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Int. J. Advanced Networking and Applications
Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290
3658
Automatic Monitoring of Soil Moisture and
Controlling of Irrigation System
Kandasamy V
Associate Professor, Department of EEE, Kumaraguru College of Technology, Coimbatore.
Email: kandasamy.v.eee@kct.ac.in
Divya R
PG Scholar, Department of EEE, Kumaraguru College of Technology, Coimbatore.
Email: divyadivi28995@gmail.com
----------------------------------------------------------------------ABSTRACT-----------------------------------------------------------
In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of
irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they
have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the
conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded
system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and
will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents,
water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation
plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using
Wireless Sensor Network (WSN) which helps the farmer to improve the yield.
Keywords - Drip irrigation, Data logger, Fertilizer, Hotspot, Multiplexer, Remote monitoring, Soil, sensors, ZigBee.
---------------------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: March 07, 2018 Date of Acceptance: April 09, 2018
---------------------------------------------------------------------------------------------------------------------------------------------------
I. INTRODUCTION
The Irrigation is the artificial application of water to the
soil for assisting in growing crops. Drip irrigation also
known as micro irrigation & is an irrigation method which
minimizes the use of water & fertilizer by allowing water
to drip slowly to the roots of plants, either onto the soil
surface or directly onto the root zone due to which a large
quantity of water is saved & also the fertilizer which
comes to the plant with the water. Indian agriculture is
dependent on the monsoons, which is dependent on the
nature and not a reliable source of water, so there is a need
for an automatic irrigation system in the country which
can provide water to the farms according to their moisture,
temperature and soil types & fertilizers. For a big farm
land with horticulture activity the solution will be an
automated system. Water contained in the soil is called
soil moisture. And it is very important for plant growth.
Water soluble fertilizer can be also applied without any
wastage by this drip irrigation system. The advantage of
using wireless sensors is to control all related parameters
for better irrigation management.
This paper gives a review of remote monitoring and
control system based on existing technologies. ZigBee or
Hotspot based remote control and monitoring system with
automatic irrigation management is proposed in this
project. The rest of the paper is organized as follows.
Section II summarizes the literature review on the existing
systems. Section III analyzes the main aim and prime
objective of the automatic irrigation system. Section IV
describes the basic need of the project. Section V
describes the proposed system. Finally, Section V deals
with conclusion and future scope. And the last is the
reference papers and publications.
II. LITERATURE REVIEW
After the research in the agricultural field, researchers
found that the yield of agriculture goes on decreasing day
by day. Use of technology in the field of agriculture plays
important role in increasing the production as well as in
reducing the extra man power efforts, water requirement
and fertilizer requirement. Some of the researchers tried
for betterment of farmers and provides the systems that
use technologies which are helpful for increasing the
agricultural yield. Some of such researches carried out in
the field of agriculture are summarized below.
In Turkey, 75% of the current fresh water is consumed in
the agricultural irrigation [11]. Therefore, efficient water
management plays an important role in the irrigated
agricultural cropping systems [16],[28]. In order to
produce more crop per drop, growers in (semi) arid
regions are currently exploring irrigation techniques in the
range from using less fresh water [3],[24]. One of them is
making agriculture in a manner of sense, which uses a
different type of sensors [19]. A site-specific wireless
sensor-based irrigation control system is a potential
solution to optimize yields and maximize water use
efficiency for fields with variation in water availability
due to different soil characteristics or crop water needs and
site-specific controlling irrigation valves [17],[3],[7].
Decision making process with the controls is a viable
option for determining when and where to irrigate, and
how much water to use. Temporal monitoring of soil
moisture at different growth stages of the crop could
prevent water stress and improve the crop yield [10],[5].
Sensor–based irrigation systems have been studied in
many applications [15], [21], [30], [31], [38], [1], [17],
[18].
Int. J. Advanced Networking and Applications
Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290
3659
In the last two decades, with the development of wireless
technologies, several researches focused on autonomous
irrigation with sensors in agricultural systems [25], [39].
Amongst these works, a micro sprinkler system has a
different place, and it was designed for latching the
controlled solenoid valves in a citrus orchard with wireless
sensors [33]. Afterwards, soil moisture sensors and
sprinkler valve controllers are being used for site-specific
irrigation automation [16],[22],[36],[27],[9]. The
advantages of using wireless sensors are having the
reduced wiring and piping costs, and easier installation
and maintenance in large areas [26],[37],[2]. After the
usage of wireless technology began in agricultural
irrigation, a trial was made to involve different types of
equipments in such instrumentations. In terms of
controllers,[22],[7],[8] were designed microcontroller site-
specific irrigation, wireless monitoring system was
implemented with a field programmable gate array
(FPGA) by [20].
