Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services

Kitpo, Nuttakarn; Kugai, Yosuke; Inoue, Masahiro; Yokemura, Taketoshi; Satomura, Shinichi

doi:10.1109/icce.2019.8661999

Cited by 32 publications

(11 citation statements)

References 3 publications

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“…This problem has been devised both as a classification as well as a regression problem as in [88], who develop a closed loop water irrigation system using support vector regression and K-Means clustering. The authors in [89,90] propose cloud based greenhouse monitoring systems using images and a host of physical parameters from plants such as temperature, humidity and light using several machine and deep learning methods. Plant disease detection is also an important task within smart agriculture and has been worked on by the authors in [91][92][93][94] who present schemes for disease detection for various crops including tomatoes and potatoes.…”

Section: Smart Agriculturementioning

confidence: 99%

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

et al. 2021

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Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet of things has spearheaded the development of smart city systems for sustainable living, increased comfort and productivity for citizens. The IoT for Smart Cities has many different domains and draws upon various underlying systems for its operation. In this paper, we provide a holistic coverage of the Internet of Things in Smart Cities. We start by discussing the fundamental components that make up the IoT based Smart City landscape followed by the technologies that enable these domains to exist in terms of architectures utilized, networking technologies used as well as the Artificial Algorithms deployed in IoT based Smart City systems. This is then followed up by a review of the most prevalent practices and applications in various Smart City domains. Lastly, the challenges that deployment of IoT systems for smart cities encounter along with mitigation measures.

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Section: Smart Agriculturementioning

confidence: 99%

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

et al. 2021

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“…In [9] proposed an extended system modules based on [8] by introducing some new features including camera nodes for taking snapshots every 10 min time span and sending it back to the central concentrating gateway station, gateway for providing wireless communication among camera and server peers via Raspberry Pi controller using HTTP protocol, server to transmit daily images from data storage to data analytics using Windows PC-based server integrated with MATLAB simulation software for image processing, computer vision, data analytics, lastly a notification platform using Slack API to send the latest information through webhook integration from MATLAB software. Similarly, the platform is also integrated with Object Detection APIs from various Deep Learning libraries for feature extraction through various optimization techniques automatically from collected images.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

Environmental monitoring and disease detection of plants in smart greenhouse using internet of things

2020

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This research implements the idea of automation using Internet of Things (IoT) in a greenhouse environment. The development is focuses on deployment of agicultural greenhouses into small-scale level transforming it into a smart greenhouse. They are to help in monitoring the greenhouse environment conditions, water irrigation management, image collection using installed cameras as well as predicting diseases in the plants on collected leaf datasets. This research focus on development for the purpose of validating a proposed system design and architecture for a suitable IoT based monitoring for environment conditions, managing water irrigation system and a effective method for detecting leaf diseases on the plants inside a greenhouse environment.

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“…The acquired data are then transferred wirelessly using the ZigBee module to a server and stored in the cloud. Information acquired is also sent to the user's smartphone via the LINE bot service [58].…”

Section: E Internet Of Thing (Iot) In Greenhousementioning

confidence: 99%

Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT)

Ardiansah¹,

Bafdal²,

Suryadi³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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The 21st century became the beginning of the development of information technology, where one of the revolutions was the presence of the Internet of Things. Internet of Things or abbreviated as IoT is a technology that combines electronic devices, sensors, and the internet to manage data and applications. The Internet of Things can be adopted in agriculture for crop management as a media for monitoring and controlling, especially in greenhouses and is called Precision Farming. The application of precision farming will be more effective in a greenhouse because it is easier to engineer similar environmental conditions. IoT development in greenhouses is using Arduino Microcontroller or Raspberry Pi Microcomputer. These devices are used because the price is low and easy to get on the market and can be designed so that technicians who have limited information technology knowledge can run it. To be able to manage greenhouses with IoT requires sensors as five senses that can detect changes that occur in the greenhouse. By using sensors, the hardware can detect what is happening in the greenhouse and make decisions based on the data acquired. Some sensors that are often used in Precision Farming are temperature and humidity sensors, soil moisture sensors, and light sensors. In the Internet of Things, the data that has been acquired by the hardware will then be transmitted wirelessly. The wireless connections used are Bluetooth, ZigBee Protocol, and Wi-Fi, where Bluetooth and Zigbee connections have a short distance between 10-100 meters, while Wi-Fi has a longer distance especially when connected to the Internet. The purpose of this paper is to understand the advantages and challenges of adopting IoT-based Precision Farming for monitoring and automation.

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Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services

Cited by 32 publications

References 3 publications

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

Environmental monitoring and disease detection of plants in smart greenhouse using internet of things

Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT)

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