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International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue III, March 2017 | ISSN 2278-2540
www.ijltemas.in Page 22
Precision Agriculture Based on Wireless Sensor
Network
Jyotshna Kumari
Student
Amity University, Lucknow, Uttar Pradesh
Satish Kumar
Professor
Amity University, Lucknow, Uttar Pradesh
Abstract: Satellite farming or precision agriculture is a concept
based on measurement, observations and response to the inter
and intra farm variations in the crops. The growth and
advancements in wireless sensor network (WSN) technology has
directed agriculture sector into a new trend of smart agriculture.
WSN technology provides processing of real time data from field.
This is obtained through the sensors which are physically
deployed into the fields. These smart agriculture approaches by
the help of WSN reduces wastage of resources in farming unlike
the conventional practice, and contribute in effectively utilizing
the necessary resources resulting in increased crop yields. In this
paper wireless agriculture and environment sensing system for
crop monitoring is presented. The system test is implemented
using the real time agricultural data and from the historical data.
The system precisely acquires data and the information from the
environment.
Keywords:- WSN, Precision Agriculture, Relative Humidity
(RH), Humidity Sensors, Irrigation controller, NRF24L01.
I. INTRODUCTION
griculture and farming plays a dominant role in the
economy of s country. As India is mainly a agricultural
country, more than 60% of Indian population depends on
agriculture for sustaining their life and agriculture is the most
important occupation for most of the families in India. But in
present scenarios it has been observed that the contribution of
Agriculture to GDP is declining nowadays and we are in urge
to increase the crop productivity with effectiveness and with
fine efficiency. In agriculture the irrigation is the most
important factor as the monsoon rainfalls are very
unpredictable and uncertain hence water scarcity is a big
challenge in agriculture sector. Due to this reason there exists
a demand for technical knowledge to make the irrigation
system more efficient.[1]. The term precision agriculture (PA)
is an approach to the farm which pinpoints the important
parameters in which crop production yield is bounded by
variable parameters, and figure out integral spatial variability
[6].
Much conventional irrigation system has been practiced from
the past. In order to improve these conventional methods there
has been developed many system using advanced technologies
in wireless sensor network which helps in reducing crop
wastes, prevents excess watering to crops and helps in
increasing crop yields. In this paper a system developed using
sensors to monitor crop-field and automate irrigation system
is studied and overviewed. This system gives an idea about
the wireless transmission of sensor data from fields to
coordinator, storing it in a database, and controlling required
field parameters from mobile application.
II. AGRICULTURE SYSTEM BASED ON WSN
An effective precision agriculture system has the function
that the terminal node can acquire soil moisture content,
humidity, temperature, conductivity and light intensity
through self- organized network. The collected information
are transmitted to the gateway wirelessly using modes like
LAN or WAN. The systems embrace the cluster topologies &
hierarchical routing protocols for this purpose. Every sensing
node are split into several clusters and each cluster is
analogous to a kind of immovable self-systemizing network.
The nodes are then further split in common & the cluster-head
nodes. Work of the common nodes is to accumulate the facts
which are sent to the cluster head nodes. The received facts
are banked into the memory unit. Then expert decision
support system analyzes & processes facts. The network node
must be on bulk-scale, and high density deploying method for
monitoring of the coverage sector and connectivity [10].
Fig: 1 WSN Network
A. Hardware Design of Sensor Nodes
A
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue III, March 2017 | ISSN 2278-2540
www.ijltemas.in Page 23
For reducing the bad-effects of the overmuch and lower than
upper limit use of the inputs, the new stereotype of P.A has
introduced [9]. The P.A system architecture dependent on
WSN technology comprises six basic sub units:- (1) sensor
unit, (2) amplifier unit,(3) analog to digital converter(ADC),
(4) transceiver, (5) processor unit and power unit in addition
with base stations, Internet access , hardware and software
systems. From Fig2, it shows the node network structures
which boosts system scalability [2]. Sensor is basically a
transducer which functions to convert the physical quantity to
be measured into an equivalent analog electrical signal. The
transducer output may not be appropriate to fanout ADC, so it
is amplified to proper level and digitally converted by ADC.
