Deep learning-based approach for classifying mandarin orange maturity

This study evaluates the performance of deep learning models, including EfficientNetB0, ResNet50, VGG16, and a Custom CNN, for classifying fruit ripeness into unripe, ripe, and overripe stages.

Authors

Poonam Mishra (ORCID: https://orcid.org/0000-0001-5250-1286)
C. Nickhil
Sankar Chandra Deka (ORCID: https://orcid.org/0000-0003-2172-3331)
Konga Upendar (ORCID: https://orcid.org/0000-0002-2044-5619)
Raj Singh

Institutions

Tezpur University (IN)
Centurion University of Technology and Management (IN)

Publication Details

Journal: Sustainable Food Technology
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5fb00408j
Primary Topic: Spectroscopy and Chemometric Analyses
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Deep learning-based approach for classifying mandarin orange maturity

Poonam Mishra, C. Nickhil, Sankar Chandra Deka, Konga Upendar et al.

Jan 1, 2025

Sustainable Food Technology

Spectroscopy and Chemometric Analyses

article

Deep learning-based approach for classifying mandarin orange maturity

Poonam Mishra, C. Nickhil, Sankar Chandra Deka, Konga Upendar, Raj Singh

January 1, 2025article en

Abstract

This study evaluates the performance of deep learning models, including EfficientNetB0, ResNet50, VGG16, and a Custom CNN, for classifying fruit ripeness into unripe, ripe, and overripe stages.

Sustainable Food TechnologyVol. 3(6)

Tezpur University (IN), Centurion University of Technology and Management (IN)

Openalex Percentile: Top 68%

Spectroscopy and Chemometric Analyses

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.