Scopus
YÖKSİS DOI Eşleşti
SJR Q2
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · Nisan 2026
YÖKSİS Kayıtları
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · 2026 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · 2026 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · 2026 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · 2026 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
Applied Fruit Science · 2026 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Energy Use Efficiency and Greenhouse Gas Emissions in Plum (Prunus domestica L.) Production: Evidence from Central Türkiye
2026 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. ZEKİ BAYRAMOĞLU →
Energy Use Efficiency and Greenhouse Gas Emissions in Sour Cherry (Prunus cerasus L.) Production Systems in Türkiye
2026 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. ZEKİ BAYRAMOĞLU →
Energy Use and Emission Efficiency in White Cherry Production: Evidence from Türkiye
2026 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. ZEKİ BAYRAMOĞLU →
Energy Use and Emission Efficiency in White Cherry Production: Evidence from Türkiye
2026 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. HASAN GÖKHAN DOĞAN →
Benchmarking Analysis of CNN Models for Maturity Levels of Guavas
2026 ISSN: 2948-2623 SCI-Expanded
Öğr. Gör. AYŞEGÜL TOPRAK →
Determination of Energy Use Efficiency, Greenhouse Gas Emissions and Production Costs in Organic Table Grape Production in Turkey
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. ZEKİ BAYRAMOĞLU →
Energy Use and Carbon Emissions of Walnut Production in Türkiye
2024 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. ZEKİ BAYRAMOĞLU →
Energy Use and Carbon Emissions of Walnut Production in Türkiye
2024 ISSN: 2948-2623 SCI-Expanded Q4
Prof. Dr. HASAN GÖKHAN DOĞAN →
Determination of Energy Use Efficiency and Greenhouse Gas (GHG) Emissions of Pecan (Carya illinoiensis) Production in Türkiye
2024 ISSN: 2948-2623 SCI-Expanded Q3
Dr. Öğr. Üyesi İREM AYRAN ÇOLAK →
Determination of Nutritional Element Contents of Almonds and Walnuts With and Without K-Humate Application
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. MUSTAFA HARMANKAYA →
The Impact of Fruit Production and Trade on Global Climate Change: The Case of EU-27 Countries
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. HASAN GÖKHAN DOĞAN →
Effects of Rhizobacteria on the Nutritional Status of Blackberry Cultivars Grown in Calcareous Soil Conditions
2024 ISSN: 2948-2623 SCI-Expanded
Prof. Dr. MUZAFFER İPEK →
The Relationship Between High Lime Content, Rhizobacteria, and Antioxidant Enzymes in Blackberry Cultivation
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. MUZAFFER İPEK →
Regulation of the Negative Effects of Lime-Induced Stress on Plant Hormone Balance in Blackberry by Plant Growth-Promoting Rhizobacteria
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. MUZAFFER İPEK →
Regulation of the Negative Effects of Lime-Induced Stress on Plant Hormone Balance in Blackberry by Plant Growth-Promoting Rhizobacteria
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. AHMET EŞİTKEN →
The Relationship Between High Lime Content, Rhizobacteria, and Antioxidant Enzymes in Blackberry Cultivation
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. AHMET EŞİTKEN →
Effects of Rhizobacteria on the Nutritional Status of Blackberry Cultivars Grown in Calcareous Soil Conditions
2024 ISSN: 2948-2623 SCI-Expanded Q3
Prof. Dr. AHMET EŞİTKEN →
Strawberries from Konya in the Central Anatolia Region of Türkiye: Phenolic Profile, Antioxidant Potential and Mineral Composition
2024 ISSN: 2948-2623 SCI-Expanded
Doç. Dr. SALİHA DİNÇ →
Effects of Rhizobacteria on the Nutritional Status of Blackberry Cultivars Grown in Calcareous Soil Conditions
2024 ISSN: 2948-2623 SCI-Expanded Q3
Doç. Dr. ŞEYMA ARIKAN →
The Relationship Between High Lime Content, Rhizobacteria, and Antioxidant Enzymes in Blackberry Cultivation
2024 ISSN: 2948-2623 SCI-Expanded Q3
Doç. Dr. ŞEYMA ARIKAN →
Makale Bilgileri
Dergi
Applied Fruit Science
ISSN29482623
Yayın TarihiNisan 2026
Cilt / Sayfa68
Scopus ID2-s2.0-105031153064
Özet
Guava (Psidium guajava L.) is a vital tropical fruit in terms of nutrition and economic value. Correctly identifying its maturity stage is essential for extending shelf life, maintaining nutritional quality, and meeting export standards. However, this is challenging due to the changes in color, texture, and aroma during ripening. Three guava varieties (‘Local Sindhi’, ‘Thadhrami’, and ‘Riyali’) were classified into three maturity levels using a dataset of 2309 images: 232 green, 829 mature green, and 1248 ripe guavas. Three convolutional neural network (CNN) models (MobileNetV2, ResNet50, and VGG 19) were trained on 80% of the dataset and tested on the remaining 20%. Classification accuracy was 85.7% for MobileNetV2, 86.6% for ResNet50, and 82.9% for VGG19. Evaluation metrics included sensitivity, specificity, precision, and F1 score. ResNet50 achieved the highest performance. The results confirm the potential of deep learning techniques for accurately determining guava maturity levels. Such methods can support producers in making informed decisions, minimizing waste, and improving overall fruit quality for markets.
Yazarlar (1)
1
Ayşegül Toprak
Anahtar Kelimeler
Classification
MobileNetV2
Psidium guajavaL
ResNet50
VGG19
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Applied Fruit Science
Q2
SJR Skoru0,308
H-Index8
YayıncıSpringer Science and Business Media Deutschland GmbH
ÜlkeGermany
Horticulture (Q2)
Metrikler
1
Atıf
1
Yazar
5
Anahtar Kelime