Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques-Reference-Cited by-同舟云学术

Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques

Published:2023-03 Issue: Volume:17 Page:100891
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Azadnia Rahim,Fouladi Saman,Jahanbakhshi Ahmad

Publisher

Elsevier BV

Subject

General Engineering

Reference47 articles.

1. Real-time visual inspection system for grading fruits using computer vision and deep learning techniques;Ismail;Information Processing in Agriculture,2022

2. Evaluation and comparison and the performance of pressurized and vacuum cylindrical distributors in soybean cultivation;Alipour;Results in Engineering,2022

3. Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits;Çetin;Chemometr. Intell. Lab. Syst.,2022

4. Recognition of leaves of different medicinal plant species using a robust image processing algorithm and artificial neural networks classifier;Azadnia;J. Appl. Res. Med. Aromatic Plants,2021

5. Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks;Momeny;Ecol. Inf.,2022

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