In terms of protocols, infra-red, GSM/GPRS WPANs
(Wireless Personal Area Networks), Bluetooth, WLANs
(Wireless Local Area Networks) have been put to different
utilities to implement wireless sensors in precision
agriculture [37],[4],[35],[29]. Many studies have
successfully demonstrated the use of active and passive
microwave remote sensing too [13],[34],[14]. It has been
seen that many irrigation scheduling methods by wireless
sensors have been developed for the last several decades.
Many of the commercially available sensors, valves and
modules assembled for irrigation system networks are too
complex and/or costly to be feasible for site-specific
management of fixed irrigation systems. The adoption of
them by producers has been limited due to cost,
installation time, maintenance, and complexity of systems
[32], [23].
III. AIM & OBJECTIVE
Aim
The main aim of the research is to develop and to test an
automation system having a low cost equipment and
feedback type controller for site-specific management of
irrigation systems and also to have a alternative power
source like solar power or wind power. The data available
from the various sensors will be received at the wireless
base station for proper control, based on data.
Objective
The prime objective is to select the appropriate wireless
network to collect the data from moisture sensors, water
soluble fertilizer sensor placed in the field, temperature
sensors of various areas of the field, pressure sensors in
the irrigation system to monitor the proper drip of water
along with the fertilizer which are kept in a separate tank.
Another addition of the proposed automation system is to
install the digital cameras to monitor the plant growth and
overall condition of the field. In addition, the developed
irrigation method partly removes the excess workload of
the farmers.
To identify the suitable pump with facility for maintaining
certain recommended pressure in the water pipe. To
indentify proper sensors and monitoring device required
for the farming data like soil moisture, soil temperature,
soil fertilizer & chemical constituents.
Search of appropriate sensors with specifications and
coordinating wireless system for acquisition of various
data. To process the data based on the limits set and there
by controlling the whole irrigation management. To find
the economic method of drip irrigation and its technique
for automation regarding short term and long term crop.
IV. NEED OF THE PROJECT
In India, the market is mainly based on agriculture and the
climatic environment is isotropic and is not able to make
full use of agricultural assets. The main cause is the lack
of rains in many part of India and scarify of land water.
The demand for new water saving techniques in irrigation
is growing immediately right now. At the present period,
the farmers have been using irrigation technique in India
through the manual control in which the farmers irrigate
the land at the normal interval. This process sometimes
consumes additional water or sometimes the water reaches
delayed due to which the crops get dehydrated. The
effectiveness of the irrigation is determined by a number
of different factors, including the type of irrigation system
and the conditions at its instance of application.
Irrigation is the artificial application of water to the soil
usually for supporting in harvesting the crops. In crop
production, it is mainly used in desiccated area and in
periods of rain water shortfalls.
Surface Irrigation
Surface irrigation is defined as the group of application
techniques where water is applied and distributed over the
soil surface by gravity. It is by far the most common form
of irrigation throughout the world. Surface irrigation is
often referred to as flood irrigation, use of canals, rivers,
ponds, deep tube well are seen in surface irrigation.
Drip Irrigation
Drip irrigation, also known as trickle irrigation or micro
irrigation or localized irrigation, is an irrigation method
which saves water and fertilizer by allowing water to drip
slowly to the roots of plants, either onto the soil surface or
directly onto the root zone, through a network of valves,
pipes, tubing, and emitter[40].
V. PROPOSED SOLUTION
The betterment of agriculture depends on various
environmental parameters such as soil temperature, soil
moisture, relative humidity, pH of soil, light intensity,
fertilizing property of the soil, etc. Any small changes in
any of these parameters can cause problems like diseases,
improper growth of plant, etc. mainly resulting in lesser
yield.
Int. J. Advanced Networking and Applications
Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290
3660
The block diagram of the proposed system of input unit is
shown in Fig. 1 consists of different types of sensing unit
such as Soil Moisture Sensor to measure water content of
soil, Temperature Sensor detects the temperature,
Humidity Sensor to measure the presence of water in air,
Pressure Regulator Sensor to be selected for maintaining
the recommended pressure, Molecular Sensor selected for
better crop growth, Digital Camera with capability of
tracking and taking photographs of the crop field to find
the crop growth for measurement. The output of sensors
are converted to analog using D/A converter at the
transmitter input side and converted back to digital using
A/D converter at the receiver output side. Multiplexer
sometimes called Data selector is a combinational logic
circuit that selects one of 2n inputs and route it to the
output. The data obtained from different types of sensors
are transmitted to the Multiplexer using Wireless Sensor
Network. ZigBee or Hotspot modules for wireless data
transfer and receiving for control unit.
