Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things

Intelligent farming machines are becoming a new trend in modern agriculture. The intelligence and automation allow planting to become data-driven, leading to more timely and cost-effective production and management of farms and improving the quality and output of farm products. This paper presents a...

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Autores principales:	Jing Zhang, Zhaochun Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/da854e6f699b4cf289818e206fa99698
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spelling	oai:doaj.org-article:da854e6f699b4cf289818e206fa996982021-11-22T01:11:30ZIntelligent Tea-Picking System Based on Active Computer Vision and Internet of Things1939-012210.1155/2021/5302783https://doaj.org/article/da854e6f699b4cf289818e206fa996982021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5302783https://doaj.org/toc/1939-0122Intelligent farming machines are becoming a new trend in modern agriculture. The intelligence and automation allow planting to become data-driven, leading to more timely and cost-effective production and management of farms and improving the quality and output of farm products. This paper presents a proposal for developing a type of intelligent tea picking machine based on active computer vision and Internet of Things (IoT) techniques. The intelligent tea picking machine possesses an active vision system for new tip positioning and can automatically implement tea picking operation in the natural environment. The active vision system provided with a cross-light path of projection and camera is designed according to the actual characteristics of picking surface, where new tips can be recognized by referring to the color factor and their height information is easily acquired by fringe projection profilometry. Furthermore, the machine attaches wireless communication equipment to transmit the real-time status of the tea picking process to an intermediary platform and eventually to the Internet for extensive data analysis. The data such as color factor and quantity of new tips collected through IoT can be used for different quality and production evaluations. The focus of this paper can promote the automation and intelligence of tea pickers and agricultural machinery.Jing ZhangZhaochun LiHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Jing Zhang Zhaochun Li Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
description	Intelligent farming machines are becoming a new trend in modern agriculture. The intelligence and automation allow planting to become data-driven, leading to more timely and cost-effective production and management of farms and improving the quality and output of farm products. This paper presents a proposal for developing a type of intelligent tea picking machine based on active computer vision and Internet of Things (IoT) techniques. The intelligent tea picking machine possesses an active vision system for new tip positioning and can automatically implement tea picking operation in the natural environment. The active vision system provided with a cross-light path of projection and camera is designed according to the actual characteristics of picking surface, where new tips can be recognized by referring to the color factor and their height information is easily acquired by fringe projection profilometry. Furthermore, the machine attaches wireless communication equipment to transmit the real-time status of the tea picking process to an intermediary platform and eventually to the Internet for extensive data analysis. The data such as color factor and quantity of new tips collected through IoT can be used for different quality and production evaluations. The focus of this paper can promote the automation and intelligence of tea pickers and agricultural machinery.
format	article
author	Jing Zhang Zhaochun Li
author_facet	Jing Zhang Zhaochun Li
author_sort	Jing Zhang
title	Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
title_short	Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
title_full	Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
title_fullStr	Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
title_full_unstemmed	Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things
title_sort	intelligent tea-picking system based on active computer vision and internet of things
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/da854e6f699b4cf289818e206fa99698
work_keys_str_mv	AT jingzhang intelligentteapickingsystembasedonactivecomputervisionandinternetofthings AT zhaochunli intelligentteapickingsystembasedonactivecomputervisionandinternetofthings
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Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things

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