A novel method for non-invasive detection of aflatoxin contaminated dried figs with deep transfer learning approach

Author:

Kılıç Cihan,İnner Burak

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference42 articles.

1. Understanding of a convolutional neural network;Albawi,2018

2. Transfer learning in breast cancer diagnoses via ultrasound imaging;Ayana;Cancers (Basel).,2021

3. Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis–NIR (400–1000 nm) hyperspectral imaging;Chakraborty;J. Food Sci. Technol.,2020

4. Classification of aflatoxin contaminated single corn kernels by ultraviolet to near infrared spectroscopy;Cheng;Food Control,2019

5. Commission regulation (EU) no 165/2010 of 26 February 2010, amending regulation (EC) no 1881/2006 setting maximum levels for certain contaminants in foodstuffs as regards aflatoxin;European Commission-EC;Off. J. Eur. Union L,2010

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