Fig. 1 Basic block diagram of proposed system (input
part)
The block diagram of the proposed system of control unit
is shown in Fig. 2 consists of data logger which allows
count information to be associated with the date and time,
and for the data to be downloaded onto a PC for flexible
and detailed data analysis, Demultiplexer split a combined
stream arriving from a shared medium into the original
information streams and fed to different types of actuators
such as drip irrigation pump, boring pump, fertilizer pump,
controlling of pump speed, controlling of fertilizer input
from the tank and display the field etc.
Fig. 2 Basic block diagram of proposed system (control
unit)
VI. CONCLUSIONS & FUTURE SCOPE
It can be concluded that the modern use of electronic,
electrical, chemical and mechanical systems will be very
advantages for better agricultural output. Preservation of
water sources and minimizing the use of inorganic
fertilizer are possible with these methods. Use of bio-
fertilizer in appropriate manner will find better guiding
parameters through the various sensing methods. In this
age of population explosion the huge demand of food can
be met with this state of the art process.
To keep the environmental balance of various sources of
this planet and maintaining the methane generation during
harvesting under control, this modern approach will help
to reach a target with more modern gadgets. In future days
to come, we can even apply food nutrients to the plant and
crop by air mixed with very less water, with better
monitoring.
REFERENCES
[1]. Abreu VM, Pereira LS (2002). Sprinkler irrigation
systems design using ISAMim. p. 022254.
[2]. Baggio A (2005). Wireless sensor networks in
precision agriculture. In: On-line Proc, of the
Workshop on Real-World Wireless Sensor
Networks, pp. 50-51.
[3]. Balendonck J, Hemming J, Van Tuijl BAJ, Pardossi
A, Incrocci L, Marzialetti P (2008). Sensors and
Wireless Sensor Networks for Irrigation
Management under Deficit Conditions (FLOW-
AID). International Conference on Agricultural
Engineering (AgEng2008). Conf. Proc. p.19.
[4]. Camilli A, Cugnasca CE, Saraiva AM, Hirakawa
AR, Corrêa LP (2007). From wireless sensor to
field mapping: Anatomy of an application for
precision agriculture. Comput. Electron. Agric., 58:
25-36
[5]. Coates RW, Delwiche M, Brown P (2005).
Precision Irrigation in Orchards: Development of a
Spatially Variable Micro sprinkler System.
Information and Technology for Sustainable Fruit
and Vegetable Production (FRUTIC). pp. 611-624.
[6]. Coates RW, Delwiche MJ (2006). Solar-Powered,
Wirelessly-Networked Valves for Site- Specific
Irrigation. ASABE Annual International Meeting.
Paper, pp. 062165
[7]. Coates RW, Delwiche MJ, Brown PH (2006a).
Control of individual micro sprinklers and fault
detection strategies. Precision Agric.,7: 85-99.
[8]. Coates RW, Delwiche MJ, Brown PH (2006b).
Int. J. Advanced Networking and Applications
Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290
3661
Design of a system for individual micro sprinkler
control. Trans. ASABE, 49(6): 1963-1970.
[9]. Damas M, Prados AM, Gomez F, Olivares G
(2001). HidroBus® system: fieldbus for integrated
management of extensive areas of irrigated land.
Microprocessors Microsyst. 25: 177-184.
[10]. Doraiswamy PC, Hatfield JL, Jackson TJ,
Akhmedov B, Prueger J, Stern A (2004). Crop
condition and yield simulations using Landsat and
MODIS. Remote Sensing Environ., 92: 548-559.
[11]. Dursun M, Ozden S (2010). A Prototype of PC
Based Remote Control of Irrigation. International
Conference on Environmental Engineering and
Application (ICEEA), pp. 255-258. (IEEE Catalog
Number: CFP1020L-PRT)
[12]. Dursun M, Ozden S (2011). Application of Solar
Powered Automatic Water Pumping in Turkey.
International Conference on Electrical Energy and
Networks (ICEEN), pp. 52-57. (IEEE Catalog
Number: CFP1155M-PRT)
[13]. Engman ET, Chauhan N (1995). Status of
microwave soil moisture measurements with
remote sensing. Remote Sensing Environ., 51: 189-
198.
[14]. Jackson TJ, Vine DL, Hsu AY, Oldak A, Starks P,
Swift C, Isham J, Haken M (1999). Soil moisture
mapping at regional scales using microwave
radiometry: the Southern Great Plains Hydrology
Experiment. IEEE Trans. Geosci. Remote Sensing,
37:2136-2151.
[15]. Jacobson BK, Jones PH, Jones JW, Paramore JA
(1989). Real-time greenhouse monitoring and
control with an expert system. Comput. Electron.
Agric., 3: 273-285.
[16]. Kim Y, Evans RG (2009). Software design for
wireless sensor-based site-specific irrigation.
