XAI-FruitNet: An explainable deep model for accurate fruit classification by Shirin Sultana, Md All Moon Tasir, S.M. Nuruzzaman Nobel, Md Mohsin Kabir, M.F. Mridha

Subjects: Get full text

Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification by Mohanmuralidhar Prajwala, Prabhuswamy Prajwal Kumar, Shanubhog Maheshwarappa Gopinath, Shivakumara Palaiahnakote, Mahadevappa Basavanna, Daniel P. Lopresti

Subjects: Get full text

FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detectionMendeley Data by Md. Hasan Imam Bijoy, Syeda Zarin Tasnim, Syed Ali Awsaf, Md. Zahid Hasan

Subjects: Get full text

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models by Esraa Hassan, Sarah Abu Ghazalah, Nora El-Rashidy, Tarek Abd El-Hafeez, Tarek Abd El-Hafeez, Mahmoud Y. Shams

Subjects: “…fruit classification…”
Get full text

A comprehensive image dataset of Bangladeshi mango varietyMendeley Data by Rup Kumar Bharati, Md. Masudul Islam, Md Ripon Sheikh, Galib Muhammad Shahriar Himel

Subjects: Get full text

StarNet: Indian star gooseberries dataset for quality and maturity assessment(Mendeley Data). by Pushpa B․ R․, Manohar N․, N. Shobha Rani

Subjects: “…Star gooseberry fruit classification…”
Get full text

Classification of Some Fruits using Image Processing and Machine Learning by Dilara Gerdan Koç, Mustafa Vatandaş

Subjects: “…fruit classification…”
Get full text

Deep learning approach for automated ‘Kent’ mango maturity grading in compliance with Peruvian standards by Orlando Salazar-Campos, Javier Moran Ruiz, José Luis Peralta, Mirian Rubio Cieza, Breysi Salazar Medina, Johonathan Salazar-Campos

Subjects: Get full text

FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface by Tasauf Mim, Md Mahbubur Rahman, Jahanur Biswas, Ahmad Shafkat, Khandaker Mohammad Mohi Uddin

Subjects: Get full text