative and practical tool for<br/><br/>farmers, researchers, and industry professionals seeking accessible, ergonomic, and non-<br/>destructive solutions for sugarcane monitoring. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Sugarcane monitoring |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Non-invasive |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Raspberry pi |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Ilagan, Sofia Ysabel E. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lim, Brandon Bradley T., Zhi Wen |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Matic, Allen T. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mendoza, Airiz A. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Modequillo, Stephen Raynne G. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COE |
| Suppress in OPAC |
No |