Comput. Electron. Agric., 66: 159-165
[17]. Kim Y, Evans RG, Iversen WM (2008). Remote
sensing and control of an irrigation system using a
distributed wireless sensor network. IEEE Trans.
Instrum. Meas., 57(7): 1379-1387.
[19]. Lopez RJA, Sotoa F, Suardiaza F, Sancheza P,
Iborraa A, Verab JA (2009). ―Wireless Sensor
Networks for precision horticulture in Southern
Spain‖. Comput. Electron. Agric., 68: 25-35.
[20]. Mendoza-Jasso J, Vargas GO, Miranda RC, Ramos
EV, Garrido AZ, Ruiz GH (2005). FPGA-based
real-time remote monitoring system. Comput.
Electron. Agric., 49: 272-285.
[21]. Meron M, Assaf R, Bravdo B, Wallach R, Hallel R,
Levin A, Dahan I (1995). Soil sensor actuated
microirrigation of apples. In: Proceedings of the 5th
International Microirrigation Congress, ASABE.
pp. 486-491.
[22]. Miranda FR, Yoder R, Wilkerson JB (2003). A
site-specific irrigation control system. ASAE
Annual International Meeting. p. 031129.
[23]. Miranda FR, Yoder RE, Wilkerson JB, Odhiamboc
LO (2005). An autonomous controller for site-
specific management of fixed irrigation systems.
Comput. Electron. Agric., 48:183-197.
[24]. Ngaira JKW (2007). Impact of climate change on
agriculture in Africa by 2030. Sci. Res. Essays,
2(7): 238-243.
[25]. Oksanen T, Ohman M, Miettinen M, Visala A
(2004). Open configurable control system for
precision farming. Automation Technology for Off-
Road Equipment, Proceedings, 701P1004.
[26]. Panchard J, Rao S, Prabhakar TV, Jamadagni HS,
Hubaux JP (2006). COMMON-Sense Net:
Improved Water Management for Resource-Poor
Farmers via Sensor Networks. ICTD 2006
Conference.
[27]. Perry CD, Dukes MD, Harrison KA (2004). Effects
of variable-rate sprinkler cycling on irrigation
uniformity. ASAE Annual International Meeting, p.
041117.
[28]. Sezen SM, Celikel G, Yazar A, Tekin S, Kapur B
(2010). Effect of irrigation management on yield
and quality of tomatoes grown in different soilless
media in a glasshouse. Sci. Res. Essay, 5(1): 41-48.
[29]. Siuli Roy AD, Bandyopadhyays S (2008). Agro-
sense: Precision agriculture using sensor-based
wireless mesh networks. Innovations in NGN:
Future Network and Services. In: Proceedings of
the First ITU-T Kaleidoscope Academic
Conference (K-INGN 2008). pp. 383-388.
[30]. Stone KC, Smajstrla AG, Zazueta FS (1985).
Microcomputer-based data acquisition system for
continuous soil water potential measurements. Soil
Crop Sci. Soc. Fla. Proc., 44: 49-53.
[31]. Testezlaf R, Zazueta FS, Yeager TH (1997). A real-
time irrigation control system for greenhouses.
Appl. Eng. Agric., 13 (3): 329-332.
[32]. Thelen J, Goense D, Langendoen K (2005). Radio
wave propagation in potato fields. In: First
Workshop on Wireless Network Measurements
Int. J. Advanced Networking and Applications
Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290
3662
(co-located with WiOpt2005), pp. 1-4.
[33]. Torre-Neto A, Schueller JK, Haman DZ (2000).
Networked sensing and valve actuation for
spatially-variable microsprinkler irrigation. ASAE
Annual International Meeting. pp. 001158.
[34]. Ulaby FT, Dubois PC, Zyl JJV (1996). Radar
mapping of surface soil moisture. J. Hydrol., 184:
57-84.
[35]. Vellidis G, Tucker M, Perry C, Kvien C, Bednarz C
(2008). A real-time wireless smart sensor array for
scheduling irrigation. Comput. Electron. Agric., 61:
44-50.
[36]. Wall RW, King BA (2004). Incorporating plug and
play technology into measurement and control
systems for irrigation management. ASAE Annual
International Meeting. pp. 042189.
[37]. Wang N, Zhang N, Wang M (2006). Wireless
sensors in agriculture and food industry — Recent
development and future perspective. Comp.
Electron. Agric., 50: 1-14.
[38]. Zazueta FS, Smajstrla AG (1992). Microcomputer-
based control of irrigation systems. Appl. Eng.
Agric., 8(5): 593-596.
