FruitQ: a new dataset of multiple fruit images for freshness evaluation

Author:

Abayomi-Alli Olusola O.,Damaševičius RobertasORCID,Misra Sanjay,Abayomi-Alli Adebayo

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preserving freshness:Innovations for fresh-eating fruit distribution and damage prevention – A review;Food Packaging and Shelf Life;2024-07

2. LeafSpotNet: A deep learning framework for detecting leaf spot disease in jasmine plants;Artificial Intelligence in Agriculture;2024-06

3. Leafy vegetable freshness identification using hyperspectral imaging with deep learning approaches;Infrared Physics & Technology;2024-05

4. Rotten and Fresh Fruits Classification using Deep Learning;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Fruit freshness detection based on multi-task convolutional neural network;Current Research in Food Science;2024

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