The processing unit control the operation of the sensing
nodes, and processes the collected facts raw information. The
processor unit is generally a microcontroller which manages
local processing operation on the sensed data. Also
microcontroller is programmed to carryout different
communication protocols for transmission of locally sensed
data to the nodes in neighborhood. For multihop controller is
also responsible to relay the sensed data by a different node to
next node in direction to coordinator node. Transceiver unit is
for communication among WSN nodes. Wireless
communication module as the name suggests, communicates
to another nodes, swap controlling information and transmit
and collect data .Sensor nodes, routers and gateway are used
to develop the WSN platform for the precision agriculture.
Using multiple routers allows wide coverage of network for
the precision agriculture.[3]
Sensor module functions for gathering temperature, humidity,
light intensity and other parameters and information
converting module. The power unit supply power required for
the sensor unit, the processor unit and the wireless
communication unit. Structure of hardware of node is shown
in Fig.2
Fig.2 Hardware structure of node.
B. Cluster-Head Node’s Hardware Design
Environment facts are acquired by the cluster-head nodes
itself. Signals from the deployed sensor nodes are received by
it which further integrate them and stores the data
automatically [4]. Node or cluster-head node hardware is
branched further in units like the , the analog to digital
converter (ADC) module, moisture sensor, the Wireless
communication unit, Liquid crystal display module, memory
unit and the power supplies. The sensed sensor signals are
sent to the signal processing circuit via cluster-head nodes.
Post analog to digital conversion, data is then sent to the
Microprocessor [5]. In case when Cluster-head node enquires
to self-systemized nodes , then cluster-head node get in return
the information from the concerned node regarding the
enquiry. Received data by the cluster-head node is then stored
automatically in the regular universal serial bus device. The
processor, sensors, Radio frequency transceiver in addition
with other parts consuming energy of the state control is
supported by the power management module which is battery
[8].
Fig.3 Cluster-head node unit[15]
III. SYSTEM DESIGN
In this system, low cost soil moisture sensors, humidity and
temperature sensors are used which continuously monitors the
field and send it to the web server using NRF24LO1
transceiver. Sensors are used to create wireless sensor
networks to monitor crops and automate irrigation[6].
Wireless sensor network acquires few technical supremacy on
a distributed multi-dimensional and multi-angle information
processing [7]. The sensor data are stored into database and
the web application is designed to analyze the data received
and also to check with the threshold value of the parameters to
be monitored like moisture, humidity and temperature. After
that the decision making is done at server end to automate the
irrigation process. In case of measurement of soil moisture if
the moisture is less than the threshold value then the motor is
switched ON and if it exceeds the threshold value the motor is
switch OFF. The system design is represented in fig.4.
Fig. 4. System design using wireless transmission
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue III, March 2017 | ISSN 2278-2540
www.ijltemas.in Page 24
A. Sensors Data Acquisition
The data acquisition in done through the various deployed
sensors in the system. Here In this system the sensors are
interfaced with the Arduino microcontroller and programmed.
 Soil Moisture Sensor
Once programmed the moisture sensors are placed inside the
box and kept in the field. This soil moisture sensor has two
probes which is inserted in the soil. These probes are used to
pass the current through the soil. The moist soil has less
resistance hence passes large current whereas dry soil has
more resistance hence passes small current. This resistance
value help in detecting the soil moisture. Fig 5 shows the soil
moisture sensor.
Fig. 5. Soil moisture sensor.
