Muhammad Azizi Mohd Ariffin, M. Ramli, M. Amin, Marina Ismail, Zarina Zainol, N. Ahmad, N. Jamil
{"title":"Automatic Climate Control for Mushroom Cultivation using IoT Approach","authors":"Muhammad Azizi Mohd Ariffin, M. Ramli, M. Amin, Marina Ismail, Zarina Zainol, N. Ahmad, N. Jamil","doi":"10.1109/ICSET51301.2020.9265383","DOIUrl":null,"url":null,"abstract":"In Malaysia, most farmers only depend on traditional agricultural practices. To improve the efficiency as well as the productivity of their farms, modern agricultural technology was proven to be better than traditional practices. Internet of Things (IoT) is usually related in modern agriculture which provides the farmer with a real-time monitoring condition of their farm from anywhere and anytime. Nowadays, oyster mushroom is one of the favorite plants to be cultivated among Malaysian farmers. However, it is still overshadowed by the traditional cultivation approach, which is costly, low productivity and more maintenance. Therefore, this work aims to develop an automatic climate control system at a minimized cost, which can control the condition of the farm as well as optimize the resources. Our proposed IoT-based design was tested in real environment at NASOM Bandar Puteri Centre. Oyster mushroom requires an optimum temperature ranging from 20 to 30°C and humidity from 70 to 80 percent. Two sensors were placed at the center and corner of the mushroom house to measure the temperature and humidity which were transmitted to the remote monitoring station via a micro-controller unit for further action. The result conducted for six days showed that an efficient automatic monitoring system, which can control the farm's house as well as minimized the resources and human efforts.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSET51301.2020.9265383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
In Malaysia, most farmers only depend on traditional agricultural practices. To improve the efficiency as well as the productivity of their farms, modern agricultural technology was proven to be better than traditional practices. Internet of Things (IoT) is usually related in modern agriculture which provides the farmer with a real-time monitoring condition of their farm from anywhere and anytime. Nowadays, oyster mushroom is one of the favorite plants to be cultivated among Malaysian farmers. However, it is still overshadowed by the traditional cultivation approach, which is costly, low productivity and more maintenance. Therefore, this work aims to develop an automatic climate control system at a minimized cost, which can control the condition of the farm as well as optimize the resources. Our proposed IoT-based design was tested in real environment at NASOM Bandar Puteri Centre. Oyster mushroom requires an optimum temperature ranging from 20 to 30°C and humidity from 70 to 80 percent. Two sensors were placed at the center and corner of the mushroom house to measure the temperature and humidity which were transmitted to the remote monitoring station via a micro-controller unit for further action. The result conducted for six days showed that an efficient automatic monitoring system, which can control the farm's house as well as minimized the resources and human efforts.
在马来西亚,大多数农民只依靠传统的农业方法。为了提高农场的效率和生产力,现代农业技术被证明比传统做法更好。物联网(IoT)通常与现代农业相关,它为农民提供了随时随地对农场状况的实时监控。如今,平菇是马来西亚农民最喜欢种植的植物之一。然而,传统的种植方法成本高、生产率低,而且需要更多的维护,这使得它仍然相形见绌。因此,本工作旨在开发一种成本最低的自动气候控制系统,该系统可以控制农场的条件并优化资源。我们提出的基于物联网的设计在NASOM Bandar Puteri中心的真实环境中进行了测试。平菇所需的最佳温度为20至30°C,湿度为70%至80%。在蘑菇房的中心和角落放置了两个传感器来测量温度和湿度,这些温度和湿度通过微控制器单元传输到远程监测站,以便采取进一步行动。为期六天的结果表明,一个有效的自动监控系统,可以控制农场的房子,并最大限度地减少资源和人力。