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Available online at https://www.ijasrd.org/
International Journal of Advanced Scientific
Research & Development
Vol. 06, Iss. 03, Ver. I, Mar’ 2019, pp. 20 – 23
Cite this article as: Aravindan, S., Vinothini, T., Nivedha, K., & Rajalakshmi, G., “Design of a Long Range Wireless Sensor
Network in Agriculture for Precision Irrigation”. International Journal of Advanced Scientific Research & Development
(IJASRD), 06 (03/I), 2019, pp. 20 – 23. https://doi.org/10.26836/ijasrd/2019/v6/i3/60303.
* Corresponding Author: S. Aravindan, aravindan@egspec.org
e-ISSN: 2395-6089
p-ISSN: 2394-8906
DESIGN OF A LONG RANGE WIRELESS SENSOR NETWORK
IN AGRICULTURE FOR PRECISION IRRIGATION
S. Aravindan1*, T. Vinothini2, K. Nivedha2 and G. Rajalakshmi2
1 Asst. Prof., Department of Computer Science and Engineering, E.G.S. Pillay Engineering College,
Nagapattinam.
2 Final Year, Department of Computer Science and Engineering, E.G.S. Pillay Engineering College,
Nagapattinam.
ARTICLE INFO
Article History:
Received: 18 Mar 2019;
Received in revised form:
29 Mar 2019;
Accepted: 29 Mar 2019;
Published online: 10 Apr 2019.
Key words:
Agriculture,
Irrigation,
ZigBee.
ABSTRACT
Efficient and low power utilizing data synchronization is a
challenging task for a Wireless-Sensor Network (WSN).
Therefore, it is crucial to design a lightweight data
synchronization protocols for these networks. An adaptive
data offset prediction model for WSN is proposed in this
project that exchanges fewer synchronization messages to
improve the accuracy and efficiency. The proposed model is
based on a tailored hardware and software aiming to extend
both sensor nodes and WSN lifetime. The coordinator is
aware of its sensor nodes available energy and such feature
enables estimating the remaining lifetime of each sensor
node. The sensor node system for data acquisition of long
range is the conceptual model for a sensor node hardware
and software system design, concerning energy management
improving both sensor nodes and network lifetime .The
experimental sensor nodes were employed to monitor soil
moisture , temperature ,humidity and light sensor also the
base station system model will validate in field conditions.
Copyright © 2019 IJASRD. This is an open access article distributed under the Creative Common Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original
work is properly cited.
INTRODUCTION
The wireless control system for agriculture motor is designed and implemented their
system to control the performance using SMS of cell phones, i.e. the motors performances
depend on turning ON/OFF remotely using mobile phones from any brand and also by sends
message when it started or done its performance. The controlled environment agriculture
scoping study discusses the intensive form of agriculture. The CEA uses hydroponics as a
substitute for soil or any other soil substitute. Exactness Horticulture (EH) is a term that
alludes to the use of Data Innovation (DI) the executives frameworks to cultivating. With a
Aravindan et al., (2019)
21 Volume 06, Issue 03, Version I, Mar’ 2019
EH framework, ranchers have access to important data that enables them to improve land
use and effectively utilize their restricted assets.
As of late, the field of exactness agribusiness has profited from the advancement of
wireless sensor networks (WSN) what's more, Internet-of-Things (IoT) advances. Different
WSN frameworks have been created to take care of issues identified with dairy cattle
observing , computerized water system , location of nuisances , and agrochemical decrease
Internationally, all through the most recent 50 years, water system improvement lightened
destitution by making work openings, bringing down sustenance costs, and expanding the
strength of ranch yield . In any case, the development of the populace around the world,
causing bigger nourishment requests, is expanding water utilization and puts a great deal
of weight on the water the executives frameworks. In that setting, there is a critical
requirement for improving accessible water system frameworks and growing new,
increasingly proficient ones.
Along these lines, we performed multidisciplinary look into in execution of best in
class microcontroller stages, acknowledgment of correspondence frameworks and making of
calculation for keen water system, with the point of actualizing a framework that will
guarantee an expanded yield also, nature of horticultural items by applying ideal water
system. In light of the info parameters, which are controlled by soil examination, and gotten
by the sensor hubs, the calculation self-sufficiently decides the ideal periods for water
system. In this unique circumstance, the sensor hub for estimating soil dampness and air
temperature on the horticultural field has been created. Estimated values from the sensor
hubs must be solid exchanged with insignificant power utilization, paying little heed to
their situation on the field and separate from the focal control unit of the framework. The
WSN forced itself as an intelligent decision, as it gives all the required conditions.
