A Real-Time IoT and Image Processing based Weeds Classification System for Selective Herbicide-Reference-Cited by-同舟云学术

A Real-Time IoT and Image Processing based Weeds Classification System for Selective Herbicide

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
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Author:

Ahmad Misbah¹,Adnan Awais¹,Chehri Abdellah²

Affiliation:

1. Institute of Management Sciences,Center of Excellence in IT,Hayatabad,Peshawar,Pakistan

2. University of Quebec, UQAC,Department of Applied Sciences,Chicoutimi,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860524.pdf?arnumber=9860524

Reference20 articles.

1. Multi-type Feature Fusion Technique for Weed Identification in Cotton Fields

2. A real time efficient management of onions weeds based on a multilayer perceptron neural networks technique;tannouche;International Journal of Farming and Allied Sciences,2015

3. A real-time specific weed recognition system using statistical methods;imranahmed;International Journal of Computer Information and Systems Science and Engineering,0

4. Edge based real-time weed recognition system for selective herbicides;imranahmed;Proceedings of the International MultiConference of Engineers and Computer Scientists,2008

5. A Real-Time Specific Weed Recognition System by Measuring Weeds Density through Mask Operation

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1. Effect of Different Herbicides on Development and Productivity of Sweet White Lupine (Lupinus albus L.);Agronomy;2024-02-28

2. Robotic Weed Control and Biodiversity Preservation: IoT Solutions for Sustainable Farming;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22