Visualizing Anthocyanins: Colorimertic Analysis of Blue Maize

Authors

  • Nur Fatihah Azmi Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, 76100, Malaysia
  • Luthffi Idzhar Ismail Department of Electrical & Electronic, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Roshahliza M. Ramli Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang 26600 Pekan, Pahang, Malaysia
  • Mushthofa Mushthofa Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia
  • Medria Kusuma Dewi Hardhienata Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia

DOI:

https://doi.org/10.37934/araset.46.1.201217

Keywords:

Anthocyanin, blue maize, colorimetry, IoT, RGB, color database, color measurement

Abstract

Anthocyanin, vibrant pigments found in a wide range of plants, including maize, contribute to the red, blue, and purple hues observed in fruits, vegetables, and grains. The inherent color variations in maize, including natural shades of purple, red, blue, and even rainbow colors, pose a significant challenge in accurately assessing maize maturity. This study recognizes the importance of visualizing the distinct blue purplish anthocyanin coloration to determine the optimal harvest time for blue maize, particularly among small-scale producers. To address this crucial need, this research project presents the development of the MaizeMeter, an advanced colorimeter specifically designed to analyze maize color based on anthocyanin pigmentation. Leveraging the power of Internet of Things (IoT) implementation, the MaizeMeter provides real-time monitoring and interpretation of anthocyanin color values. The proposed methodology encompasses the calibration of the color sensor and the prototyping of the MaizeMeter, culminating in the establishment of a comprehensive database of anthocyanin color profiles in blue maize. The generated anthocyanin color database by the MaizeMeter will serve as a vital tool for small-scale farmers and researchers, enabling more efficient and accurate assessment of maize maturity in the future.

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Author Biographies

Nur Fatihah Azmi, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, 76100, Malaysia

fatihah@gmail.com; fatihah@utem.edu.my

Luthffi Idzhar Ismail, Department of Electrical & Electronic, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

luthffi.ismail@upm.edu.my

Roshahliza M. Ramli, Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang 26600 Pekan, Pahang, Malaysia

roshahliza@ump.edu.my

Mushthofa Mushthofa, Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia

mush@apps.ipb.ac.id

Medria Kusuma Dewi Hardhienata, Department of Computer Science, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia

medria.hardhienata@apps.ipb.ac.id

Published

2024-06-04

Issue

Section

Articles