Motion-based visual inspection of optically indiscernible defects on the example of hazelnuts-Reference-Cited by-同舟云学术

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Motion-based visual inspection of optically indiscernible defects on the example of hazelnuts

Published:2021-06 Issue: Volume:185 Page:106147
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Maier Georg,Shevchyk Anja,Flitter Merle,Gruna Robin,Längle Thomas,Hanebeck Uwe D.,Beyerer Jürgen

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference37 articles.

1. Classification of bird species from video using appearance and motion features;Atanbori;Ecol. Informat.,2018

2. Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at middelgrunden offshore wind farm;Barthelmie;Wind Energy: Int. J. Prog. Appl. Wind Power Convers. Technol.,2007

3. Determination of applicability and effects of colour sorting system in bulgur production line;Bayram;J. Food Eng.,2006

4. Machine Vision: Automated Visual Inspection: Theory, Practice and Applications;Beyerer,2015

5. Imaging spectroscopy based strategies for ceramic glass contaminants removal in glass recycling;Bonifazi;Waste Manage.,2006

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1. A Survey of the State of the Art in Sensor-Based Sorting Technology and Research;IEEE Access;2024

2. Pyramid feature fusion through shifted window self-attention for tobacco leaf classification;Expert Systems with Applications;2023-11

3. Simulation study and experimental validation of a neural network-based predictive tracking system for sensor-based sorting;tm - Technisches Messen;2023-05-15

4. A critical review of artificial intelligence in mineral concentration;Minerals Engineering;2022-11

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