In this paper, we present the WSN engineering executed in our brilliant water
system framework. Proposed engineering contains Arduino-based sensor hubs for
estimating soil dampness strain and air temperature, outfitted with ZigBee correspondence
modules. Phosphorus is a vital component of the plant’s nucleic acids. Consequently, it is
considered to be a good predictor of the metabolic rates in plants and required for their
growth and development processes. However, the sorption/desorption of P in the soil
depends on several factors, and its measurement is traditionally implemented with
laboratory methods that need extensive and time-consuming labor. Recent research results
indicate that plant’s phosphorus content is linked to their respiration rates through a
scaling relationship . Other works also show that temporal variations of soil respiration can
be explained by the interactions of its moisture and temperature. Then, theoretically the
level of P varies in the soil when changes occur in these variables. Therefore, in this study
an indirect measurement of P is proposed using the low-cost sensors integrated in the
autonomous sensor node.
Whatever is left of the paper is composed as pursues. In area II we give a concise
outline of ZigBee standard for wireless sensor systems.
WIRELESS SENSOR NETWORK
WSN can comprise of an assortment of sensor hubs with diverse sorts of sensors. The
idea of smaller scale estimation, alongside remote correspondence, gives a colossal
assortment of conceivable applications. Among the most mainstream sorts of remote sensor
Design of a Long Range Wireless Sensor Network in Agriculture for Precision Irrigation
Volume 06, Issue 03, Version I, Mar’ 2019 22
systems, with low utilization and low speed information exchange, are systems dependent
on ZigBee standard. This standard characterizes higher-layer conventions in the convention
stack and has a wide application in remote low- control sensor systems with moderate costs.
ZigBee institutionalizes higher practical dimensions in the convention stack, of both
application and system layer.
The application layer gives a system to application improvement and correspondence
between application objects. The system layer arranges the system and permits parcel
directing. The system layer of the ZigBee standard depends on the IEEE 802.15.4 standard
that characterizes the connection layer and physical layer. The application layer of the
ZigBee standard comprises of application protests that are conveyed on sensor hubs. These
items speak to programming that controls equipment segments accessible on the gadget
(sensors, actuators, and so forth). One ZigBee application can have up to 240 application
objects, which can likewise be spoken to as end gadgets. Every application object is alloted
locally a one of a kind number, which different articles use as the location augmentation of
that gadget for simpler association and recovery in the system. ZigBee gadget object is an
uncommon item that offers administrations to application objects. It empowers them to
discover gadgets in the system and administrations that these gadgets offer.
The principle highlight of the system layer is making of organize topology in
correspondence between sensor hubs in the system. At the system level, ZigBee stack
convention characterizes three kinds of hubs: end gadget, switch what's more, facilitator.
The end gadget is the least difficult kind of gadget in the ZigBee arrange which cannot
permit other gadgets to join the system, nor can help steering information in the system.
Switch can course bundles in the organize. A gadget that makes and deals with the system
is called the organizer. It can likewise partake in bundle directing in work topology systems.
Switches and end gadgets can join the system simply after the facilitator makes it.
The connection dimension of the ZigBee gadget, together with the physical
dimension, is characterized by the IEEE 802.15.4 standard. This standard characterizes
two sorts of gadgets: Reduced Capacity Device (RFD – just end gadget) and Full Capacity
Device (FFD – end gadget or facilitator). The physical layer controls the
actuation/deactivation of the radio module, getting and sending information, performs
channel recurrence determination, checks whether the correspondence channel is occupied,
or whether a few information is right now being sent to the correspondence channel. The
development of a WSN predominantly relies upon the sort of utilization. Hence, the decision
of topology and arrange directing convention must be custom fitted to its motivation. ZigBee
innovation gives low-control answers for some IoT applications. For our application in
agribusiness, the information exchange speed is not critical, however the vitality also, life
expectancy of the system ought to be given higher significance. In this way, we created
WSN based on the ZigBee standard.
