Cloud IoT Based Greenhouse Monitoring SystemIJERA Editor
This project explains the design and implementation of an electronic system based on GSM (Global System for
Mobile communication), cloud computing and Internet of Things (IoT) for sensing the climatic parameters in
the greenhouse. Based on the characteristics of accurate perception, efficient transmission and intelligent
synthesis of Internet of Things and cloud computing, the system can obtain real-time environmental information
for crop growth and then be transmitted. The system can monitor a variety of environmental parameters in
greenhouse effectively and meet the actual agricultural production requirements. Devices such as temperature
sensor, light sensor, relative humidity sensor and soil moisture sensor are integrated to demonstrate the proposed
system. This research focuses on developing a system that can automatically measure and monitor changes of
temperature, light, Humidity and moisture level in the greenhouse. The quantity and quality of production in
greenhouses can be increased. The procedure used in our system provides the owner with the details online
irrespective of their presence onsite. The main system collects environmental parameters inside greenhouse
tunnel every 30 seconds. The parameters that are collected by a network of sensors are being logged and stored
online using cloud computing and Internet of Things (IoT) together called as CloudIoT.
Energy Efficient Wireless Internet AccessScienzainrete
Il consumo energetico è la questione del futuro. Dipendiamo sempre più da fonti di energia che scarseggiano. D'altro canto il consumo di energia ha influenze drammatiche sui cambiamenti climatici. E' necessario affrontare la questione della riduzione dei consumi, soprattuto nel settore delle comunicazioni. Qui presentati e analizzati i consumi della telefonia mobile e del network.
A vertical wind turbine monitoring system using commercial online digital das...IJECEIAES
The output of a green energy generator is required to be monitor continuously. The monitoring process is important because the performance of the energy gen- erator needs to be known and evaluate. However, monitoring the generator manu- ally and efficiently is troublesome. Moreover, when most of the energy generator located at uneasy to reach or at a very remote place. Added to the cost, human intervention for the monitoring process contributes to the unnecessary bill. All the highlighted limitations can be overcome using an internet cloud base system and application. Most of the existing data logging instruments use a memory card or personal computer in their operation. The stored data is accessible only at a dedicated computer alone. This work presented a complete energy generator interface with a commercial online digital dashboard. The digital dashboard, parameters of the wind turbine, such as the amount of power generates and the magnitude of instantaneous voltage can be monitored, and the recorded data can be accessed quickly, at any time and anyplace.
PERFORMANCE PREDICTION OF AN ADIABATIC SOLAR LIQUID DESICCANT REGENERATOR USI...IAEME Publication
This paper presents an artificial neural network (ANN) algorithm developed and
trained to predict the performance of a solar powered adiabatic packed tower regenerator using LiBr desiccant. A reinforced technique of supervised learning based
on the error correction principle rule coupled with the perceptron convergence
theorem was used. The input parameters to the algorithm were temperature, flow rates
and humidity ratio of both air and desiccant fluid and their respective outputs used to
determine regenerator effectiveness and moisture removal rate. The optimum
performance of the ANN algorithm was shown by structures 6-4-4-1 and 6-14-1 for
moisture removal rate (MRR) and effectiveness respectively. Upon comparison, the
predicted and experimental MRR profiles aligned perfectly during training with a
maximum and mean difference of 0.18 g/s and 0.11 g/s. The regenerator effectiveness
profiles also agreed well with a few negligible disparities with a mean and maximum
difference of 0.6 % and 1 %. With respect to humidity ratio, the algorithm predicted
the experimental MRR values to maximum and mean accuracies of 0.0925 % and -
0.012 %. The maximum and mean accuracies of 4.14 % and 0.53 % were realized in
the prediction of experimental effectiveness by the neural network algorithm. The ANN
model precisely predicted the experimental MRR with respect to inlet desiccant
temperature with an average deviation of -0.5290 % while the highest difference was
3.496 % between predicted and measured temperature. With change in inlet desiccant
temperature, the ANN predicted and experimental values revealed maximum and
mean deviations of 2.61 % and 0.21 %. While the regenerator moisture removal rate
varied proportionally with the air temperature, the predicted MRR values matched
perfectly with the measured data with a mean and highest difference of -0.12 % and
3.2 %. In all the aforementioned cases, the mean and maximum differences between
the ANN model and experimental values were way below the allowable limit of 5 %
hence the algorithm was deemed to be successful and could find use in air
conditioning scenarios.
