A study on Internet of Things for Mushroom cultivation in high humidity house

碩士 === 亞洲大學 === 資訊工程學系 === 106 === In the past, people only paid attention to the output and price of agricultural products, but in nowaday people begin attention to the quality of agricultural products and food safety issues. Because people are beginning to pay attention to the quality of agricul...

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Bibliographic Details
Main Authors: Chou Yen Ting, 周彥廷
Other Authors: Zhi-Ren Tsai
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/2398gq
Description
Summary:碩士 === 亞洲大學 === 資訊工程學系 === 106 === In the past, people only paid attention to the output and price of agricultural products, but in nowaday people begin attention to the quality of agricultural products and food safety issues. Because people are beginning to pay attention to the quality of agricultural products and food safety issues, so the traditional management ways of farming and greenhouse cultivation can no longer that meet the needs of the present place. Therefore, many agricultural producers started to adopt the automated production management technologies of "Industry 4.0", for example, using the "Internet of Things" technology to monitor the greenhouse and then use "Cloud Computing" and "Big Data Analysis" together with "artificial intelligence" Turn greenhouse management into a fully automated, ... way to improve the quality of crops and address consumers' worries about food safety. In this paper, we reseach how to cultivate edible / medicinal mushrooms by using "Mushroom House". Manufacturers are so always reduce costs as the main requirement, that they using the traditional method implement to this IoT monitoring system. Therefore on this system only one temperature and humidity sensor, a CO2 sensor and a microcontroller, and a server host are used Provided to the user to monitor and record the environment control mushroom house. However, they always neglected the most important system's fault tolerance and the security of data storage. If only one device in this system fails, the system will be paralyzed. This will result in a significant loss of the mushroom production line and a serious error in artificial intelligence and big data analysis. This study explores how to use a combination of temperature and humidity sensors and CO2 sensors with multiple microcontrollers, networking-enabled microcontrollers and embedded systems (Raspberry Pi), x86-based servers, NAS (Private cloud) and free the cloud computing of a database (ThingSpeak) and a number of other devices that can be individually operated and provided for users to control the temperature, humidity and CO2 monitoring, recording and inquiry and other services within the environment. In this way, we can reduce the risk of paralysis caused by a single device failure and enhance the system's fault tolerance and data retention. Finally, we can improve the efficiency of mushroom house management and reduce the cost of mushroom production cost.