Automatic fruit classification using deep learning for industrial applications

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Return of the Devil in the Details: Delving Deep into Convolutional NetsPreprint

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Automatic fruit and vegetable classification from images

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Application of Multispectral Imaging to Determine Quality Attributes and Ripeness Stage in Strawberry Fruit

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Detection of Hidden Bruise on Kiwi fruit Using Hyperspectral Imaging and Parallelepiped Classification

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Big Data-Driven Service Composition Using Parallel Clustered Particle Swarm Optimization in Mobile Environment

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Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system

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Introducing new shape features for classification of cucumber fruit based on image processing technique and artificial neural networks

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Shape-based Fruit Recognition and Classification

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Rician k-Factors-Based Sensor for Fruit Classification by Maturity Stage

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Fruit classification by HPA-SLFN

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Handwritten Feature Descriptor Methods Applied to Fruit Classification

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Deep Metallic Surface Defect Detection: The New Benchmark and Detection Network

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Real Time Classification of Fruits and Vegetables Deployed on Low Power Embedded Devices Using Tiny ML

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Implementing convolutional neural network model for prediction in medical imaging

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Leaf Features Extraction for Plant Classification using CNN

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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning

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Automated Fruit Classification Using Deep Convolutional Neural Network

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Research on Clothing Image Classification by Convolutional Neural Networks

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