scholarly journals Experimental and Mathematical Models for Real-Time Monitoring and Auto Watering Using IoT Architecture

Computers ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Jabar H. Yousif ◽  
Khaled Abdalgader

Manufacturing industries based on Internet of Things (IoT) technologies play an important role in the economic development of intelligent agriculture and watering. Water availability has become a global problem that afflicts many countries, especially in remote and desert areas. An efficient irrigation system is needed for optimizing the amount of water consumption, agriculture monitoring, and reducing energy costs. This paper proposes a real-time monitoring and auto-watering system based on predicting mathematical models that efficiently control the water rate needed. It gives the plant the optimal amount of required water level, which helps to save water. It also ensures interoperability among heterogeneous sensing data streams to support large-scale agricultural analytics. The mathematical model is embedded in the Arduino Integrated Development Environment (IDE) for sensing the soil moisture level and checking whether it is less than the pre-defined threshold value, then plant watering is performed automatically. The proposed system enhances the watering system’s efficiency by reducing the water consumption by more than 70% and increasing production due to irrigation optimization. It also reduces the water and energy consumption amount and decreases the maintenance costs.

The Analyst ◽  
2021 ◽  
Author(s):  
Karel Boissinot ◽  
Régis Peytavi ◽  
Sebastien Chapdelaine ◽  
Matthias Geissler ◽  
Maurice Boissinot ◽  
...  

DNA hybridization phenomena occurring on solid supports are not understood as clearly as aqueous phase hybridizations and mathematical models cannot predict some empirically obtained results. Ongoing research has identified important...


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e038282
Author(s):  
Hafizah Jusril ◽  
Iwan Ariawan ◽  
Rita Damayanti ◽  
Lutfan Lazuardi ◽  
Miriam Musa ◽  
...  

ObjectiveTo assess the contribution of a digital health real-time monitoring platform towards the achievement of coverage targets during a national immunisation campaign in Indonesia.InterventionsA digital health platform was introduced to facilitate real-time reporting and data visualisation. Health workers submitted reports of children immunised each day by geolocation using mobile phones. Automated reports were generated for programme managers at all levels to enable early responses to coverage gaps.MethodsRisk profiles were generated for each district to assess precampaign immunisation programme performance. Digital health platform use and progress towards targets were monitored continuously throughout the campaign. Study outcomes were total coverage and time to achieve full (100%) coverage. Kaplan-Meier, Cox and linear regression analyses were used to estimate the associations and outcomes after adjusting for district risk profiles. A complementary qualitative assessment explored user experiences and acceptance through interviews with vaccinators and programme managers in provinces and districts selected through multistage random sampling.ResultsBetween August and December 2018, 6462 health facilities registered to use the digital health platform across 28 provinces and 395 districts. After adjusting for precampaign district risk profile and intracampaign delays due to vaccine hesitancy, districts with greater platform utilisation demonstrated higher coverage overall (R2=0.28, p<0.0001) and a shorter interval to achieving full coverage (>75% reporting compliance; Risk Ratio 15.4, 95% CI 5.8 to 40.6). Stronger effects were observed among districts experiencing implementation delays due to vaccine hesitancy. Results from 106 key informant interviews conducted in 6 provinces and 18 districts suggest high degrees of acceptability, ease of use and satisfaction.ConclusionA digital health platform introduced for real-time monitoring of a national immunisation campaign in Indonesia was feasible, well liked and associated with improved problem solving and programme performance, particularly among districts affected by vaccine hesitancy.Trial registration numberISRCTN10850448.


2013 ◽  
Vol 28 (4) ◽  
pp. 682-699 ◽  
Author(s):  
Hannes Römer ◽  
Jens Kersten ◽  
Ralph Kiefl ◽  
Stefan Plattner ◽  
Alexander Mager ◽  
...  

