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Investigating the Freshness of Selected Fruits with Deep Learning Method

https://doi.org/10.2139/ssrn.4823833
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inferredcites →https://doi.org/10.1007/s12161-017-1050-8openalex-extracted
Nondestructive Freshness Discriminating of Shrimp Using Visible/Near-Infrared Hyperspectral Imaging Technique and Deep Learning Algorithm
inferredcites →https://doi.org/10.1007/s42979-022-01152-7openalex-extracted
Grading Methods for Fruit Freshness Based on Deep Learning
inferredcites →https://doi.org/10.1016/j.inpa.2016.10.003openalex-extracted
Computer vision-based apple grading for golden delicious apples based on surface features
inferredcites →https://doi.org/10.1016/j.procs.2016.03.055openalex-extracted
Computer Vision Based Fruit Grading System for Quality Evaluation of Tomato in Agriculture industry
inferredcites →https://doi.org/10.1016/j.scienta.2021.110684openalex-extracted
Fruit quality and defect image classification with conditional GAN data augmentation
inferredcites →https://doi.org/10.1088/1755-1315/794/1/012110openalex-extracted
A Design of Deep Learning Experimentation for Fruit Freshness Detection
inferredcites →https://doi.org/10.1108/00070700910941453openalex-extracted
Freshness of fruits and vegetables: consumer language and perception
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/itoec.2017.8122370openalex-extracted
Fruit and vegetables classification system using image saliency and convolutional neural network
inferredcites →https://doi.org/10.1142/s0219691318500030openalex-extracted
Automatic segmentation and classification of olive fruits batches based on discrete wavelet transform and visual perceptual texture features
inferredcites →https://doi.org/10.2478/ausi-2018-0002openalex-extracted
Fruit recognition from images using deep learning
inferredcites →https://doi.org/10.3389/fpls.2019.00611openalex-extracted
Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree
inferredcites →https://doi.org/10.35377/saucis.03.02.717452openalex-extracted
Classification of Robust and Rotten Apples by Deep Learning Algorithm
inferredcites →https://doi.org/10.3906/elk-1904-180openalex-extracted
A hybrid model based on the convolutional neural network model and artificial bee colony or particle swarm optimization-based iterative thresholding for the detection of bruised apples
inferredcites →https://doi.org/10.48550/arxiv.1605.09081openalex-extracted
Understanding Convolutional Neural Networks
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