Maturity analysis and monitoring system for sugarcane crops
College
College of Computer Studies
Department/Unit
Computer Technology
Document Type
Conference Proceeding
Source Title
21st Mechatronics and Machine Vision in Practice, M2VIP 2015
Publication Date
1-1-2015
Abstract
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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Recommended Citation
Camacho, J. S., Co, A. A., Hao, J. S., Salazar, A. P., & Ilao, J. P. (2015). Maturity analysis and monitoring system for sugarcane crops. 21st Mechatronics and Machine Vision in Practice, M2VIP 2015 Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/2071
Keywords
Sugarcane—Development; Plants—Aging
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