A Systematic Approach of a Various Natural Acid-Base Indicator on Fruits Using CNN

Nithya C., Elarmathi S., Kavya G. S., Divya Bharathi G., Kumarganesh S., Malathi Murugesan

2025

Abstract

To determine the ripeness of citrus fruits, one of the most widely used indicators of fruit development is the Brix/acid ratio, which is the ratio of the fruit's sugar or soluble solids content to its acid content. A single spectrum can be subjected to successive applications of a diverse set of statistical models known as SGFP. These statistical models comprise particular models for differentiation of product categories, fruit type differentiation amongst citrus varieties, separation of multiple fruit types, and characterization of compositional differences between two sets of items that are otherwise highly similar. The Brix/acid ratio was estimated using fluorescence spectroscopy, a technique that is not only fast and sensitive but also very affordable. After the orange peels were removed, each peel's fluorescence value was calculated. The suggested system is unusual in that it analyses the fluorescence spectrum using a convolutional neural network (CNN). When performing fluorescence spectroscopy, a matrix known as an excitation and emission matrix (EEM) can be created. For every excitation and emission wavelength, the fluorescence intensity is noted in this matrix. A CNN was then used to perform a regression in order to determine the Brix/acid ratio of the juice that was collected from the meat. To do this, the EEM was viewed as a picture (CNN regression).

Paper Citation

in Harvard Style

C. N., S. E., S. K., G. D., S. K. and Murugesan M. (2025). A Systematic Approach of a Various Natural Acid-Base Indicator on Fruits Using CNN. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 330-336. DOI: 10.5220/0013882600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Nithya C. and Elarmathi S. and Kavya S. and Divya G. and Kumarganesh S. and Malathi Murugesan},
title={A Systematic Approach of a Various Natural Acid-Base Indicator on Fruits Using CNN},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={330-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013882600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - A Systematic Approach of a Various Natural Acid-Base Indicator on Fruits Using CNN
SN - 978-989-758-777-1
AU - C. N.
AU - S. E.
AU - S. K.
AU - G. D.
AU - S. K.
AU - Murugesan M.
PY - 2025
SP - 330
EP - 336
DO - 10.5220/0013882600004919
PB - SciTePress