Maturity analysis and monitoring system for sugarcane crops

Authors

Jonathan Clark S. Camacho, De La Salle University, Manila
Anthea Marina A. Co, De La Salle University, Manila
Jan Percival S.J. Hao, De La Salle University, Manila
Ana Carmela P. Salazar, De La Salle University, Manila
Joel P. Ilao, De La Salle University, Manila

College

College of Computer Studies

Department/Unit

Computer Technology

Document Type

Article

Source Title

Mechatronics and Machine Vision in Practice 3

First Page

131

Last Page

153

Publication Date

4-4-2018

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 RandomForest algorithm with 90.16% accuracy. © Springer International Publishing AG, part of Springer Nature 2018.

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Digitial Object Identifier (DOI)

10.1007/978-3-319-76947-9_10

Recommended Citation

Camacho, J. S., Co, A. A., Hao, J. S., Salazar, A. P., & Ilao, J. P. (2018). Maturity analysis and monitoring system for sugarcane crops. Mechatronics and Machine Vision in Practice 3, 131-153. https://doi.org/10.1007/978-3-319-76947-9_10

Disciplines

Computer Sciences

Keywords

Sugarcane—Development; Plants—Aging

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