Maturity Analysis and Monitoring System for Sugarcane Crops

  • Jonathan Clark S. Camacho
  • Anthea Marina A. Co
  • Jan Percival S. J. Hao
  • Ana Carmela P. Salazar
  • Joel P. Ilao
Chapter

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.

Keywords

Sugarcane Maturity analysis HSV Automation Principal component analysis 

Notes

Acknowledgements

The authors would like to thank the following agriculturists and sugarcane plantation managers and owners for sharing their expertise on sugarcane farming: Mauro Merculio, Vivencio Sangil, Virgilio Obra, Dr. Norvie Manigbas, and Mr. Clarence Ortiz.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jonathan Clark S. Camacho
    • 1
  • Anthea Marina A. Co
    • 1
  • Jan Percival S. J. Hao
    • 1
  • Ana Carmela P. Salazar
    • 1
  • Joel P. Ilao
    • 1
  1. 1.College of Computer Studies de La Salle UniversityManilaPhilippines

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