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Fruit type classification using deep learning and feature fusion

  • Published:2023-08 Issue: Volume:211 Page:107990
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Gill Harmandeep Singh,Murugesan G.,Mehbodniya Abolfazi,Sekhar Sajja Guna,Gupta Gaurav,Bhatt Abhishek

Publisher

Elsevier BV

Subject

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

Reference36 articles.

1. Date fruit classification for robotic harvesting in a natural environment using deep learning;Altaheri;IEEE Access,2019

2. Chung, Dang Thi Phuong, and Dinh Van Tai. “A fruits recognition system based on a modern deep learning technique.”Journal of physics: conference series. Vol. 1327. No. 1. IOP Publishing, 2019.

3. Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches;Elwirehardja;Comput. Electron. Agric.,2021

4. Fruit recognition from images using deep learning applications;Gill;Multimed. Tools Appl.,2022

5. Learning feature fusion in deep learning-based object detector;Hassan;J. Eng.,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Healthy and Frozen Pomegranates Using Hyperspectral Imaging and Deep Learning;Horticulturae;2024-01-01

2. Deep learning models for digital image processing: a review;Artificial Intelligence Review;2024-01

3. Fruit Type Classification using Stacked Bi-directional Long Short Term Memory;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20
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