CONCLUSION
In this paper we displayed the design of the remote sensor arrange actualized in our
shrewd water system framework. WSN was structured utilizing correspondence modules
with ZigBee standard. This standard gives low power utilization and it was very
appropriate in this application, where the scalar information are exchanged through the
system with low inactivity. We depicted the Arduino-based sensor hub for soil dampness
Aravindan et al., (2019)
23 Volume 06, Issue 03, Version I, Mar’ 2019
what's more, air temperature estimation, utilized in this usage. We likewise portrayed
usage of the principle control unit identified with information procurement of the sensor
hubs. The proposed engineering is tentatively .The future work will be situated to
examination of different highlights, for example, control utilization decrease what's more,
minimization of the sensor hubs.
REFERENCES
[1] Bhanu, B. B., Rao, R. K., Ramesh, J. V. N., & Hussain, M. A., (2014) "Agriculture field
monitoring and analysis using wireless sensor networks for improving crop
production". 2014 Eleventh International Conference on Wireless and Optical
Communications Networks (WOCN). DOI: 10.1109/wocn.2014.6923043.
[2] Kadage, A. D., & Gawade, J. D., (2009) “Wireless Control System for Agriculture Motor”.
IEEE Computer Science, pp. 722 – 725.
[3] Krishna, P. S. G., & Mohana, J., (2018) "A shrewd and pervasive controlled condition
farming framework". International Journal of Advance Research, Ideas and
Innovations in Technology, 4 (3), pp. 1951 – 1952.
[4] Krutika, P., Ayesha, P., Prarthana, H., & Arya, C. S., (2016) "Plant Identification using
New Geometric Features with Standard Data Mining Methods". International
Journal of Innovative Research in Science, Engineering and Technology, 5 (12), pp.
21148 - 21152. DOI: http://dx.doi.org/10.15680/IJIRSET.2016.0512042.
[5] Sudha, N. M., Valarmathi, M.L., & Babu, A. S., (2011) "Energy efficient data
transmission in automatic irrigation system using wireless sensor networks".
Computers and Electronics in Agriculture, 78(2), pp. 215 - 221. DOI:
http://dx.doi.org/10.1016/j.compag.2011.07.009.
[6] Sun, B., Jao, J., and Wu, K., (2013) “Wireless Sensor Based Crop Monitoring System for
Agriculture Using Wi-Fi Network Dissertation”. IEEE Computer Science, pp. 280 –
285.
[7] Wang, Z-Q., Huang, H., Deng, J-M., & Liu, J-Q., (2015) "Scaling the respiratory
metabolism to phosphorus relationship in plant seedlings". Scientific Reports,
5:16377. DOI: http://dx.doi.org/10.1038/srep16377.

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Design of a Long Range Wireless Sensor Network in Agriculture for Precision Irrigation

  • 1. Available online at https://www.ijasrd.org/ International Journal of Advanced Scientific Research & Development Vol. 06, Iss. 03, Ver. I, Mar’ 2019, pp. 20 – 23 Cite this article as: Aravindan, S., Vinothini, T., Nivedha, K., & Rajalakshmi, G., “Design of a Long Range Wireless Sensor Network in Agriculture for Precision Irrigation”. International Journal of Advanced Scientific Research & Development (IJASRD), 06 (03/I), 2019, pp. 20 – 23. https://doi.org/10.26836/ijasrd/2019/v6/i3/60303. * Corresponding Author: S. Aravindan, aravindan@egspec.org e-ISSN: 2395-6089 p-ISSN: 2394-8906 DESIGN OF A LONG RANGE WIRELESS SENSOR NETWORK IN AGRICULTURE FOR PRECISION IRRIGATION S. Aravindan1*, T. Vinothini2, K. Nivedha2 and G. Rajalakshmi2 1 Asst. Prof., Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam. 2 Final Year, Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam. ARTICLE INFO Article History: Received: 18 Mar 2019; Received in revised form: 29 Mar 2019; Accepted: 29 Mar 2019; Published online: 10 Apr 2019. Key words: Agriculture, Irrigation, ZigBee. ABSTRACT Efficient and low power utilizing data synchronization is a challenging task for a Wireless-Sensor Network (WSN). Therefore, it is crucial to design a lightweight data synchronization protocols for these networks. An adaptive data offset prediction model for WSN is proposed in this project that exchanges fewer synchronization messages to improve the accuracy and efficiency. The proposed model is based on a tailored hardware and software aiming to extend both sensor nodes and WSN lifetime. The coordinator is aware of its sensor nodes available energy and such feature enables estimating the remaining lifetime of each sensor node. The sensor node system for data acquisition of long range is the conceptual model for a sensor node hardware and software system design, concerning energy management improving both sensor nodes and network lifetime .The experimental sensor nodes were employed to monitor soil moisture , temperature ,humidity and light sensor also the base station system model will validate in field conditions. Copyright © 2019 IJASRD. This is an open access article distributed under the Creative Common Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. INTRODUCTION The wireless control system for agriculture motor is designed and implemented their system to control the performance using SMS of cell phones, i.e. the motors performances depend on turning ON/OFF remotely using mobile phones from any brand and also by sends message when it started or done its performance. The controlled environment agriculture scoping study discusses the intensive form of agriculture. The CEA uses hydroponics as a substitute for soil or any other soil substitute. Exactness Horticulture (EH) is a term that alludes to the use of Data Innovation (DI) the executives frameworks to cultivating. With a