Wireless future actility ifma_realty 19-05-15Muriel Walter
DEBATNAMIDDAG IFMA ''Intelligente gebouwen'' - 19 mei 2015 - Realty T&T
Of we er nu werken of leven, we willen ons prettig en comfortabel in een ruimte voelen. In bedrijfspanden spelen flexibiliteit en rendabiliteit bovendien een uiterst belangrijke rol. Hoe flexibeler de gebouwentechniek op nieuwe eisen kan reageren en zich aan nieuwe technische ontwikkelingen kan aanpassen, des te eerder zal deze techniek renderen. Bovendien is met het oog op het toenemende milieubewustzijn en de stijgende energiekosten een gebouwmanagement vereist dat intelligente oplossingen voor efficiënt energieverbruik biedt.
IFMA gaat op deze debatnamiddag tijdens de Realty beurs op T&T dieper in op dit thema en de impact van deze evolutie op de activiteiten van de Facility Manager en Real Estate professional.
Cloud IoT Based Greenhouse Monitoring SystemIJERA Editor
This project explains the design and implementation of an electronic system based on GSM (Global System for
Mobile communication), cloud computing and Internet of Things (IoT) for sensing the climatic parameters in
the greenhouse. Based on the characteristics of accurate perception, efficient transmission and intelligent
synthesis of Internet of Things and cloud computing, the system can obtain real-time environmental information
for crop growth and then be transmitted. The system can monitor a variety of environmental parameters in
greenhouse effectively and meet the actual agricultural production requirements. Devices such as temperature
sensor, light sensor, relative humidity sensor and soil moisture sensor are integrated to demonstrate the proposed
system. This research focuses on developing a system that can automatically measure and monitor changes of
temperature, light, Humidity and moisture level in the greenhouse. The quantity and quality of production in
greenhouses can be increased. The procedure used in our system provides the owner with the details online
irrespective of their presence onsite. The main system collects environmental parameters inside greenhouse
tunnel every 30 seconds. The parameters that are collected by a network of sensors are being logged and stored
online using cloud computing and Internet of Things (IoT) together called as CloudIoT.
Energy Efficient Wireless Internet AccessScienzainrete
Il consumo energetico è la questione del futuro. Dipendiamo sempre più da fonti di energia che scarseggiano. D'altro canto il consumo di energia ha influenze drammatiche sui cambiamenti climatici. E' necessario affrontare la questione della riduzione dei consumi, soprattuto nel settore delle comunicazioni. Qui presentati e analizzati i consumi della telefonia mobile e del network.
A vertical wind turbine monitoring system using commercial online digital das...IJECEIAES
The output of a green energy generator is required to be monitor continuously. The monitoring process is important because the performance of the energy gen- erator needs to be known and evaluate. However, monitoring the generator manu- ally and efficiently is troublesome. Moreover, when most of the energy generator located at uneasy to reach or at a very remote place. Added to the cost, human intervention for the monitoring process contributes to the unnecessary bill. All the highlighted limitations can be overcome using an internet cloud base system and application. Most of the existing data logging instruments use a memory card or personal computer in their operation. The stored data is accessible only at a dedicated computer alone. This work presented a complete energy generator interface with a commercial online digital dashboard. The digital dashboard, parameters of the wind turbine, such as the amount of power generates and the magnitude of instantaneous voltage can be monitored, and the recorded data can be accessed quickly, at any time and anyplace.