 Temperature and Humidity sensors
The DHT11 temperature and humidity sensor is used in this
system. The total amount of water vapor present in the air is
measured as humidity. The relative humidity is calculated as
when there is change in temperature the relative humidity also
changes. In agriculture the temperature and humidity changes
occur before and after irrigation. The water droplets in the air
after irrigation increases leading to the decrease in
temperature which in turns increases the humidity of the
surroundings. Hence the temperature and humidity readings
are often notified by the sensors to the user by the sensors so
that users can know the field conditions of every time. DHT11
temperature and humidity sensor are shown in fig.6.
Fig. 6. Temperature and humidity sensor
B. Wireless Data Transmission
The acquired data from the sensors are transmitted to the web
server using wirelessly. NRF24L01 module is used for
wireless transmission between the field and web server.
NRF24L01 is a single chip 2.4 GHz transceiver from Nordic
semiconductor. The data rate of this module is 256Kbps and
the required voltage is 1.9-3.6V. The transmitter and receiver
modules are connected with arduino boards. The transmitter is
placed in the field and receiver is placed at the system end.
For configuring, both transmitter and receiver is given a ID.
All transmitters must be known to the receiver’s ID. The
receiver will receive the data from the various transmitters
placed into the field. The receiver at the system end is
connected to the web server through the Ethernet 802.11.
The Ethernet is used for interfacing with the arduino
microcontroller due to its fast connection establishment and
low cost. When the receiver receives the data from
transmitter, it sends request to the web server. The Ethernet
able is connected to the arduino microcontroller using
Ethernet shield for arduino. The arduino Ethernet will be
assigned an IP address which should be in the network range.
The arduino is provided with the web server address for
sending he request. The web server is designed using PHP
script to insert values in the appropriate table.the web server
process the request and stores the received data into its
database[1].
The wireless data transmission using NRF24L01 is shown in
fig.7.
Fig.7. wireless data transmission using NRF24L01
C. Data Processing And Decision Making
Data processing is the task of checking data received from
various sensors and comparing with the threshold values
which is already fixed. The threshold value is set different for
different crops. This is due to the fact that different crops
needs different environment parameters. The decision making
is based on the variations of the data received on comparison
with the fixed threshold value. For instance, motor will be
switched On automatically if the moisture in the soil falls
below the threshold value and vice-versa. The farmer can
even switch On or Off the motor from mobile using mobile
application.
D. Automation of Irrigation system
The irrigation system is automated as soon as the control is
received from the web application. The relay switches are
used to pass the controls from the web application to electrical
switches using Arduino microcontroller. Relay is an
electrically operated switch. Low power circuits can be
controlled using relay. When the external voltage is applied,
International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Volume VI, Issue III, March 2017 | ISSN 2278-2540
www.ijltemas.in Page 25
the relay switches on or off. Fig. 8 Show the flow chart for
automatic control of the motor.
Fig.8. flow chart for automation system.
IV. CONCLUSION
The wireless transmission of the data from sensors using
wireless sensor network has been studied and overviewed.
Idea about the wireless transmission of sensor data from fields
to coordinator, storing it in a database, and controlling
required field parameters from mobile application has been
reviewed. Also the automated irrigation system and design
flow has been studied in this paper. The system is work
efficient and beneficial in agriculture sector. It reduces the
wastage of resources and increases the crop yield.
REFERENCES
[1]. Joaquin Gutierrez, Juan Francisco Villa-Medina, Alejandra Nieto-
Garibay, and Miguel Angel Porta-Gandara “ Automated Irrigation
System Using a Wireless Sensor Network and GPRS module” ,
IEEE Transactions On Instrumentation And Measurement, Vol.
63, No. 1, January 2014.
[2]. V.I Adamchuk et al. On-the-go Soil Sensors for Precision
Agriculture. Computers and Electronics in Agriculture,
vol.44,page.71-91,2004.
[3]. Ibrahim Mat, Mohamed Rawidean Mohd Kassim, Ahmad Nizar
Harun. Precision Agriculture Application using Wireless Moisture
Sensor Network.2015 IEEE 12th
Malaysia International conference
on communication (MMIC).
