Maturity analysis and monitoring system for sugarcane crops
The sugarcane stalk and foliage colors are strong indicators of maturity. While outdoor conditions affect the lighting of the captured sugarcane image, external factors like shadows and over exposure can easily be neglected in the Hue Saturation Value (HSV) color space. Through a series of experimen...
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oai:animorepository.dlsu.edu.ph:faculty_research-30702021-08-13T02:42:02Z Maturity analysis and monitoring system for sugarcane crops Camacho, Jonathan Clark S. Co, Anthea Marina A. Hao, Jan Percival SJ Salazar, Ana Carmela P. Ilao, Joel P. The sugarcane stalk and foliage colors are strong indicators of maturity. While outdoor conditions affect the lighting of the captured sugarcane image, external factors like shadows and over exposure can easily be neglected in the Hue Saturation Value (HSV) color space. Through a series of experimentations in the HSV color space, the proponents found out that there is a significant shifting of Hue and Saturation values as sugarcane crops mature. The Hue and Saturation frequencies of both matured and not matured sugarcanes were used as data for the maturity detection comparison module which utilizes Random Forest algorithm with 90.16% accuracy. © 2015, Mechatronics and Machine Vision in Practice. All rights reserved. 2015-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2071 Faculty Research Work Animo Repository Sugarcane—Development Plants—Aging |
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Sugarcane—Development Plants—Aging Camacho, Jonathan Clark S. Co, Anthea Marina A. Hao, Jan Percival SJ Salazar, Ana Carmela P. Ilao, Joel P. Maturity analysis and monitoring system for sugarcane crops |
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The sugarcane stalk and foliage colors are strong indicators of maturity. While outdoor conditions affect the lighting of the captured sugarcane image, external factors like shadows and over exposure can easily be neglected in the Hue Saturation Value (HSV) color space. Through a series of experimentations in the HSV color space, the proponents found out that there is a significant shifting of Hue and Saturation values as sugarcane crops mature. The Hue and Saturation frequencies of both matured and not matured sugarcanes were used as data for the maturity detection comparison module which utilizes Random Forest algorithm with 90.16% accuracy. © 2015, Mechatronics and Machine Vision in Practice. All rights reserved. |
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Camacho, Jonathan Clark S. Co, Anthea Marina A. Hao, Jan Percival SJ Salazar, Ana Carmela P. Ilao, Joel P. |
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Camacho, Jonathan Clark S. Co, Anthea Marina A. Hao, Jan Percival SJ Salazar, Ana Carmela P. Ilao, Joel P. |
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Camacho, Jonathan Clark S. |
title |
Maturity analysis and monitoring system for sugarcane crops |
title_short |
Maturity analysis and monitoring system for sugarcane crops |
title_full |
Maturity analysis and monitoring system for sugarcane crops |
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Maturity analysis and monitoring system for sugarcane crops |
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Maturity analysis and monitoring system for sugarcane crops |
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maturity analysis and monitoring system for sugarcane crops |
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Animo Repository |
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2015 |
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https://animorepository.dlsu.edu.ph/faculty_research/2071 |
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