PERFORMANCE PREDICTION OF AN ADIABATIC SOLAR LIQUID DESICCANT REGENERATOR USI...IAEME Publication
This paper presents an artificial neural network (ANN) algorithm developed and
trained to predict the performance of a solar powered adiabatic packed tower regenerator using LiBr desiccant. A reinforced technique of supervised learning based
on the error correction principle rule coupled with the perceptron convergence
theorem was used. The input parameters to the algorithm were temperature, flow rates
and humidity ratio of both air and desiccant fluid and their respective outputs used to
determine regenerator effectiveness and moisture removal rate. The optimum
performance of the ANN algorithm was shown by structures 6-4-4-1 and 6-14-1 for
moisture removal rate (MRR) and effectiveness respectively. Upon comparison, the
predicted and experimental MRR profiles aligned perfectly during training with a
maximum and mean difference of 0.18 g/s and 0.11 g/s. The regenerator effectiveness
profiles also agreed well with a few negligible disparities with a mean and maximum
difference of 0.6 % and 1 %. With respect to humidity ratio, the algorithm predicted
the experimental MRR values to maximum and mean accuracies of 0.0925 % and -
0.012 %. The maximum and mean accuracies of 4.14 % and 0.53 % were realized in
the prediction of experimental effectiveness by the neural network algorithm. The ANN
model precisely predicted the experimental MRR with respect to inlet desiccant
temperature with an average deviation of -0.5290 % while the highest difference was
3.496 % between predicted and measured temperature. With change in inlet desiccant
temperature, the ANN predicted and experimental values revealed maximum and
mean deviations of 2.61 % and 0.21 %. While the regenerator moisture removal rate
varied proportionally with the air temperature, the predicted MRR values matched
perfectly with the measured data with a mean and highest difference of -0.12 % and
3.2 %. In all the aforementioned cases, the mean and maximum differences between
the ANN model and experimental values were way below the allowable limit of 5 %
hence the algorithm was deemed to be successful and could find use in air
conditioning scenarios.
Wireless future actility ifma_realty 19-05-15Muriel Walter
DEBATNAMIDDAG IFMA ''Intelligente gebouwen'' - 19 mei 2015 - Realty T&T
Of we er nu werken of leven, we willen ons prettig en comfortabel in een ruimte voelen. In bedrijfspanden spelen flexibiliteit en rendabiliteit bovendien een uiterst belangrijke rol. Hoe flexibeler de gebouwentechniek op nieuwe eisen kan reageren en zich aan nieuwe technische ontwikkelingen kan aanpassen, des te eerder zal deze techniek renderen. Bovendien is met het oog op het toenemende milieubewustzijn en de stijgende energiekosten een gebouwmanagement vereist dat intelligente oplossingen voor efficiënt energieverbruik biedt.
IFMA gaat op deze debatnamiddag tijdens de Realty beurs op T&T dieper in op dit thema en de impact van deze evolutie op de activiteiten van de Facility Manager en Real Estate professional.
Large cities are engaged in reducing CO2 emissions with the help of renewable energy. The aim of this study is to assess wind energy production over the 640 km² of the Metropolitan Area of Barcelona (AMB in Catalan) in order to set up small wind turbines to be connected to the smart grid. Buildings
will create wind acceleration, recirculation areas, blocking effects. CFD software Urbawind models the wind inside this complex urban canopy. The work has been commissioned by the Sustainability Plan and the Environmental Services of the Metropolitan Area of Barcelona. WWW.METEODYN.COM
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
WiRoTip: an IoT-based Wireless Sensor Network for Water Pipeline MonitoringIJECEIAES
One of the key components of the Internet of Things (IoT) is the Wireless Sensor Network (WSN). WSN is an effective and efficient technology. It consists of senor nodes; smart devices that allows data collection and pre-processing wirelessly from real world. However, issues related to power consumption and computational performance still persist in classical wireless nodes since power is not always available in application like pipeline monitoring. Moreover, they could not be usually suitable and adequate for this kind of application due to memory shortage and performance constraints. Designing new IoT WSN system that matches the application specific requirements is extremely important. In this paper, we present WiRoTip, a WSN node prototype for water pipeline application. An experimental and a comparative studies have been performed for the different node’s components to achieve a final adequate design.