Author(s):  
Arvind Kumar ◽  
Abhijeet Kumar ◽  
Abhishek Kumar Singh ◽  
Anubhav Kumar Choudhary

Agriculture is the most important sector of the Indian economy and employs 50% of the country’s forces. But, in recent times the economic contribution of agriculture to India’s GDP is steadily declining. A major problem is the absence of an energy-efficient and reliable system for real-time monitoring of soil’s condition. The paper proposes a smart alert and irrigation system with real-time monitoring of soil’s condition. The proposed system detects the soil’s moisture content and temperature. Using NodeMCU development kit, the data are sent to the cloud-based IoT platform for round the clock real-time monitoring of the soil’s condition. A Message Queue Telemetry Transport communication protocol is used for data transmission. The cloud-based IoT platform analyses the collected data and sends alert messages and controls the irrigation system according to the pre-set threshold conditions. The proposed system is secure, economically feasible, reliable and energy-efficient which brings automation and IoT technology to the agriculture sector.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 52455-52466 ◽  
Author(s):  
Mikel Canizo ◽  
Angel Conde ◽  
Santiago Charramendieta ◽  
Raul Minon ◽  
Raul G. Cid-Fuentes ◽  
...  

2013 ◽  
Vol 361-363 ◽  
pp. 1519-1522
Author(s):  
Yu Jie Qi ◽  
Okumura Ummin ◽  
Tian Hang Zhang ◽  
Nian Ming Hong

A set of roller real-time detecting system is developed based on the platform of LabVIEW. In this system, GPS plays an important role of positioning the rollers track, time, speed as well as compaction times. With the friendly development environment of LabVIEW, GPS signals are collected, extracted, analyzed and processed to realizing real-time detecting. And the reliability and practicability of the detecting system program is confirmed by trail. With this great progress, a set of rollers real-time monitoring system can be easily formed, which is of great significance for scientists to further replace the traditional detecting test.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1197
Author(s):  
Silvia Taccola ◽  
Aliria Poliziani ◽  
Daniele Santonocito ◽  
Alessio Mondini ◽  
Christian Denk ◽  
...  

The development of dry, ultra-conformable and unperceivable temporary tattoo electrodes (TTEs), based on the ink-jet printing of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on top of commercially available temporary tattoo paper, has gained increasing attention as a new and promising technology for electrophysiological recordings on skin. In this work, we present a TTEs epidermal sensor for real time monitoring of respiration through transthoracic impedance measurements, exploiting a new design, based on the application of soft screen printed Ag ink and magnetic interlink, that guarantees a repositionable, long-term stable and robust interconnection of TTEs with external “docking” devices. The efficiency of the TTE and the proposed interconnection strategy under stretching (up to 10%) and over time (up to 96 h) has been verified on a dedicated experimental setup and on humans, fulfilling the proposed specific application of transthoracic impedance measurements. The proposed approach makes this technology suitable for large-scale production and suitable not only for the specific use case presented, but also for real time monitoring of different bio-electric signals, as demonstrated through specific proof of concept demonstrators.


2006 ◽  
Vol 122 (2) ◽  
pp. 209-215 ◽  
Author(s):  
J.M. Sandnes ◽  
T. Ringstad ◽  
D. Wenner ◽  
P.H. Heyerdahl ◽  
T. Källqvist ◽  
...  

Author(s):  
Arnon Jadir Rodrigues Alves ◽  
Leandro Tiago Manera ◽  
Marcel Veloso Campos

The objective of this work is to explore the implementation of a low-cost real-time monitoring and control of water consumption together with a user feedback interface. Water usage information will be available in a cloud storage and can be accessed through a mobile application. The collected data allows access and supervision of both client- and water concessionaire. Project feasibility is analyzed in terms of hardware and software, as well as each element required for the design. The simulations were carried out with the purpose of verifying system operation, considering the following metrics: transmission rate, signal strength and transmission quality. After the simulations, the hardware and software were integrated, and the final result was presented through a mobile application. This work presents and applies a design and development methodology of Wireless Sensor Network (WSN) using Internet of Things (IoT) technologies and Smart City in water-distribution systems.


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