[4]. Alan Mainwaring, Joseph Polastre, Robert Szewczyk, David
Culler and Jhon Anderson. Wireless sensor Networks for Habitat
Monitoring. In Proc. First ACM International Workshop on
Wireless Sensor Networks and Applications, September 2002,
Atlanta, Georgia, USA, 2002.
[5]. Bogena H R, Husiman J A, Obed rster C, et al. Evalution of a
low-cost soil water content sensor for Wireless Sensor Network
applications[J]. Journal of Hydrology, 2007, 344 (I): 3242-3250.
[6]. Richard Beckwith,Daniel teibel and Pat Bowen.Report
from the field results: From an Agricultural Wireless Sensor
Network. In First IEEE Workshop on Embedded Networked
Sensors, 2004.
[7]. CardeIl20Iiver R, Smettem K, Kranz M, et at. A reactive soil
moisture sensor network design and field evaluation [J].
International journal of Distributed Sensor Networks, 2005,
I(2):149-162.
[8]. Pottieg Kaiser Wireless integrated network sensors[J].
communications of the ACM, 2000, 43(5)551-558.
[9]. A.K Fung, F.T Ulaby. Scattering from a Vegetation Layer .IEEE
Transactions on Geoscience Electronics, vol. 17, pp.I-6.
[10]. Sinem C E. Power efficient and delay aware medium access
protocol for sensor networks[J]. IEEE Transactions on Mobile
Computing 2006, 5(7):920-930.

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Precision Agriculture Based on Wireless Sensor Network

  • 1. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue III, March 2017 | ISSN 2278-2540 www.ijltemas.in Page 22 Precision Agriculture Based on Wireless Sensor Network Jyotshna Kumari Student Amity University, Lucknow, Uttar Pradesh Satish Kumar Professor Amity University, Lucknow, Uttar Pradesh Abstract: Satellite farming or precision agriculture is a concept based on measurement, observations and response to the inter and intra farm variations in the crops. The growth and advancements in wireless sensor network (WSN) technology has directed agriculture sector into a new trend of smart agriculture. WSN technology provides processing of real time data from field. This is obtained through the sensors which are physically deployed into the fields. These smart agriculture approaches by the help of WSN reduces wastage of resources in farming unlike the conventional practice, and contribute in effectively utilizing the necessary resources resulting in increased crop yields. In this paper wireless agriculture and environment sensing system for crop monitoring is presented. The system test is implemented using the real time agricultural data and from the historical data. The system precisely acquires data and the information from the environment. Keywords:- WSN, Precision Agriculture, Relative Humidity (RH), Humidity Sensors, Irrigation controller, NRF24L01. I. INTRODUCTION griculture and farming plays a dominant role in the economy of s country. As India is mainly a agricultural country, more than 60% of Indian population depends on agriculture for sustaining their life and agriculture is the most important occupation for most of the families in India. But in present scenarios it has been observed that the contribution of Agriculture to GDP is declining nowadays and we are in urge to increase the crop productivity with effectiveness and with fine efficiency. In agriculture the irrigation is the most important factor as the monsoon rainfalls are very unpredictable and uncertain hence water scarcity is a big challenge in agriculture sector. Due to this reason there exists a demand for technical knowledge to make the irrigation system more efficient.[1]. The term precision agriculture (PA) is an approach to the farm which pinpoints the important parameters in which crop production yield is bounded by variable parameters, and figure out integral spatial variability [6]. Much conventional irrigation system has been practiced from the past. In order to improve these conventional methods there has been developed many system using advanced technologies in wireless sensor network which helps in reducing crop wastes, prevents excess watering to crops and helps in increasing crop yields. In this paper a system developed using sensors to monitor crop-field and automate irrigation system is studied and overviewed. This system gives an idea about the wireless transmission of sensor data from fields to coordinator, storing it in a database, and controlling required field parameters from mobile application. II. AGRICULTURE SYSTEM BASED ON WSN An effective precision agriculture system has the function that the terminal node can acquire soil moisture content, humidity, temperature, conductivity and light intensity through self- organized network. The collected information are transmitted to the gateway wirelessly using modes like LAN or WAN. The systems embrace the cluster topologies & hierarchical routing protocols for this purpose. Every sensing node are split into several clusters and each cluster is analogous to a kind of immovable self-systemizing network. The nodes are then further split in common & the cluster-head nodes. Work of the common nodes is to accumulate the facts which are sent to the cluster head nodes. The received facts are banked into the memory unit. Then expert decision support system analyzes & processes facts. The network node must be on bulk-scale, and high density deploying method for monitoring of the coverage sector and connectivity [10]. Fig: 1 WSN Network A. Hardware Design of Sensor Nodes A
