Fruit Freshness Detection Using CNN-Reference-Cited by-同舟云学术

Fruit Freshness Detection Using CNN

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Futuristic Technologies (INCOFT)
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Author:

Kulkarni Mukund¹,Chaudhari Archana¹,Shegokar Shekhar¹,Rudrawar Krushna¹,Joshi Shaunak¹,Tibile Shruti¹,Tayade Isha¹

Affiliation:

1. Vishwakarma Institute of Technology,Department of Instrumentation Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094317/10094318/10094340.pdf?arnumber=10094340

Reference9 articles.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation;girshick;IEEE Conference on Computer Vision and Pattern Recognition,2013

2. Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

3. Fruit Freshness Grading Using Deep Learning;fu;Auckland University of Technology in partial fulfillment of the requirements for the degree of Master of Computer and Information Sciences (MCIS),2020

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5. Fruits Freshness Recognition System by Manipulating Versatile Neural Networks;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10