Development and Simulation of a Hue-Based HMI Application for Vegetable Leaf Greenness Analysis

This study aims to design, develop, and evaluate, through simulation, a Visual Basic 6.0-based HMI (Human-Machine Interface) application to support the analysis of leaf greenness using the Hue feature in the HSV (Hue, Saturation, Value) color space. The system consists of a camera, a Wi-Fi modem/router, a PC, and the HMI application. This application was developed to load or capture images, read RGB values, convert RGB to HSV, calculate Hue and Saturation, and visually classify leaf green colors. The novelty of this research lies in the integration of a simple workflow—comprising image acquisition, color conversion, Hue extraction, rule-based classification, and simulation testing—within a single HMI interface. Evaluation was conducted through black-box testing, algorithmic verification of RGB-HSV conversion, and sRGB/CSS color fixtures. The results show that all application functions operate as designed and that the generated Hue values are consistent with the reference formula. This research is the result of a software prototype that can be applied to the conversion from RGB to HSV, which has been validated within a Human-Machine Interface (HMI)—not merely for the physiological validation of plants, nor for its quantitative advantages over other color indices, but as a foundation for students to develop image-based leaf analysis in future research.

@article{Syamsi2026,
  title     = {Development and Simulation of a Hue-Based HMI Application for Vegetable Leaf Greenness Analysis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {9},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Djohar Syamsi and Mimin Muhaemin and Oviyanti Mulyani and Hanif Fakhrurroja and Puput Dani Prasetyo Adi},
  doi       = {10.14569/IJACSA.2026.0170951},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170951}
}