  • 2. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue III, March 2017 | ISSN 2278-2540 www.ijltemas.in Page 23 For reducing the bad-effects of the overmuch and lower than upper limit use of the inputs, the new stereotype of P.A has introduced [9]. The P.A system architecture dependent on WSN technology comprises six basic sub units:- (1) sensor unit, (2) amplifier unit,(3) analog to digital converter(ADC), (4) transceiver, (5) processor unit and power unit in addition with base stations, Internet access , hardware and software systems. From Fig2, it shows the node network structures which boosts system scalability [2]. Sensor is basically a transducer which functions to convert the physical quantity to be measured into an equivalent analog electrical signal. The transducer output may not be appropriate to fanout ADC, so it is amplified to proper level and digitally converted by ADC. The processing unit control the operation of the sensing nodes, and processes the collected facts raw information. The processor unit is generally a microcontroller which manages local processing operation on the sensed data. Also microcontroller is programmed to carryout different communication protocols for transmission of locally sensed data to the nodes in neighborhood. For multihop controller is also responsible to relay the sensed data by a different node to next node in direction to coordinator node. Transceiver unit is for communication among WSN nodes. Wireless communication module as the name suggests, communicates to another nodes, swap controlling information and transmit and collect data .Sensor nodes, routers and gateway are used to develop the WSN platform for the precision agriculture. Using multiple routers allows wide coverage of network for the precision agriculture.[3] Sensor module functions for gathering temperature, humidity, light intensity and other parameters and information converting module. The power unit supply power required for the sensor unit, the processor unit and the wireless communication unit. Structure of hardware of node is shown in Fig.2 Fig.2 Hardware structure of node. B. Cluster-Head Node’s Hardware Design Environment facts are acquired by the cluster-head nodes itself. Signals from the deployed sensor nodes are received by it which further integrate them and stores the data automatically [4]. Node or cluster-head node hardware is branched further in units like the , the analog to digital converter (ADC) module, moisture sensor, the Wireless communication unit, Liquid crystal display module, memory unit and the power supplies. The sensed sensor signals are sent to the signal processing circuit via cluster-head nodes. Post analog to digital conversion, data is then sent to the Microprocessor [5]. In case when Cluster-head node enquires to self-systemized nodes , then cluster-head node get in return the information from the concerned node regarding the enquiry. Received data by the cluster-head node is then stored automatically in the regular universal serial bus device. The processor, sensors, Radio frequency transceiver in addition with other parts consuming energy of the state control is supported by the power management module which is battery [8]. Fig.3 Cluster-head node unit[15] III. SYSTEM DESIGN In this system, low cost soil moisture sensors, humidity and temperature sensors are used which continuously monitors the field and send it to the web server using NRF24LO1 transceiver. Sensors are used to create wireless sensor networks to monitor crops and automate irrigation[6]. Wireless sensor network acquires few technical supremacy on a distributed multi-dimensional and multi-angle information processing [7]. The sensor data are stored into database and the web application is designed to analyze the data received and also to check with the threshold value of the parameters to be monitored like moisture, humidity and temperature. After that the decision making is done at server end to automate the irrigation process. In case of measurement of soil moisture if the moisture is less than the threshold value then the motor is switched ON and if it exceeds the threshold value the motor is switch OFF. The system design is represented in fig.4. Fig. 4. System design using wireless transmission
