Research on Remote Monitoring System for Green Farm Automatic Control

碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 101 === Traditional agriculture farm conditions are usually determined by farmers, which can’t obtain the information of farms immediately. In this research, solar energy is used as a power supply, and MCU (Micro-Controller Unit) is used for sensor computing. Hig...

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Main Authors: Ting-TzungChen, 陳廷宗
Other Authors: Shiang-Liang Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/26412348361190114391
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spelling ndltd-TW-101NCKU56210272015-10-13T22:51:45Z http://ndltd.ncl.edu.tw/handle/26412348361190114391 Research on Remote Monitoring System for Green Farm Automatic Control 綠色農場遠端自動化監控系統之研究 Ting-TzungChen 陳廷宗 碩士 國立成功大學 製造資訊與系統研究所碩博士班 101 Traditional agriculture farm conditions are usually determined by farmers, which can’t obtain the information of farms immediately. In this research, solar energy is used as a power supply, and MCU (Micro-Controller Unit) is used for sensor computing. High-transmission-speed Wi-Fi module is adapted for transmitting the sensor signals to remote monitoring system. Temperature sensor, moisture sensor and soil moisture sensor are used to build up the wireless sensor network for remote system of green farm. We use C# programming language to design the monitoring system interface for users. A sprinkler system is designed in this research with soil moisture sensor, and the soil moisture quantity will determine whether to start the sprinkler system or not. Our research designs green farm website and Facebook, when farm products have finished producing, managers can put all of farm products onto the website. This way, customers can select products online. When customers finish purchasing products, they can select the logistics which delivery products for completing the marketing process. The purpose of our research is to enhance and improve the transmission efficiency of information for farmers. Shiang-Liang Chen 陳響亮 2013 學位論文 ; thesis 68 zh-TW
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description 碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 101 === Traditional agriculture farm conditions are usually determined by farmers, which can’t obtain the information of farms immediately. In this research, solar energy is used as a power supply, and MCU (Micro-Controller Unit) is used for sensor computing. High-transmission-speed Wi-Fi module is adapted for transmitting the sensor signals to remote monitoring system. Temperature sensor, moisture sensor and soil moisture sensor are used to build up the wireless sensor network for remote system of green farm. We use C# programming language to design the monitoring system interface for users. A sprinkler system is designed in this research with soil moisture sensor, and the soil moisture quantity will determine whether to start the sprinkler system or not. Our research designs green farm website and Facebook, when farm products have finished producing, managers can put all of farm products onto the website. This way, customers can select products online. When customers finish purchasing products, they can select the logistics which delivery products for completing the marketing process. The purpose of our research is to enhance and improve the transmission efficiency of information for farmers.
author2 Shiang-Liang Chen
author_facet Shiang-Liang Chen
Ting-TzungChen
陳廷宗
author Ting-TzungChen
陳廷宗
spellingShingle Ting-TzungChen
陳廷宗
Research on Remote Monitoring System for Green Farm Automatic Control
author_sort Ting-TzungChen
title Research on Remote Monitoring System for Green Farm Automatic Control
title_short Research on Remote Monitoring System for Green Farm Automatic Control
title_full Research on Remote Monitoring System for Green Farm Automatic Control
title_fullStr Research on Remote Monitoring System for Green Farm Automatic Control
title_full_unstemmed Research on Remote Monitoring System for Green Farm Automatic Control
title_sort research on remote monitoring system for green farm automatic control
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/26412348361190114391
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