Smart environment monitoring system by using sensors ultrasonic detection of farm pests

2017 ◽  
Author(s):  
Arnaud S. R. M. Ahouandjinou ◽  
Probus M. A. F. Kiki ◽  
Kokou Assogba
Keyword(s):  
Monitoring System ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Ultrasonic Detection

scholarly journals Smart Environment Monitoring System using Unmanned Aerial Vehicle in Bangladesh

2018 ◽  
pp. 165995
Author(s):  
Md. Al-Farabi ◽  
Muntasir Chowdhury ◽  
Md. Readuzzaman ◽  
Md. Hossain ◽  
Saifur Sabuj ◽  
...  
Keyword(s):  
Monitoring System ◽  
Unmanned Aerial Vehicle ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Aerial Vehicle

Data Storage in the Fog Computing for Smart Environment Monitoring System (SEMS)

2019 ◽  
Vol 16 (8) ◽  
pp. 3196-3200
Author(s):  
M. Jalasri ◽  
S. Nalini ◽  
N. Magesh Kumar ◽  
J. Elumalai
Keyword(s):  
Cloud Computing ◽  
Monitoring System ◽  
Data Storage ◽  
Smart Cities ◽  
Fog Computing ◽  
Mobile App ◽  
Smart Environment ◽  
Air Quality Management ◽  
Environment Monitoring ◽  
Basic Parameters

Environment monitoring system for smart cities uses diverse kind of sensors which is used to accumulate the information for managing the resources efficiently. Environment monitoring system provides services such as automation of home, weather monitoring, air quality management and prediction of pollution. This paper presents the customized design on environment monitoring the basic parameters are temperature, humidity and CO2. These sensed data need to be stored and processed. In previous system, sensed data are stored using cloud computing. In proposed system, Fog computing is used to store the sensed data from smart environment monitoring system (SEMS) and transfer the data to the mobile app from the fog device which is more efficient than cloud computing.

scholarly journals IoT-Based Smart Environment Monitoring System for Air Pollutant Detection in Kuantan, Pahang, Malaysia

2020 ◽  
Vol 769 ◽  
pp. 012014
Author(s):  
Nor Saradatul Akmar Zulkifli ◽  
Mohammad Ridwan Satrial ◽  
Mohd Zamri Osman ◽  
Nor Syahidatul Nadiah Ismail ◽  
Muhammad Rusydi Muhammad Razif
Keyword(s):  
Monitoring System ◽  
Air Pollutant ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Pollutant Detection

scholarly journals Smart Environment Monitoring System by Employing Wireless Sensor Networks on Vehicles for Pollution Free Smart Cities

2015 ◽  
Vol 107 ◽  
pp. 480-484 ◽  
Author(s):  
Muhammad Saqib Jamil ◽  
Muhammad Atif Jamil ◽  
Anam Mazhar ◽  
Ahsan Ikram ◽  
Abdullah Ahmed ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Smart Cities ◽  
Wireless Sensor ◽  
Smart Environment ◽  
Environment Monitoring

scholarly journals Design and Implementation of IoT-Big Data Analytic for Smart Environment Monitoring System

2018 ◽  
Author(s):  
Riyadh Arridha
Keyword(s):  
Big Data ◽  
Real Time ◽  
Monitoring System ◽  
Water Monitoring ◽  
Estimation Accuracy ◽  
Smart Environment ◽  
Environment Monitoring ◽  
Real Time System ◽  
Analytical System ◽  
Data Analytic

Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in maritime and archipelagic countries, such as Indonesia that is relying on the wealth of water resources. To integrate the water monitoring system into the big data technology for real-time analysis, we have engaged in the ongoing project named SEMAR (Smart Environment Monitoring and Analytic in Real-time system), which provides the IoT-Big Data platform for water monitoring. However, SEMAR does not have an analytical system yet. This paper proposes the analytical system for water quality classification using Pollution Index method, which is an extension of SEMAR. Besides, the communication protocol is updated from REST to MQTT. Furthermore, the real-time user interface is implemented for visualisation. The evaluations confirmed that the data analytic function adopting the linear SVM and Decision Tree algorithms achieves more than 90% for the estimation accuracy with 0.019075 for the MSE. The processing time of the SEMAR system only takes an average 0.5 seconds to process the data to be visualized.

Affordable real-time environment monitoring system for greenhouses

2016 ◽  
Author(s):  
Supun Athukorala ◽  
Irunika Weeraratne ◽  
Dumindu Jayathilaka ◽  
Asitha Bandaranayake ◽  
Roshan Ragel
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Environment Monitoring

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

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