Convolutional Neural Networks for Olive Oil Classification - SpringerLink
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May 10, 2019 · In this paper we present a Convolutional Neural Network (CNN) that classifies olive oil chemical data obtained from GC-IMS method in their ...
The aim of this paper is to combine chemical techniques and Deep Learning approaches to automatically classify olive oil samples from two different harvests in ...
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Olive oil classification with Laser-induced fluorescence (LIF) spectra using 1-dimensional convolutional neural network and dual convolution structure model.
This study aimed to combine 1D-CNN and LIF for spectral analysis and olive oil classification. A specific convolutional neural network model that can be ...
There are three different olive oil categories that in descending order of quality are named as extra virgin olive oil (EVOO), virgin olive oil (VOO), and ...
Missing: Convolutional | Show results with:Convolutional
Olive-Oil-ML. Nuts and bolts deep learning library to make training neural networks easier. Features: Logging functionality not at set time intervals but as ...
Missing: Convolutional | Show results with:Convolutional
Oct 15, 2022 · This paper proposes the classification of LIF data using a specific 1-dimensional convolutional neural network (1D-CNN) model, which does not ...
Then, a convolutional neural network (CNN) was trained on this dataset to classify the quality and category of the fruits, thereby enhancing the efficiency of ...
Bibliographic details on Convolutional Neural Networks for Olive Oil Classification.
Jul 2, 2022 · convolutional neural networks, have been applied to the classification problem of vegetable oils (Zhao et al., 2022) with fluorescence data.