[39]. Manish Giri, Dnyaneshwar Natha Wavhal
(2013).Automated Intelligent Wireless Drip
Irrigation Using Linear Programming. International
Journal of Advanced Research in Computer
Engineering & Technology (IJARCET)Volume 2,
Issue 1.
[40]. Zhang Z (2004). Investigation of wireless sensor
networks for precision agriculture. ASAE Annual
International Meeting. p. 041154.
BIOGRAPHIES AND PHOTOGRAPHS
Kandasamy Varatharaju, is an
Associate Professor of Department of
Electrical and Electronics Engineering
in Kumaraguru College of Technology,
Coimbatore.
Divya Ragu, is a PG Scholar pursuing
Embedded System Technologies in the
Department of Electrical and
Electronics Engineering in
Kumaraguru College of Technology, Coimbatore.

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Automatic Monitoring of Soil Moisture and Controlling of Irrigation System

  • 1. Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290 3658 Automatic Monitoring of Soil Moisture and Controlling of Irrigation System Kandasamy V Associate Professor, Department of EEE, Kumaraguru College of Technology, Coimbatore. Email: kandasamy.v.eee@kct.ac.in Divya R PG Scholar, Department of EEE, Kumaraguru College of Technology, Coimbatore. Email: divyadivi28995@gmail.com ----------------------------------------------------------------------ABSTRACT----------------------------------------------------------- In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield. Keywords - Drip irrigation, Data logger, Fertilizer, Hotspot, Multiplexer, Remote monitoring, Soil, sensors, ZigBee. --------------------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: March 07, 2018 Date of Acceptance: April 09, 2018 --------------------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION The Irrigation is the artificial application of water to the soil for assisting in growing crops. Drip irrigation also known as micro irrigation & is an irrigation method which minimizes the use of water & fertilizer by allowing water to drip slowly to the roots of plants, either onto the soil surface or directly onto the root zone due to which a large quantity of water is saved & also the fertilizer which comes to the plant with the water. Indian agriculture is dependent on the monsoons, which is dependent on the nature and not a reliable source of water, so there is a need for an automatic irrigation system in the country which can provide water to the farms according to their moisture, temperature and soil types & fertilizers. For a big farm land with horticulture activity the solution will be an automated system. Water contained in the soil is called soil moisture. And it is very important for plant growth. Water soluble fertilizer can be also applied without any wastage by this drip irrigation system. The advantage of using wireless sensors is to control all related parameters for better irrigation management. This paper gives a review of remote monitoring and control system based on existing technologies. ZigBee or Hotspot based remote control and monitoring system with automatic irrigation management is proposed in this project. The rest of the paper is organized as follows. Section II summarizes the literature review on the existing systems. Section III analyzes the main aim and prime objective of the automatic irrigation system. Section IV describes the basic need of the project. Section V describes the proposed system. Finally, Section V deals with conclusion and future scope. And the last is the reference papers and publications. II. LITERATURE REVIEW After the research in the agricultural field, researchers found that the yield of agriculture goes on decreasing day by day. Use of technology in the field of agriculture plays important role in increasing the production as well as in reducing the extra man power efforts, water requirement and fertilizer requirement. Some of the researchers tried for betterment of farmers and provides the systems that use technologies which are helpful for increasing the agricultural yield. Some of such researches carried out in the field of agriculture are summarized below. In Turkey, 75% of the current fresh water is consumed in the agricultural irrigation [11]. Therefore, efficient water management plays an important role in the irrigated agricultural cropping systems [16],[28]. In order to produce more crop per drop, growers in (semi) arid regions are currently exploring irrigation techniques in the range from using less fresh water [3],[24]. One of them is making agriculture in a manner of sense, which uses a different type of sensors [19]. A site-specific wireless sensor-based irrigation control system is a potential solution to optimize yields and maximize water use efficiency for fields with variation in water availability due to different soil characteristics or crop water needs and site-specific controlling irrigation valves [17],[3],[7]. Decision making process with the controls is a viable option for determining when and where to irrigate, and how much water to use. Temporal monitoring of soil moisture at different growth stages of the crop could prevent water stress and improve the crop yield [10],[5]. Sensor–based irrigation systems have been studied in many applications [15], [21], [30], [31], [38], [1], [17], [18].
