scholarly journals Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5045
Author(s):  
Adel Mellit ◽  
Mohamed Benghanem ◽  
Omar Herrak ◽  
Abdelaziz Messalaoui

To support farmers and improve the quality of crops production, designing of smart greenhouses is becoming indispensable. In this paper, a novel prototype for remote monitoring of a greenhouse is designed. The prototype allows creating an adequate artificial environment inside the greenhouse (e.g., water irrigation, ventilation, light intensity, and CO2 concentration). Thanks to the Internet of things technique, the parameters controlled (air temperature, relative humidity, capacitive soil moisture, light intensity, and CO2 concentration) were measured and uploaded to a designed webpage using appropriate sensors with a low-cost Wi-Fi module (NodeMCU V3). An Android mobile application was also developed using an A6 GSM module for notifying farmers (e.g., sending a warning message in case of any anomaly) regarding the state of the plants. A low-cost camera was used to collect and send images of the plants via the webpage for possible diseases identification and classification. In this context, a deep learning convolutional neural network was developed and implemented into a Raspberry Pi 4. To supply the prototype, a small-scale photovoltaic system was built. The experimental results showed the feasibility and demonstrated the ability of the prototype to monitor and control the greenhouse remotely, as well as to identify the state of the plants. The designed smart prototype can offer real-time remote measuring and sensing services to farmers.

Author(s):  
H. B. Chi ◽  
M. F. N. Tajuddin ◽  
N. H. Ghazali ◽  
A. Azmi ◽  
M. U. Maaz

<span>This paper presents a low-cost PV current-voltage or <em>I-V</em> curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the <em>I-V</em> tracer, which is able to cope with rapidly changing irradiation conditions. The <em>I-V</em> tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the <em>I-V</em> curve tracer is evaluated and verified using simulation and experimental tests.</span>


CAHAYAtech ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Adetya Windiarto Makhmud ◽  
Tutus Praningki ◽  
Ira Luvi Indah

Drying clothes is one of the daily activities of people who use solar energy. With these conditions, people are very dependent on weather conditions that are sometimes erratic. One of the right ways is by utilizing technology, namely using an automatic clothesline using a Wemos D1Mini microcontroller, equipped with an LDR sensor that will read light intensity and the DHT11 sensor will read humidity and temperature around the environment. This tool is also based on the Internet of Things which can be accessed from anywhere as long as it is connected to the internet. Keyword: Microcontroller, LDR sensor, DHT11 sensor, Internet of Things.


Author(s):  
Bin Lin

The Internet of Things is another information technology revolution and industrial wave after computer, Internet and mobile communication. It is becoming a key foundation and an important engine for the green, intelligent and sustainable development of economic society. The new networked intelligent production mode characterized by the integration innovation of the Internet of Things is shaping the core competitiveness of the future manufacturing industry. The application of sensor network data positioning and monitoring technology based on the Internet of Things in industry, power and other industries is a hot field for the development of the Internet of Things. Sensor network processing and industrial applications are becoming increasingly complex, and new features have appeared in the sensor network scale and infrastructure in these fields. Therefore, the Internet of Things perception data processing has become a research hotspot in the deep integration process between industry and the Internet of Things. This paper deeply analyzes and summarizes the characteristics of sensor network perception data under the new trend of the Internet of Things as well as the research on location monitoring technology, and makes in-depth exploration from the release and location monitoring of sensor network perception data of the Internet of Things. Sensor network technology integrated sensor technology, micro-electromechanical system technology, wireless communication technology, embedded computing technology and distributed information processing technology in one, with easy layout, easy control, low power consumption, flexible communication, low cost and other characteristics. Therefore, based on the release and location monitoring technologies of sensor network data based on the Internet of Things in different applications, this paper studies the corresponding networking technologies, energy management, data management and fusion methods. Standardization system in wireless sensor network low cost, and convenient data management needs, design the iot oriented middleware, and develops the software and hardware system, the application demonstration, the results show that the design of wireless sensor network based on iot data monitoring and positioning technology is better meet the application requirements, fine convenient integration of software and hardware, and standardized requirements and suitable for promotion.


Author(s):  
Varsha Sharma ◽  
Vivek Sharma ◽  
Nishchol Mishra

Recently, Internet of Things (IoT) has aroused great interest among the educational, scientific research, and industrial communities. Researchers affirm that IoT environments will make people's daily life easier and will lead to superior services, great savings as well as a nifty use of resources. Consequently, IoT merchandise and services will grow exponentially in the upcoming years. The basic idea of IoT is to connect physical objects to the Internet and use that connection to provide some kind of useful remote monitoring or control of those objects. The chapter presents the overall IoT vision, the technologies for achieving it, IoT challenges and its applications. This chapter also attempts to describe and analyze threat types for privacy, security and trust in IoT as well as shows how big data is an important factor in IoT. This chapter will expose the readers and researchers who are interested in exploring and implementing the IoT and related technologies to the progress towards the bright future of the Internet of Things


Author(s):  
Itamir Barroca ◽  
Gibeon Aquino ◽  
Maria Alzete Lima

The high cost of healthcare services, the aging population and the increase of chronic disease is becoming a global concern. Several studies have indicated the need to minimize the process of hospitalization and the high cost of patient care. A promising trend in healthcare is to move the routines of medical checks from a hospital to the patient's home. Moreover, recent advances in microelectronics have boosted the advent of a revolutionary model involving systems and communication technology. This new paradigm, the Internet of Things (IoT), has a broad applicability in several areas, including healthcare. Based on this context, this chapter aims to describe a computer platform based on IoT for the remote monitoring of patients in critical condition. Furthermore, it is planned to approach the current advances and challenges of conceiving and developing a set of technology-centric, targeting issues relevant to underdeveloped countries, particularly in regards to Brazil's health infrastructure.


2020 ◽  
Vol 14 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Sudip Misra ◽  
Sanku Kumar Roy ◽  
Arijit Roy ◽  
Mohammad S. Obaidat ◽  
Avantika Jha

2018 ◽  
Vol 7 (3) ◽  
pp. 1491
Author(s):  
Dr Chalasani Srinivas ◽  
Dr Srinivas Malladi

The Internet of Things (IoT) is growing in the web of an age-old IPv6 address for Internet connections and messages that arise between these and other devices and systems that work with the Internet. It is equipped with the unique ID and data transfer capability through the network. Among other things, tracking and tracking online travel is a major issue. Although there are many tracking techniques for moving objects, many are at risk. So there is a need for tracking the safety of an object Safety protocols should provide visibility and tracking of street objects in support of the Internet (IoT). This protocol is based on the RFID Identity System for IoT Objects. Existing ones do not provide authentication of sites that lead to fakes. Great use of energy. The proposed protocol improves road safety tracking using the base protocol light and SPDL. The requested protocol is intended to ensure accuracy, accuracy, confidentiality and encryption. To ensure safe monitoring of objects, the requested protocols use cryptic primitives that use HMAC concepts that are used to authenticate an object. This protocol introduction relies on code authentication code (CMC), which is used to reduce power consumption at low cost. The testing of a test network evaluates protocol implementation and is found to be safer and requires less calculation than existing protocols.  


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


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