Intelligent Transportation Systems , The Smart Grid And Your Electrical Infra...Jim Frazer
ITS, the Smart Grid and Your Electrical Infrastructure presentation delivered July 11, 2011 at the International Municipal Signal Association Annual Conference in Seattle, WA
Turning the internet of (my) things into a remote controlled laboratoryKamal Spring
Abstract—In this paper we use a locally developed adaptive
watering system as an example of a remote controlled laboratory
(RCL) developed with standard open hardware and using
libraries taken from the e-lab. This experiment is a particular
case that could benefit from a large number of RCLs proposing
different water budget strategies, allowing the studies of the
best controller algorithm to save water. The water consumption
log can be monitored in real-time and served to any user as a
distributed remote laboratory with support of a Raspberry PI
and a web connection, using an open source Arduino board and
custom made shield. The ultimate goal of RCLs will be achieved
when anyone can
Development of low cost TDR system for soil moisture measurementBhushan Patil
Soil moisture measurement is one of the difficult at same time much important task. Numbers of methods are available for soil moisture measurement. But after reviewing all these methods at last we come to the conclusion that each of these techniques has some of the limitations. So, it is always said that the ideal method for soil moisture measurement is yet to be perfected. After studying all of these techniques comparatively it is seen that Time Domain Reflectometer method has very much scope to develop most superior system for the task. TDR is nothing but a technology which measures frequency dependent properties of electric and dielectric materials with the use of electromagnetic waves. First off all EM wave is generated and gets transmitted in the sensor transmission waveguide put into the soil. Due to impedance mismatching fraction of the transmitted signal reflected back whose travelling time is a function of dielectric constant of the soil which depends on the amount of moisture present in the soil. High cost of TDR system is most serious limitation to use this technique. A care is taken while designing to provide highly accurate, low cost solution for soil moisture measurement. To reduce the cost instead of using complex FPGA, simpler low cost microcontroller is used. GSM module is used which gives the low cost, wireless communication so that the reading of the TDR can be send wirelessly in short time. A simple 16*2 LCD display is used, to provide the TDR reading at the site itself. Gravimetric method is used as reference for the calibration.
iot based low cost smart irrigation system
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
Real Time E-metering and Automation of KCT College Campus using an Android Mo...Eswar Publications
Automation is the technology stemming from web of things. To make a smart world to provide comfort for human life is the main focus of the researchers. In the current automated industry Embedded systems and IOT (Internet of Things) is becoming highly efficient and mandatory to exhibit the potential market. While performing various operations, power consumption and efficiency is an important issue with the comfort level of user. The combination of embedded technology and IOT is represented by using E-controller which is the appropriate one for system’s energy consumption and efficiency experiments with size factor. The main objective of the system is real time information and data monitoring of energy consumption. The proposed system introduces the
implementation of IOT using embedded technology to simplistic the peripheral circuit and to lower the power consumption, thereby providing a high quality solution for a Smart Hostel Management and Information system.
IoT Based Smart Energy Management in Residential ApplicationsMd Rakibul Hasan
I presented our paper (https://doi.org/10.1109/ICASERT.2019.8934523) at the "1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)" conference in 2019.
This paper proposes a smart IoT-based energy management system (EMS), which not only ensures transparency and credibility of energy data but also offers flexibility to the consumers by offering the facility of remotely controlling their home appliances.
This slide is about detecting concealed object from images using Search Identification Network (SINet) just like predator searches its prey and identifies it.