  • 2. Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290 3659 In the last two decades, with the development of wireless technologies, several researches focused on autonomous irrigation with sensors in agricultural systems [25], [39]. Amongst these works, a micro sprinkler system has a different place, and it was designed for latching the controlled solenoid valves in a citrus orchard with wireless sensors [33]. Afterwards, soil moisture sensors and sprinkler valve controllers are being used for site-specific irrigation automation [16],[22],[36],[27],[9]. The advantages of using wireless sensors are having the reduced wiring and piping costs, and easier installation and maintenance in large areas [26],[37],[2]. After the usage of wireless technology began in agricultural irrigation, a trial was made to involve different types of equipments in such instrumentations. In terms of controllers,[22],[7],[8] were designed microcontroller site- specific irrigation, wireless monitoring system was implemented with a field programmable gate array (FPGA) by [20]. In terms of protocols, infra-red, GSM/GPRS WPANs (Wireless Personal Area Networks), Bluetooth, WLANs (Wireless Local Area Networks) have been put to different utilities to implement wireless sensors in precision agriculture [37],[4],[35],[29]. Many studies have successfully demonstrated the use of active and passive microwave remote sensing too [13],[34],[14]. It has been seen that many irrigation scheduling methods by wireless sensors have been developed for the last several decades. Many of the commercially available sensors, valves and modules assembled for irrigation system networks are too complex and/or costly to be feasible for site-specific management of fixed irrigation systems. The adoption of them by producers has been limited due to cost, installation time, maintenance, and complexity of systems [32], [23]. III. AIM & OBJECTIVE Aim The main aim of the research is to develop and to test an automation system having a low cost equipment and feedback type controller for site-specific management of irrigation systems and also to have a alternative power source like solar power or wind power. The data available from the various sensors will be received at the wireless base station for proper control, based on data. Objective The prime objective is to select the appropriate wireless network to collect the data from moisture sensors, water soluble fertilizer sensor placed in the field, temperature sensors of various areas of the field, pressure sensors in the irrigation system to monitor the proper drip of water along with the fertilizer which are kept in a separate tank. Another addition of the proposed automation system is to install the digital cameras to monitor the plant growth and overall condition of the field. In addition, the developed irrigation method partly removes the excess workload of the farmers. To identify the suitable pump with facility for maintaining certain recommended pressure in the water pipe. To indentify proper sensors and monitoring device required for the farming data like soil moisture, soil temperature, soil fertilizer & chemical constituents. Search of appropriate sensors with specifications and coordinating wireless system for acquisition of various data. To process the data based on the limits set and there by controlling the whole irrigation management. To find the economic method of drip irrigation and its technique for automation regarding short term and long term crop. IV. NEED OF THE PROJECT In India, the market is mainly based on agriculture and the climatic environment is isotropic and is not able to make full use of agricultural assets. The main cause is the lack of rains in many part of India and scarify of land water. The demand for new water saving techniques in irrigation is growing immediately right now. At the present period, the farmers have been using irrigation technique in India through the manual control in which the farmers irrigate the land at the normal interval. This process sometimes consumes additional water or sometimes the water reaches delayed due to which the crops get dehydrated. The effectiveness of the irrigation is determined by a number of different factors, including the type of irrigation system and the conditions at its instance of application. Irrigation is the artificial application of water to the soil usually for supporting in harvesting the crops. In crop production, it is mainly used in desiccated area and in periods of rain water shortfalls. Surface Irrigation Surface irrigation is defined as the group of application techniques where water is applied and distributed over the soil surface by gravity. It is by far the most common form of irrigation throughout the world. Surface irrigation is often referred to as flood irrigation, use of canals, rivers, ponds, deep tube well are seen in surface irrigation. Drip Irrigation Drip irrigation, also known as trickle irrigation or micro irrigation or localized irrigation, is an irrigation method which saves water and fertilizer by allowing water to drip slowly to the roots of plants, either onto the soil surface or directly onto the root zone, through a network of valves, pipes, tubing, and emitter[40]. V. PROPOSED SOLUTION The betterment of agriculture depends on various environmental parameters such as soil temperature, soil moisture, relative humidity, pH of soil, light intensity, fertilizing property of the soil, etc. Any small changes in any of these parameters can cause problems like diseases, improper growth of plant, etc. mainly resulting in lesser yield.
