scholarly journals Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System

2019 ◽  
Vol 8 (3) ◽  
pp. 45 ◽  
Author(s):  
Tran Anh Khoa ◽  
Mai Minh Man ◽  
Tan-Y Nguyen ◽  
VanDung Nguyen ◽  
Nguyen Hoang Nam

Advances in the Internet of Things (IoT) are helping to make water management smarter and optimizing consumption in the smart agriculture industry. This article proposes a new topology of sensor nodes based on the use of inexpensive and highly efficient components, such as water level, soil moisture, temperature, humidity, and rain sensors. Additionally, to guarantee good performance of the system, the used transmission module is based on LoRa LPWAN technology. The design of the main circuit board of the system is optimized by combining two layers and implementing software optimization. The overall sensor network is developed and tested in the research lab, and real farms can be controlled by users manually or automatically using the mobile application. Experimental results are produced by testing sensor and communication link effectiveness, and are subsequently validated in the field through a one-week measurement campaign.

2014 ◽  
Vol 17 (11) ◽  
pp. 1313-1324 ◽  
Author(s):  
Joonyoung Lee ◽  
ShinHo Kim ◽  
SaeBom Lee ◽  
HyeonJin Choi ◽  
JaiJin Jung

Author(s):  
Ghazi Hussein Shakah

<span>At the moment, all observed forms of communication are reduced either to a person-to-person scheme or person-to-device. But the Internet of Things (IoT) offers us a tremendous Internet future, in which will appear the communication type machine-machine (M2M). This makes it possible to integrate all communications into a common infrastructure, allowing not only to manage everything that is around us but also providing information about the state of these things. The purpose of this paper is to create the client part of the client-server system for remote control of home appliances using cloud services through commands entered using handwritten words. For this, we develop algorithms and methods for handwriting recognition using neural networks and implement a mobile application on the Android platform, which allows remote control of devices via cloud services based on commands entered using handwritten words. Anyway, this article will give a good understanding to other researchers who want to start their research on the IoT and will contribute to the effective accumulation of knowledge.</span>


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.


2012 ◽  
Vol 452-453 ◽  
pp. 932-936
Author(s):  
Xiang Dong Hu ◽  
Peng Qin Yu

With the rapid development of ubiquitous network and its applications, the key technologies of the Internet of things are actively researched all over the world. The Internet of things has tremendous attraction for adversaries, and it is easily attacked due to poor resource and non-perfect distribution of sensor nodes, then false data maybe be injected into network. Security is one of the most important demands for applications in the Internet of things, an algorithm of malicious nodes detection is proposed to protect the network from destruction based on weighted confidence filter, namely, the cluster heads take charge of collecting messages from nodes and computing their average of confidence in cluster-based network, then they aggregate data from nodes with higher confidence than average and ignore the others, they update confidence of each node by comparing the aggregation value and the received data, and regard it as the weight of exactness of message from node. A sensor node is judged to be a malicious one if its weight is lower than the set threshold. The simulation results show that the algorithm can detect malicious nodes with high detection ratio, low false alarm ratio and outstanding scalability.


2021 ◽  
Author(s):  
O. Vishali Priya ◽  
R. Sudha

In today’s world, technology is constantly evolving; various instruments and techniques are available in the agricultural field. And within the agrarian division, the IoT preferences are Knowledge processing. With the help of introduced sensors, all information can be gathered. The reduction of risks, the mechanization of industry, the enhancement of production, the inspection of livestock, the monitoring of environment conditions, the roboticization of greenhouses, and crop monitoring Nearly every sector, like smart agriculture, has been modified by Internet-of-Things (IoT)-based technology, which has shifted the industry from factual to quantitative approaches. The ideas help to link real devices that are equipped with sensors, actuators, and computing power, allowing them to collaborate on a task while staying connected to the Internet, dubbed the “Internet of Things” (IoT). According to the World Telecommunication Union’s Worldwide Guidelines Operation, the Internet of Things (IoT) is a set of sensors, computers, software, and other devices that are connected to the Internet. The paper is highly susceptible to the consequences of its smart agriculture breakthrough.


2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Yunyan Chang ◽  
Jian Xu ◽  
Kayhan Zrar Ghafoor

In all the smart applications, evolution of the Internet of Things (IOT) is utilized as a complete matured technology and in the future internet generations, established itself. Blockchain is also the blooming technique like Internet of things in which the distributed ledger which enhances the security contained in the each node of the block-chain. In the block-chain network, any fault transaction is not done by the illegal users. The block-chain is combined with the Internet of Things for the improvement of real time application performance. IOT based smart water management system is designed in this paper for the agriculture which ensures the effectiveness of the agriculture water management. The remote monitoring with the IOT is used for this purpose. By linking with 2D modelling, the control and management of the agriculture water were performed. Finally, a system is implemented for the agriculture water management through the real time data collection. The obtained result shows the data that updates the water monitoring interface with the varying number of hours. The IoT technology and remote monitoring technology is utilized to the existing water management infrastructure. For water resources management and water supply, this is the very efficient technology.


2019 ◽  
Vol 5 (2) ◽  
pp. 120-134
Author(s):  
Hendra Kusumah ◽  
Restu Adi Pradana

The absence of props remains a constraint on the learning process interfacing subjects where students have difficulty understanding the material obtained, besides because of the lack of microcontroller practice experience, students don't understand how to operate the microcontroller and also because of the lack of basic knowledge about the microcontroller. The design of the microcontroller interface trainer is intended as a teaching aid to help understand microcontroller interfacing using the UART, SPI, and I2C protocols and can be used as an Internet of Things teaching aid to help students practice monitoring and controlling input output on microcontrollers using smartphones over the internet. In designing this trainer, the author had made direct observations on learning activities in interfacing subjects and conducted questions and answers with several students. This trainer uses RFID, RTC and LCD modules as interfacing props that are connected to the ESP32 microcontroller, and there are components in the form of LEDs and potentiometers to practice the concept of the Internet of Things. The GPIO header pins and microcontroller interface pins expansion are also available on this trainer which can be connected with more modules and other components. Modules and components in the design of this trainer are connected with the ESP32 microcontroller in one integrated circuit board so as to provide practicality in its use.


Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 502 ◽  
Author(s):  
Sami Salama Hussen Hajjaj ◽  
Mohamed Thariq Hameed Sultan ◽  
Muhammad Hafizuddin Moktar ◽  
Seng Hua Lee

In recent years, floods have increased in frequency and intensity, causing tremendous hardship. In badly affected regions, mostly the rural areas, Weir-type floodgates are the only measure against floods. However, these manually operated gates are numerous and scattered over vast areas. This makes flood mitigation efforts very challenging, which causes severe devastation. Current solutions to automate the floodgates are expensive, black-boxed, and focused on individual gates. In this paper, we present a Centralized Flood Monitoring and Coordination System developed through the Internet of Things (IoT) and other open-source technologies. For this work, we developed a working prototype of an autonomous floodgate that opens/closes according to the level of water. We also developed the required program to allow the gate controller to publish its data through the IoT gateway to the cloud. The data was then captured and viewed on a number of IoT clients, both for individuals and groups of floodgates, in real time. The developed system proved successful as the autonomous gates were monitored remotely through the established IoT framework, with room for future development and improvement. This paper serves as a proof of concept and a preparation for real, on-site implementation of the IoT-floodgates.


Sign in / Sign up

Export Citation Format

Share Document