A Monitoring and Control System of Agricultural Environmental Data Based on the Internet of Things

2016 ◽  
Vol 13 (7) ◽  
pp. 4694-4698 ◽  
Author(s):  
Chengpei Tang ◽  
Nian Yang
2021 ◽  
Vol 6 (1) ◽  
pp. 54-62
Author(s):  
Tetiana Sahaidak ◽  
◽  
Nataliia Huzynets

Unsuitable climatic conditions, various natural disasters and instability and unpredictability of the weather significantly complicate cultivation, and sometimes make it even impossible. To ensure the best conditions for cultivation and the highest yields, farmers began to use greenhouses. However, in our hectic lives, people are constantly busy with something and there is no enough time. Long trips, business trips, vacations are also possible. It is becoming increasingly difficult to provide the necessary conditions for plants to grow on their own. That is why the Internet of Things has been so successfully integrated with agriculture that it has led to the emergence of automated or intelligent greenhouses. The article attempts to analyze the types of greenhouse monitoring and control system, their technical characteristics, principles of operation and basic requirements for these systems. According to the results of the study, the best smart greenhouses have been selected. The main functions of automated greenhouses have been described. Selection criteria have been determined and a comparative analysis of the most popular products available on the market.


Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4724
Author(s):  
Enrico Buzzoni ◽  
Fabio Forlani ◽  
Carlo Giannelli ◽  
Matteo Mazzotti ◽  
Stefano Parisotto ◽  
...  

This paper discusses the design and prototype implementation of a software solution facilitating the interaction of third-party developers with a legacy monitoring and control system in the airfield environment. By following the Internet of Things (IoT) approach and adopting open standards and paradigms such as REpresentational State Transfer (REST) and Advanced Message Queuing Protocol (AMQP) for message dispatching, the work aims at paving the way towards a more open world in the airfield industrial sector. The paper also presents performance results achieved by extending legacy components to support IoT standards. Quantitative results not only demonstrate the feasibility of the proposed solution, but also its suitability in terms of prompt message dispatching and increased fault tolerance.


Author(s):  
Hazilah Mad Kaidi ◽  
◽  
Norulhusna Ahmad ◽  
Rudzidatul Akmam Dziyauddin ◽  
Norliza Mohamed ◽  
...  

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 27
Author(s):  
Franco Cicirelli ◽  
Antonio Guerrieri ◽  
Andrea Vinci

The Internet of Things (IoT) and related technologies are promising in terms of realizing pervasive and smart applications, which, in turn, have the potential to improve the quality of life of people living in a connected world [...]


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3430 ◽  
Author(s):  
Roberto Casado-Vara ◽  
Zita Vale ◽  
Javier Prieto ◽  
Juan Corchado

The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.


2012 ◽  
Vol 263-266 ◽  
pp. 2824-2828
Author(s):  
He Gong ◽  
He Long Yu ◽  
Gui Fen Chen ◽  
Zhu Wen

According to the construction situation of intelligent greenhouse in Agriculture Internet of Things in China, designed a measurement and control system of facilities vegetables based on Internet of Things. This design used JN5148 module as the core and applied JenNet stack to set up a wireless network. The environment factors, including temperature and humidity, light intensity, CO2 concentration and so on can be monitored in real-time, at the same time, shutter and water pump were also remote controlled through the GPRS gateway. The test result shows that this system operates stable, measures and controls precisionly, cost low electric quantity and better meet greenhouse environment monitoring and control system applications demand. Introduction


2016 ◽  
Vol 49 (30) ◽  
pp. 108-113 ◽  
Author(s):  
Ademir F. da Silva ◽  
Ricardo L. Ohta ◽  
Marcelo N. dos Santos ◽  
Alecio P.D. Binotto

Sign in / Sign up

Export Citation Format

Share Document