  • 3. Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290 3660 The block diagram of the proposed system of input unit is shown in Fig. 1 consists of different types of sensing unit such as Soil Moisture Sensor to measure water content of soil, Temperature Sensor detects the temperature, Humidity Sensor to measure the presence of water in air, Pressure Regulator Sensor to be selected for maintaining the recommended pressure, Molecular Sensor selected for better crop growth, Digital Camera with capability of tracking and taking photographs of the crop field to find the crop growth for measurement. The output of sensors are converted to analog using D/A converter at the transmitter input side and converted back to digital using A/D converter at the receiver output side. Multiplexer sometimes called Data selector is a combinational logic circuit that selects one of 2n inputs and route it to the output. The data obtained from different types of sensors are transmitted to the Multiplexer using Wireless Sensor Network. ZigBee or Hotspot modules for wireless data transfer and receiving for control unit. Fig. 1 Basic block diagram of proposed system (input part) The block diagram of the proposed system of control unit is shown in Fig. 2 consists of data logger which allows count information to be associated with the date and time, and for the data to be downloaded onto a PC for flexible and detailed data analysis, Demultiplexer split a combined stream arriving from a shared medium into the original information streams and fed to different types of actuators such as drip irrigation pump, boring pump, fertilizer pump, controlling of pump speed, controlling of fertilizer input from the tank and display the field etc. Fig. 2 Basic block diagram of proposed system (control unit) VI. CONCLUSIONS & FUTURE SCOPE It can be concluded that the modern use of electronic, electrical, chemical and mechanical systems will be very advantages for better agricultural output. Preservation of water sources and minimizing the use of inorganic fertilizer are possible with these methods. Use of bio- fertilizer in appropriate manner will find better guiding parameters through the various sensing methods. In this age of population explosion the huge demand of food can be met with this state of the art process. To keep the environmental balance of various sources of this planet and maintaining the methane generation during harvesting under control, this modern approach will help to reach a target with more modern gadgets. In future days to come, we can even apply food nutrients to the plant and crop by air mixed with very less water, with better monitoring. REFERENCES [1]. Abreu VM, Pereira LS (2002). Sprinkler irrigation systems design using ISAMim. p. 022254. [2]. Baggio A (2005). Wireless sensor networks in precision agriculture. In: On-line Proc, of the Workshop on Real-World Wireless Sensor Networks, pp. 50-51. [3]. Balendonck J, Hemming J, Van Tuijl BAJ, Pardossi A, Incrocci L, Marzialetti P (2008). Sensors and Wireless Sensor Networks for Irrigation Management under Deficit Conditions (FLOW- AID). International Conference on Agricultural Engineering (AgEng2008). Conf. Proc. p.19. [4]. Camilli A, Cugnasca CE, Saraiva AM, Hirakawa AR, Corrêa LP (2007). From wireless sensor to field mapping: Anatomy of an application for precision agriculture. Comput. Electron. Agric., 58: 25-36 [5]. Coates RW, Delwiche M, Brown P (2005). Precision Irrigation in Orchards: Development of a Spatially Variable Micro sprinkler System. Information and Technology for Sustainable Fruit and Vegetable Production (FRUTIC). pp. 611-624. [6]. Coates RW, Delwiche MJ (2006). Solar-Powered, Wirelessly-Networked Valves for Site- Specific Irrigation. ASABE Annual International Meeting. Paper, pp. 062165 [7]. Coates RW, Delwiche MJ, Brown PH (2006a). Control of individual micro sprinklers and fault detection strategies. Precision Agric.,7: 85-99. [8]. Coates RW, Delwiche MJ, Brown PH (2006b).
  • 4. Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290 3661 Design of a system for individual micro sprinkler control. Trans. ASABE, 49(6): 1963-1970. [9]. Damas M, Prados AM, Gomez F, Olivares G (2001). HidroBus® system: fieldbus for integrated management of extensive areas of irrigated land. Microprocessors Microsyst. 25: 177-184. [10]. Doraiswamy PC, Hatfield JL, Jackson TJ, Akhmedov B, Prueger J, Stern A (2004). Crop condition and yield simulations using Landsat and MODIS. Remote Sensing Environ., 92: 548-559. [11]. Dursun M, Ozden S (2010). A Prototype of PC Based Remote Control of Irrigation. International Conference on Environmental Engineering and Application (ICEEA), pp. 255-258. (IEEE Catalog Number: CFP1020L-PRT) [12]. Dursun M, Ozden S (2011). Application of Solar Powered Automatic Water Pumping in Turkey. International Conference on Electrical Energy and Networks (ICEEN), pp. 52-57. (IEEE Catalog Number: CFP1155M-PRT) [13]. Engman ET, Chauhan N (1995). Status of microwave soil moisture measurements with remote sensing. Remote Sensing Environ., 51: 189- 198. [14]. Jackson TJ, Vine DL, Hsu AY, Oldak A, Starks P, Swift C, Isham J, Haken M (1999). Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sensing, 37:2136-2151. [15]. Jacobson BK, Jones PH, Jones JW, Paramore JA (1989). Real-time greenhouse monitoring and control with an expert system. Comput. Electron. Agric., 3: 273-285. [16]. Kim Y, Evans RG (2009). Software design for wireless sensor-based site-specific irrigation. Comput. Electron. Agric., 66: 159-165 [17]. Kim Y, Evans RG, Iversen WM (2008). Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Trans. Instrum. Meas., 57(7): 1379-1387. [19]. Lopez RJA, Sotoa F, Suardiaza F, Sancheza P, Iborraa A, Verab JA (2009). ―Wireless Sensor Networks for precision horticulture in Southern Spain‖. Comput. Electron. Agric., 68: 25-35. [20]. Mendoza-Jasso J, Vargas GO, Miranda RC, Ramos EV, Garrido AZ, Ruiz GH (2005). FPGA-based real-time remote monitoring system. Comput. Electron. Agric., 49: 272-285. [21]. Meron M, Assaf R, Bravdo B, Wallach R, Hallel R, Levin A, Dahan I (1995). Soil sensor actuated microirrigation of apples. In: Proceedings of the 5th International Microirrigation Congress, ASABE. pp. 486-491. [22]. Miranda FR, Yoder R, Wilkerson JB (2003). A site-specific irrigation control system. ASAE Annual International Meeting. p. 031129. [23]. Miranda FR, Yoder RE, Wilkerson JB, Odhiamboc LO (2005). An autonomous controller for site- specific management of fixed irrigation systems. Comput. Electron. Agric., 48:183-197. [24]. Ngaira JKW (2007). Impact of climate change on agriculture in Africa by 2030. Sci. Res. Essays, 2(7): 238-243. [25]. Oksanen T, Ohman M, Miettinen M, Visala A (2004). Open configurable control system for precision farming. Automation Technology for Off- Road Equipment, Proceedings, 701P1004. [26]. Panchard J, Rao S, Prabhakar TV, Jamadagni HS, Hubaux JP (2006). COMMON-Sense Net: Improved Water Management for Resource-Poor Farmers via Sensor Networks. ICTD 2006 Conference. [27]. Perry CD, Dukes MD, Harrison KA (2004). Effects of variable-rate sprinkler cycling on irrigation uniformity. ASAE Annual International Meeting, p. 041117. [28]. Sezen SM, Celikel G, Yazar A, Tekin S, Kapur B (2010). Effect of irrigation management on yield and quality of tomatoes grown in different soilless media in a glasshouse. Sci. Res. Essay, 5(1): 41-48. [29]. Siuli Roy AD, Bandyopadhyays S (2008). Agro- sense: Precision agriculture using sensor-based wireless mesh networks. Innovations in NGN: Future Network and Services. In: Proceedings of the First ITU-T Kaleidoscope Academic Conference (K-INGN 2008). pp. 383-388. [30]. Stone KC, Smajstrla AG, Zazueta FS (1985). Microcomputer-based data acquisition system for continuous soil water potential measurements. Soil Crop Sci. Soc. Fla. Proc., 44: 49-53. [31]. Testezlaf R, Zazueta FS, Yeager TH (1997). A real- time irrigation control system for greenhouses. Appl. Eng. Agric., 13 (3): 329-332. [32]. Thelen J, Goense D, Langendoen K (2005). Radio wave propagation in potato fields. In: First Workshop on Wireless Network Measurements
  • 5. Int. J. Advanced Networking and Applications Volume: 09 Issue: 06 Pages: 3658-3662 (2018) ISSN: 0975-0290 3662 (co-located with WiOpt2005), pp. 1-4. [33]. Torre-Neto A, Schueller JK, Haman DZ (2000). Networked sensing and valve actuation for spatially-variable microsprinkler irrigation. ASAE Annual International Meeting. pp. 001158. [34]. Ulaby FT, Dubois PC, Zyl JJV (1996). Radar mapping of surface soil moisture. J. Hydrol., 184: 57-84. [35]. Vellidis G, Tucker M, Perry C, Kvien C, Bednarz C (2008). A real-time wireless smart sensor array for scheduling irrigation. Comput. Electron. Agric., 61: 44-50. [36]. Wall RW, King BA (2004). Incorporating plug and play technology into measurement and control systems for irrigation management. ASAE Annual International Meeting. pp. 042189. [37]. Wang N, Zhang N, Wang M (2006). Wireless sensors in agriculture and food industry — Recent development and future perspective. Comp. Electron. Agric., 50: 1-14. [38]. Zazueta FS, Smajstrla AG (1992). Microcomputer- based control of irrigation systems. Appl. Eng. Agric., 8(5): 593-596. [39]. Manish Giri, Dnyaneshwar Natha Wavhal (2013).Automated Intelligent Wireless Drip Irrigation Using Linear Programming. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)Volume 2, Issue 1. [40]. Zhang Z (2004). Investigation of wireless sensor networks for precision agriculture. ASAE Annual International Meeting. p. 041154. BIOGRAPHIES AND PHOTOGRAPHS Kandasamy Varatharaju, is an Associate Professor of Department of Electrical and Electronics Engineering in Kumaraguru College of Technology, Coimbatore. Divya Ragu, is a PG Scholar pursuing Embedded System Technologies in the Department of Electrical and Electronics Engineering in Kumaraguru College of Technology, Coimbatore.