scholarly journals Prototype of a Low-Cost Electronic Platform for Real Time Greenhouse Environment Monitoring: An Agriculture 4.0 Perspective

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 726 ◽  
Author(s):  
Tonino Pisanu ◽  
Salvatore Garau ◽  
Pierluigi Ortu ◽  
Luca Schirru ◽  
Claudia Macciò

The Internet of Things has a high impact on upgrade and transformation of the traditional greenhouse agricultural techniques. It is necessary to control the environmental factors for obtaining the optimum growth conditions for the crop and extend the production season to get the optimum yield. These aspects are fundamental for Agriculture 4.0, that uses technology not simply for the sake of innovation but to improve and address the real needs of consumers. In this paper, a prototype of a low-cost electronic platform for real time greenhouse environment monitoring has been designed, developed and built. The prototype has been developed with the purpose of firmware and software prototyping, in order to make the most of device performances. The electronic board is composed by a Main Board, a Green House Core, a Wi-Fi Module, a RS485 Module, an Analog-to-Digital Converter Module and a USB Module. The system permits to collect data by external sensors, elaborate and send them to external devices as laptop, smartphone and internet gateway, using both wired and wireless connection. These data concern to main greenhouse environmental parameters, such as air temperature, humidity, solar radiation, air velocity and CO2 concentration. A Web application has been implemented to allow users a consultation of greenhouse environmental state in a simple and fast way.

2012 ◽  
Vol 263-266 ◽  
pp. 2895-2898
Author(s):  
Fu Chen ◽  
Quan Yin Zhu

In order to obtain the remote environmental parameters, The SHT10 digital humidity and temperature sensor, and the TSL2561 light-to-digital converter were used to get the environmental parameters such as the temperature, the humidity and the luminance. The two sensors were controlled by the microprocessor MCS-51. The Internet of Things (IOT) technology was used to transform the parameters data to the remote server through the GPRS network, and the SIM900 chip was opted to accomplish GPRS function. The Ajax and the mobile platform were combined to make sure that the environment data on the server can be easily accessed. By using Ajax in the web application, the time to reach the information reduced a lot, and there were no more geographical restrictions because of the Mobile Platform application.


2018 ◽  
Vol 210 ◽  
pp. 03008
Author(s):  
Aparajita Das ◽  
Manash Pratim Sarma ◽  
Kandarpa Kumar Sarma ◽  
Nikos Mastorakis

This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4009
Author(s):  
Mohataz Hossain ◽  
Zhenzhou Weng ◽  
Rosa Schiano-Phan ◽  
David Scott ◽  
Benson Lau

This paper presents the application of Internet of Things (IoT) Technology and Building Energy Management System (BEMS) within the Marylebone Campus of the University of Westminster, located in central London, to improve the environmental performance of the existing building as well as enhance the learning experience on energy and sustainability. Sixty IoT sensors connected to minicomputers were planned to be deployed within three floors of the building to continuously measure the real-time environmental parameters, such as dry-bulb temperature, relative humidity, illuminance level, carbon dioxide, and sound levels. Experimental workshops were also arranged with undergraduate and post-graduate students at their classrooms using IoT sensors, portable Bluetooth sensors and online questionnaires to increase awareness of the effect of environmental and behavioural changes on energy saving through real-time visualisation. Users’ subjective feedback on their workplace was also collected through Post Occupancy Evaluation (POE) questionnaire surveys. The results show the effectiveness of IoT systems and BEMS in supplying the building users and management with high-resolution, low-cost data acquisition systems highlighting the existing challenges and future scopes. The study also documents the process and the improvement in students’ awareness of environmental and energy performance of their building through IoT data visualizations and POE.


2020 ◽  
Author(s):  
Daniel Zollitsch ◽  
Jia Chen ◽  
Florian Dietrich ◽  
Benno Voggenreiter ◽  
Luca Setili ◽  
...  