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Large cities are engaged in reducing CO2 emissions with the help of renewable energy. The aim of this study is to assess wind energy production over the 640 km² of the Metropolitan Area of Barcelona (AMB in Catalan) in order to set up small wind turbines to be connected to the smart grid. Buildings
will create wind acceleration, recirculation areas, blocking effects. CFD software Urbawind models the wind inside this complex urban canopy. The work has been commissioned by the Sustainability Plan and the Environmental Services of the Metropolitan Area of Barcelona. WWW.METEODYN.COM
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
WiRoTip: an IoT-based Wireless Sensor Network for Water Pipeline MonitoringIJECEIAES
One of the key components of the Internet of Things (IoT) is the Wireless Sensor Network (WSN). WSN is an effective and efficient technology. It consists of senor nodes; smart devices that allows data collection and pre-processing wirelessly from real world. However, issues related to power consumption and computational performance still persist in classical wireless nodes since power is not always available in application like pipeline monitoring. Moreover, they could not be usually suitable and adequate for this kind of application due to memory shortage and performance constraints. Designing new IoT WSN system that matches the application specific requirements is extremely important. In this paper, we present WiRoTip, a WSN node prototype for water pipeline application. An experimental and a comparative studies have been performed for the different node’s components to achieve a final adequate design.
Intelligent Transportation Systems , The Smart Grid And Your Electrical Infra...Jim Frazer
ITS, the Smart Grid and Your Electrical Infrastructure presentation delivered July 11, 2011 at the International Municipal Signal Association Annual Conference in Seattle, WA
Turning the internet of (my) things into a remote controlled laboratoryKamal Spring
Abstract—In this paper we use a locally developed adaptive
watering system as an example of a remote controlled laboratory
(RCL) developed with standard open hardware and using
libraries taken from the e-lab. This experiment is a particular
case that could benefit from a large number of RCLs proposing
different water budget strategies, allowing the studies of the
best controller algorithm to save water. The water consumption
log can be monitored in real-time and served to any user as a
distributed remote laboratory with support of a Raspberry PI
and a web connection, using an open source Arduino board and
custom made shield. The ultimate goal of RCLs will be achieved
when anyone can
Development of low cost TDR system for soil moisture measurementBhushan Patil
Soil moisture measurement is one of the difficult at same time much important task. Numbers of methods are available for soil moisture measurement. But after reviewing all these methods at last we come to the conclusion that each of these techniques has some of the limitations. So, it is always said that the ideal method for soil moisture measurement is yet to be perfected. After studying all of these techniques comparatively it is seen that Time Domain Reflectometer method has very much scope to develop most superior system for the task. TDR is nothing but a technology which measures frequency dependent properties of electric and dielectric materials with the use of electromagnetic waves. First off all EM wave is generated and gets transmitted in the sensor transmission waveguide put into the soil. Due to impedance mismatching fraction of the transmitted signal reflected back whose travelling time is a function of dielectric constant of the soil which depends on the amount of moisture present in the soil. High cost of TDR system is most serious limitation to use this technique. A care is taken while designing to provide highly accurate, low cost solution for soil moisture measurement. To reduce the cost instead of using complex FPGA, simpler low cost microcontroller is used. GSM module is used which gives the low cost, wireless communication so that the reading of the TDR can be send wirelessly in short time. A simple 16*2 LCD display is used, to provide the TDR reading at the site itself. Gravimetric method is used as reference for the calibration.
iot based low cost smart irrigation system
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
Real Time E-metering and Automation of KCT College Campus using an Android Mo...Eswar Publications
Automation is the technology stemming from web of things. To make a smart world to provide comfort for human life is the main focus of the researchers. In the current automated industry Embedded systems and IOT (Internet of Things) is becoming highly efficient and mandatory to exhibit the potential market. While performing various operations, power consumption and efficiency is an important issue with the comfort level of user. The combination of embedded technology and IOT is represented by using E-controller which is the appropriate one for system’s energy consumption and efficiency experiments with size factor. The main objective of the system is real time information and data monitoring of energy consumption. The proposed system introduces the
implementation of IOT using embedded technology to simplistic the peripheral circuit and to lower the power consumption, thereby providing a high quality solution for a Smart Hostel Management and Information system.
