Fruit classification using computer vision and feedforward neural network

Y Zhang, S Wang, G Ji, P Phillips - Journal of Food Engineering, 2014 - Elsevier
Fruit classification is a difficult challenge due to the numerous types of fruits. In order to
recognize fruits more accurately, we proposed a hybrid classification method based on …

Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization

S Wang, Y Zhang, G Ji, J Yang, J Wu, L Wei - Entropy, 2015 - mdpi.com
Fruit classification is quite difficult because of the various categories and similar shapes and
features of fruit. In this work, we proposed two novel machine-learning based classification …

Fruit classification by biogeography‐based optimization and feedforward neural network

Y Zhang, P Phillips, S Wang, G Ji, J Yang… - Expert Systems, 2016 - Wiley Online Library
Accurate fruit classification is difficult to accomplish because of the similarities among the
various categories. In this paper, we proposed a novel fruit‐classification system, with the …

[PDF][PDF] Fruit Image Classification Using Deep Learning.

HS Gill, OI Khalaf, Y Alotaibi… - … , Materials & Continua, 2022 - cdn.techscience.cn
Fruit classification is found to be one of the rising fields in computer and machine vision.
Many deep learning-based procedures worked out so far to classify images may have some …

A comprehensive review of fruit and vegetable classification techniques

K Hameed, D Chai, A Rassau - Image and Vision Computing, 2018 - Elsevier
Recent advancements in computer vision have enabled wide-ranging applications in every
field of life. One such application area is fresh produce classification, but the classification of …

Fruit recognition from images using deep learning applications

HS Gill, G Murugesan, BS Khehra, GS Sajja… - Multimedia Tools and …, 2022 - Springer
Smart imaging devices have been used at a rapid rate in the agriculture sector for the last
few years. Fruit recognition and classification is noticed as one of the looming sectors in …

[PDF][PDF] Fresh and Rotten Fruits Classification Using CNN and Transfer Learning.

SSS Palakodati, VRR Chirra, D Yakobu… - Rev. d'Intelligence …, 2020 - academia.edu
Accepted: 12 October 2020 Detecting the rotten fruits become significant in the agricultural
industry. Usually, the classification of fresh and rotten fruits is carried by humans is not …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

Classification of fruits using computer vision and a multiclass support vector machine

Y Zhang, L Wu - sensors, 2012 - mdpi.com
Automatic classification of fruits via computer vision is still a complicated task due to the
various properties of numerous types of fruits. We propose a novel classification method …

Automatic detection and grading of multiple fruits by machine learning

A Bhargava, A Bansal - Food Analytical Methods, 2020 - Springer
Classification of various types of fruits and identification of the grading of fruit is a
burdensome challenge due to the mass production of fruit products. In order to distinguish …