  • 2. Aravindan et al., (2019) 21 Volume 06, Issue 03, Version I, Mar’ 2019 EH framework, ranchers have access to important data that enables them to improve land use and effectively utilize their restricted assets. As of late, the field of exactness agribusiness has profited from the advancement of wireless sensor networks (WSN) what's more, Internet-of-Things (IoT) advances. Different WSN frameworks have been created to take care of issues identified with dairy cattle observing , computerized water system , location of nuisances , and agrochemical decrease Internationally, all through the most recent 50 years, water system improvement lightened destitution by making work openings, bringing down sustenance costs, and expanding the strength of ranch yield . In any case, the development of the populace around the world, causing bigger nourishment requests, is expanding water utilization and puts a great deal of weight on the water the executives frameworks. In that setting, there is a critical requirement for improving accessible water system frameworks and growing new, increasingly proficient ones. Along these lines, we performed multidisciplinary look into in execution of best in class microcontroller stages, acknowledgment of correspondence frameworks and making of calculation for keen water system, with the point of actualizing a framework that will guarantee an expanded yield also, nature of horticultural items by applying ideal water system. In light of the info parameters, which are controlled by soil examination, and gotten by the sensor hubs, the calculation self-sufficiently decides the ideal periods for water system. In this unique circumstance, the sensor hub for estimating soil dampness and air temperature on the horticultural field has been created. Estimated values from the sensor hubs must be solid exchanged with insignificant power utilization, paying little heed to their situation on the field and separate from the focal control unit of the framework. The WSN forced itself as an intelligent decision, as it gives all the required conditions. In this paper, we present the WSN engineering executed in our brilliant water system framework. Proposed engineering contains Arduino-based sensor hubs for estimating soil dampness strain and air temperature, outfitted with ZigBee correspondence modules. Phosphorus is a vital component of the plant’s nucleic acids. Consequently, it is considered to be a good predictor of the metabolic rates in plants and required for their growth and development processes. However, the sorption/desorption of P in the soil depends on several factors, and its measurement is traditionally implemented with laboratory methods that need extensive and time-consuming labor. Recent research results indicate that plant’s phosphorus content is linked to their respiration rates through a scaling relationship . Other works also show that temporal variations of soil respiration can be explained by the interactions of its moisture and temperature. Then, theoretically the level of P varies in the soil when changes occur in these variables. Therefore, in this study an indirect measurement of P is proposed using the low-cost sensors integrated in the autonomous sensor node. Whatever is left of the paper is composed as pursues. In area II we give a concise outline of ZigBee standard for wireless sensor systems. WIRELESS SENSOR NETWORK WSN can comprise of an assortment of sensor hubs with diverse sorts of sensors. The idea of smaller scale estimation, alongside remote correspondence, gives a colossal assortment of conceivable applications. Among the most mainstream sorts of remote sensor
  • 3. Design of a Long Range Wireless Sensor Network in Agriculture for Precision Irrigation Volume 06, Issue 03, Version I, Mar’ 2019 22 systems, with low utilization and low speed information exchange, are systems dependent on ZigBee standard. This standard characterizes higher-layer conventions in the convention stack and has a wide application in remote low- control sensor systems with moderate costs. ZigBee institutionalizes higher practical dimensions in the convention stack, of both application and system layer. The application layer gives a system to application improvement and correspondence between application objects. The system layer arranges the system and permits parcel directing. The system layer of the ZigBee standard depends on the IEEE 802.15.4 standard that characterizes the connection