Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT-Reference-Cited by-同舟云学术

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Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET)
language:
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Author:

Das Soumitra¹,Nandgaonkar Vikas N¹,Dasab Purushottam²,Saini DilipKumar Jang Bahadur³,Biradar Ramdas G⁴,Bhatt Ashutosh⁵

Affiliation:

1. Indira College OF Engineering &management,Department of Computer Science and Engineering,Pune

2. CSE, Graphic Era Hill University,Dehradun,India

3. School of Engineering and Technology Pimpri Chinchwad University,Department of Computer Science and Engineering,Pune

4. School of Engineering and Technology Pimpri Chinchwad University,Pune

5. Himalayan School of Science & Technology, Swami Rama Himalayan University,Department of Computer Science and Engineering,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303027/10303030/10303307.pdf?arnumber=10303307

Reference16 articles.

1. IoT based Grocery Management System: Smart Refrigerator and Smart Cabinet

2. Self‐adaptive brainstorming for jobshop scheduling in multicloud environment

3. Automated Surveillance Robots for Harsh Climatic Conditions like Siachen

4. Smart Surveillance Robot using Object Detection

5. Agriculture based plant leaf health assessment tool: A Deep Learning perspective

Cited by 1 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. Internet of Things Oriented Smart Refrigerator Design Using Emerging Technology Association with Less Expensive Considerations;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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