IoT Based Smart Energy Management in Residential ApplicationsMd Rakibul Hasan
I presented our paper (https://doi.org/10.1109/ICASERT.2019.8934523) at the "1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)" conference in 2019.
This paper proposes a smart IoT-based energy management system (EMS), which not only ensures transparency and credibility of energy data but also offers flexibility to the consumers by offering the facility of remotely controlling their home appliances.
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This slide is about detecting concealed object from images using Search Identification Network (SINet) just like predator searches its prey and identifies it.
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Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
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Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
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In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
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An IoT based smart irrigation management system(SIMS) using machine learning and open source technology
1. An IoT based smart irrigation
management system using
ML and open source
technologies
Prepared by Adarsha Dhakal
2. Irrigation Management System
Act of timing and regulating irrigation water application
in a way that will satisfy water requirement of the crop
without wasting water, energy and plant nutrients or
degrading soil resource.
Scarcity of clean water around the globe has generated a
need for its optimum utilization and IoT can become
savior.
3. Internet of Things
The networking capability that allows information
to be sent to and received from objects and
devices using the Internet.
IoT solutions based on specific sensors are
bridging gap between cyber and physical world.
It helps to achieve optimum water utilization in
farming.
Physical
world
IoT
Cyber
world
4. Soil Temperature.
Air relative humidity
Solar Radiation
Extra-Terrestrial
Radiation
Soil moisture
Air Temperature
Smart Irrigation
Management System
7. Hargreaves and Samani (1985)
Evapotranspiration can be calculated based on
temperature and Extra-terrestrial radiation.
ET0 = 0.0023Ra[(Tmax + Tmin)/2+17.8] sqr(Tmax - Tmin)
where Tmax and Tmin are maxm and minm temperature (oC)
and Ra = extra-terrestrial radiation(MJm-2day-1) which is
power of the sun at the top of Earth’s atmosphere.
8. Jones and Ritchie (1990)
Evapotranspiration can be calculated based on
temperature and solar radiation.
ET0 = α[3.87*10-3*Rs*(0.6 Tmax +0.4 Tmin +29]
where Tmax and Tmin are maxm and minm temperature (oC)
and Rs = solar radiation(MJm-2day-1) which is sunlight or
electromagnetic radiation emitted by sun.
9. Jones and Ritchie cont.
For calculating α,
if 5 < Tmax <= 35oC then α = 1.1
if Tmax > 35oC then α = 1.1+0.05(Tmax -35)
if Tmax < 5oC then α = 0.01 exp[0.18(Tmax +20)]
10. Cobaner (2011)
Evapotranspiration estimation method based on Neuro-
Fuzzy (NF) inference and found that the NF model (based
on solar radiation, air temperature, and relative humidity)
exhibits better accuracy than the combination of solar
radiation, air temperature and wind speed.
12. Zigbee Network
Zigbee is a standards-based wireless technology
developed to enable low-cost, low-power wireless
machine-to-machine (M2M) and internet of things (IoT)
networks. Zigbee is for low-data rate, low-power
applications and is an open standard.
13. Cubic Spline
➔ WEAKNESS
For some application
negativity is unacceptable.
Eg: Wind Speed, Solar
energy and rainfall received
are always having positive
values.
14. Cubic Spline
➔ WEAKNESS
If the given data is positive
cubic spline may give some
negative values along the
whole interval.
15. Conclusion
The soil moisture is a critical parameter for developing a smart
irrigation system.
The soil moisture is affected by a number of environmental
variables, e.g., air temperature, air humidity, UV, soil temperature,
etc.
The proposed algorithm uses sensors data of recent past and the
weather forecasted data for prediction of soil moisture of upcoming
days. The predicted value of the soil moisture is better in terms of
their accuracy and error rate.
The system prototype is cost effective, as it is based on the open
standard technologies.