<p>As the number of official monitoring stations for measuring urban air pollutants such as nitrogen oxides (NOx), particulate matter (PM) or ozone (O<sub>3</sub>) in most cities is quite small, it is difficult to determine the real human exposure to those pollutants. Therefore, several groups have established spatially higher resolved monitoring networks using low-cost sensors to create a finer concentration map [1-3].</p><p>We are currently establishing a low-cost, but high-accuracy network in Munich to measure the concentrations of NOx, PM, O<sub>3</sub>, CO and additional environmental parameters. For that, we developed a compact stand-alone sensor systems that requires low power, automatically measures the respective parameters every minute and sends the data to our server. There the raw data is transferred into concentration values by applying the respective sensitivity function for each sensor. These functions are determined by calibration measurements prior to the distribution of the sensors.</p><p>In contrast to the other existing networks, we will apply a recurring calibration method using a mobile high precision calibration unit (reference sensor) and machine learning algorithms. The results will be used to update the sensitivity function of each single sensor twice a week.  With the help of this approach, we will be able to create a calibrated real-time concentration map of air pollutants in Munich.</p><p>[1] Bigi et al.: Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application, Atmos. Meas. Tech., 11, 3717–3735, 2018</p><p>[2] Popoola et al., “Use of networks of low cost air quality sensors to quantify air quality in urban settings,” Atmos. Environ., 194, 58–70, 2018</p><p>[3] Schneider et al.: Mapping urban air quality in near real-time using observations from low-cost sensors and model information, Environ. Int., 106, 234–247, 2017</p>


2013 ◽  
Vol 850-851 ◽  
pp. 567-571 ◽  
Author(s):  
He Gong ◽  
Zi Yu Wu

In order to improve greenhouse pepper production and efficiency, improve economic efficiency of enterprises, using the Internet of things to JN5148 core, this thesis describes a pepper cultivation environment monitoring system. The system can collect a variety of environmental parameters in the process of pepper cultivation, real-time and remote online monitoring actuators in greenhouse, and it isnt restricted by areas. The system is flexible, easy to use, conforms to the agricultural development trend characterized by intelligence, information and networking. And it promotes pepper production to large-scale and intensive production.


10.29007/q4cf ◽  
2018 ◽  
Author(s):  
Ronak Vithlani ◽  
Siddharth Fultariya ◽  
Mahesh Jivani ◽  
Haresh Pandya

In this paper, we have described an operative prototype for Internet of Things (IoT) used for consistent monitoring various environmental sensors by means of low cost open source embedded system. The explanation about the unified network construction and the interconnecting devices for the consistent measurement of environmental parameters by various sensors and broadcast of data through internet is being presented. The framework of the monitoring system is based on a combination of embedded sensing units, information structure for data collection, and intellectual and context responsiveness. The projected system does not involve a devoted server computer with respect to analogous systems and offers a light weight communication protocol to monitor environment data using sensors. Outcomes are inspiring as the consistency of sensing information broadcast through the projected unified network construction is very much reliable. The prototype was experienced to create real-time graphical information rather than a test bed set-up.


Author(s):  
Chang-Gyu Cgseong ◽  
Jung-Yee Kim ◽  
Doo-Jin Park

<p>Recently, the Internet of things(IoT) has received great attention, and the demand for IOT applications in various fields is increasing. But drawbacks of IoT, such as having to use dedicated equipment and having to pay for a flat fee monthly, do not satisfy the consumers’ demands. These shortcomings of IoT is causing the appearance of users who try to design the environment of IoT that responds their demands and naturally, attempts to have monitoring system through open-source hardware like Arduino. Open source hardware has attracted a great deal of attention for the diffusion of the Internet of things as a key element of the Internet construction. The emergence of open source hardware, which has the advantage of low cost and easy and fast development, has made it possible to embody the idea of object Internet application services. In this paper, we design and implement a system that controls the objects in real time using open source hardware and MQTT protocol.</p>


2021 ◽  
pp. 109-120
Author(s):  
Cai Huiying ◽  
Li Fangzhen ◽  
Lv Peng ◽  
Ran Lingqiang ◽  
Zou Lida

In view of the nonlinearity and large time delay characteristics of the aquaculture, this paper proposes an environment monitoring system based on low long range (LoRa) communication technology. The system integrates sensor nodes, dissolved oxygen regulation node, LoRa communication network and personal computer (PC) platform to realize real-time monitoring, storage and data sharing. The environmental parameters were processed by programmable logic controller (PLC) intelligent controller, in which, the dissolved oxygen was adjusted with the variable universe fuzzy PID algorithm. The system was tested in a fish pond with an area of 110*120 square meters. The results show that the system can obtain temperature, pH and dissolved oxygen in real time and it has the advantages of high measurement accuracy, stable and reliable data transmission, and can satisfy the needs of aquaculture intelligent management.


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