Sucrose Crystal Classification and Quality Identification Using Screen Size and Yolov5

Sugarcane is a tropical grass that grows worldwide and is mainly utilized in sugar production. Even in the Philippines, it is one of the contributors for the country's revenue and can be found in most regions, spanning about 422,500 hectares. Sugar production in the Philippines is lower than in most producing countries, which presents a challenge for local sugarcane farmers. One of the reasons for this drop, according to the related studies, is that sugarcane farmers in provinces continue to employ conventional growing methods. Several studies have found that technology is being incorporated into agricultural equipment. utilizing this information, the researchers built a device with a Raspberry Pi and a web camera to classify and detect the quality of sucrose crystals with Yolov5.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1109/iccae64891.2025.10980584
Primary Topic
Enzyme Production and Characterization
Type
article
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article

Sucrose Crystal Classification and Quality Identification Using Screen Size and Yolov5

Aira Laurencia T. Navarro, Noel B. Linsangan, Chabelita Jaramilla
Enzyme Production and Characterization
article

Sucrose Crystal Classification and Quality Identification Using Screen Size and Yolov5

Aira Laurencia T. Navarro, Noel B. Linsangan, Chabelita Jaramilla
article en

Abstract

Sugarcane is a tropical grass that grows worldwide and is mainly utilized in sugar production. Even in the Philippines, it is one of the contributors for the country's revenue and can be found in most regions, spanning about 422,500 hectares. Sugar production in the Philippines is lower than in most producing countries, which presents a challenge for local sugarcane farmers. One of the reasons for this drop, according to the related studies, is that sugarcane farmers in provinces continue to employ conventional growing methods. Several studies have found that technology is being incorporated into agricultural equipment. utilizing this information, the researchers built a device with a Raspberry Pi and a web camera to classify and detect the quality of sucrose crystals with Yolov5.

University of the Philippines Manila (PH)
Openalex Percentile: Top 88%
Enzyme Production and Characterization
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