A novel method for vegetable and fruit classification based on using diffusion maps and machine learning by Wenbo Wang, Aimin Zhu, Hongjiang Wei, Lijuan Yu

Subjects: “…Vegetables and fruits classification…”
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A new approach for visual identification of orange varieties using neural networks and metaheuristic algorithms by Sajad Sabzi, Yousef Abbaspour-Gilandeh, Ginés García-Mateos

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DeepFruit: A dataset of fruit images for fruit classification and calories calculation by Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar Alghazo

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The Novel Combination of Nano Vector Network Analyzer and Machine Learning for Fruit Identification and Ripeness Grading by Van Lic Tran, Thi Ngoc Canh Doan, Fabien Ferrero, Trinh Le Huy, Nhan Le-Thanh

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Using Texture Feature in Fruit Classification by Mauj H. Abd al karim, Abdulamir A. Karim

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Date fruit detection dataset for automatic harvesting by Yousra Zarouit, Hassan Zekkouri, Mohamed Ouhda, Brahim Aksasse

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A cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation by Jin Wang, Cheng Zhang, Ting Yan, Jingru Yang, Xiaohui Lu, Guodong Lu, Bincheng Huang

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Recognition system for fruit classification based on 8-layer convolutional neural network by Jia-Ji Wang

Subjects: “…fruit classification…”
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A hybrid deep learning-based fruit classification using attention model and convolution autoencoder by Gang Xue, Shifeng Liu, Yicao Ma

Subjects: “…Fruit classification…”
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A deep CNN approach to detect and classify local fruits through a web interface by Md.Mahbubur Rahman, Md.Abunoman Basar, Tahmina Sultana Shinti, Md.Saikat Islam Khan, Hafiz Md.Hasan Babu, Khandaker Mohammad Mohi Uddin

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Classification of Fruits Based on Shape and Color using Combined Nearest Mean Classifiers by Abdullah Abdullah, Agus Harjoko, Othman Mahmod

Subjects: “…fruit classification…”
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Classification of C. annuum and C. frutescens Ripening Stages: How Well Does Deep Learning Perform? by Marsyita Hanafi, Siti Mariam Shafie, Zarina Ibrahim

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IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning and Computer Vision by Mohammed Faisal, Mansour Alsulaiman, Mohammed Arafah, Mohamed Amine Mekhtiche

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Banana and Guava dataset for machine learning and deep learning-based quality classificationMendeley Data by Abiban Kumari, Jaswinder Singh

Subjects: “…Fruit classification…”
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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

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On Precision Agriculture: Enhanced Automated Fruit Disease Identification and Classification Using a New Ensemble Classification Method by Abid Mehmood, Muneer Ahmad, Qazi Mudassar Ilyas

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Classification of Tomato Fruit Using Yolov5 and Convolutional Neural Network Models by Quoc-Hung Phan, Van-Tung Nguyen, Chi-Hsiang Lien, The-Phong Duong, Max Ti-Kuang Hou, Ngoc-Bich Le

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Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques by Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi

Subjects: “…Fruit classification…”
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BananaSet: A dataset of banana varieties in Bangladesh by Md Ripon Sheikh, Md. Anwar Hossain, Moazzem Hossain, Md. Masudul Islam, Galib Muhammad Shahriar Himel

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A Review of Convolutional Neural Network Applied to Fruit Image Processing by José Naranjo-Torres, Marco Mora, Ruber Hernández-García, Ricardo J. Barrientos, Claudio Fredes, Andres Valenzuela

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