layer and physical layer. The application layer of the ZigBee standard comprises of application protests that are conveyed on sensor hubs. These items speak to programming that controls equipment segments accessible on the gadget (sensors, actuators, and so forth). One ZigBee application can have up to 240 application objects, which can likewise be spoken to as end gadgets. Every application object is alloted locally a one of a kind number, which different articles use as the location augmentation of that gadget for simpler association and recovery in the system. ZigBee gadget object is an uncommon item that offers administrations to application objects. It empowers them to discover gadgets in the system and administrations that these gadgets offer. The principle highlight of the system layer is making of organize topology in correspondence between sensor hubs in the system. At the system level, ZigBee stack convention characterizes three kinds of hubs: end gadget, switch what's more, facilitator. The end gadget is the least difficult kind of gadget in the ZigBee arrange which cannot permit other gadgets to join the system, nor can help steering information in the system. Switch can course bundles in the organize. A gadget that makes and deals with the system is called the organizer. It can likewise partake in bundle directing in work topology systems. Switches and end gadgets can join the system simply after the facilitator makes it. The connection dimension of the ZigBee gadget, together with the physical dimension, is characterized by the IEEE 802.15.4 standard. This standard characterizes two sorts of gadgets: Reduced Capacity Device (RFD – just end gadget) and Full Capacity Device (FFD – end gadget or facilitator). The physical layer controls the actuation/deactivation of the radio module, getting and sending information, performs channel recurrence determination, checks whether the correspondence channel is occupied, or whether a few information is right now being sent to the correspondence channel. The development of a WSN predominantly relies upon the sort of utilization. Hence, the decision of topology and arrange directing convention must be custom fitted to its motivation. ZigBee innovation gives low-control answers for some IoT applications. For our application in agribusiness, the information exchange speed is not critical, however the vitality also, life expectancy of the system ought to be given higher significance. In this way, we created WSN based on the ZigBee standard. CONCLUSION In this paper we displayed the design of the remote sensor arrange actualized in our shrewd water system framework. WSN was structured utilizing correspondence modules with ZigBee standard. This standard gives low power utilization and it was very appropriate in this application, where the scalar information are exchanged through the system with low inactivity. We depicted the Arduino-based sensor hub for soil dampness
  • 4. Aravindan et al., (2019) 23 Volume 06, Issue 03, Version I, Mar’ 2019 what's more, air temperature estimation, utilized in this usage. We likewise portrayed usage of the principle control unit identified with information procurement of the sensor hubs. The proposed engineering is tentatively .The future work will be situated to examination of different highlights, for example, control utilization decrease what's more, minimization of the sensor hubs. REFERENCES [1] Bhanu, B. B., Rao, R. K., Ramesh, J. V. N., & Hussain, M. A., (2014) "Agriculture field monitoring and analysis using wireless sensor networks for improving crop production". 2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN). DOI: 10.1109/wocn.2014.6923043. [2] Kadage, A. D., & Gawade, J. D., (2009) “Wireless Control System for Agriculture Motor”. IEEE Computer Science, pp. 722 – 725. [3] Krishna, P. S. G., & Mohana, J., (2018) "A shrewd and pervasive controlled condition farming framework". International Journal of Advance Research, Ideas and Innovations in Technology, 4 (3), pp. 1951 – 1952. [4] Krutika, P., Ayesha, P., Prarthana, H., & Arya, C. S., (2016) "Plant Identification using New Geometric Features with Standard Data Mining Methods". International Journal of Innovative Research in Science, Engineering and Technology, 5 (12), pp. 21148 - 21152. DOI: http://dx.doi.org/10.15680/IJIRSET.2016.0512042. [5] Sudha, N. M., Valarmathi, M.L., & Babu, A. S., (2011) "Energy efficient data transmission in automatic irrigation system using wireless sensor networks". Computers and Electronics in Agriculture, 78(2), pp. 215 - 221. DOI: http://dx.doi.org/10.1016/j.compag.2011.07.009. [6] Sun, B., Jao, J., and Wu, K., (2013) “Wireless Sensor Based Crop Monitoring System for Agriculture Using Wi-Fi Network Dissertation”. IEEE Computer Science, pp. 280 – 285. [7] Wang, Z-Q., Huang, H., Deng, J-M., & Liu, J-Q., (2015) "Scaling the respiratory metabolism to phosphorus relationship in plant seedlings". Scientific Reports, 5:16377. DOI: http://dx.doi.org/10.1038/srep16377.