  • 3. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue III, March 2017 | ISSN 2278-2540 www.ijltemas.in Page 24 A. Sensors Data Acquisition The data acquisition in done through the various deployed sensors in the system. Here In this system the sensors are interfaced with the Arduino microcontroller and programmed.  Soil Moisture Sensor Once programmed the moisture sensors are placed inside the box and kept in the field. This soil moisture sensor has two probes which is inserted in the soil. These probes are used to pass the current through the soil. The moist soil has less resistance hence passes large current whereas dry soil has more resistance hence passes small current. This resistance value help in detecting the soil moisture. Fig 5 shows the soil moisture sensor. Fig. 5. Soil moisture sensor.  Temperature and Humidity sensors The DHT11 temperature and humidity sensor is used in this system. The total amount of water vapor present in the air is measured as humidity. The relative humidity is calculated as when there is change in temperature the relative humidity also changes. In agriculture the temperature and humidity changes occur before and after irrigation. The water droplets in the air after irrigation increases leading to the decrease in temperature which in turns increases the humidity of the surroundings. Hence the temperature and humidity readings are often notified by the sensors to the user by the sensors so that users can know the field conditions of every time. DHT11 temperature and humidity sensor are shown in fig.6. Fig. 6. Temperature and humidity sensor B. Wireless Data Transmission The acquired data from the sensors are transmitted to the web server using wirelessly. NRF24L01 module is used for wireless transmission between the field and web server. NRF24L01 is a single chip 2.4 GHz transceiver from Nordic semiconductor. The data rate of this module is 256Kbps and the required voltage is 1.9-3.6V. The transmitter and receiver modules are connected with arduino boards. The transmitter is placed in the field and receiver is placed at the system end. For configuring, both transmitter and receiver is given a ID. All transmitters must be known to the receiver’s ID. The receiver will receive the data from the various transmitters placed into the field. The receiver at the system end is connected to the web server through the Ethernet 802.11. The Ethernet is used for interfacing with the arduino microcontroller due to its fast connection establishment and low cost. When the receiver receives the data from transmitter, it sends request to the web server. The Ethernet able is connected to the arduino microcontroller using Ethernet shield for arduino. The arduino Ethernet will be assigned an IP address which should be in the network range. The arduino is provided with the web server address for sending he request. The web server is designed using PHP script to insert values in the appropriate table.the web server process the request and stores the received data into its database[1]. The wireless data transmission using NRF24L01 is shown in fig.7. Fig.7. wireless data transmission using NRF24L01 C. Data Processing And Decision Making Data processing is the task of checking data received from various sensors and comparing with the threshold values which is already fixed. The threshold value is set different for different crops. This is due to the fact that different crops needs different environment parameters. The decision making is based on the variations of the data received on comparison with the fixed threshold value. For instance, motor will be switched On automatically if the moisture in the soil falls below the threshold value and vice-versa. The farmer can even switch On or Off the motor from mobile using mobile application. D. Automation of Irrigation system The irrigation system is automated as soon as the control is received from the web application. The relay switches are used to pass the controls from the web application to electrical switches using Arduino microcontroller. Relay is an electrically operated switch. Low power circuits can be controlled using relay. When the external voltage is applied,
  • 4. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) Volume VI, Issue III, March 2017 | ISSN 2278-2540 www.ijltemas.in Page 25 the relay switches on or off. Fig. 8 Show the flow chart for automatic control of the motor. Fig.8. flow chart for automation system. IV. CONCLUSION The wireless transmission of the data from sensors using wireless sensor network has been studied and overviewed. Idea about the wireless transmission of sensor data from fields to coordinator, storing it in a database, and controlling required field parameters from mobile application has been reviewed. Also the automated irrigation system and design flow has been studied in this paper. The system is work efficient and beneficial in agriculture sector. It reduces the wastage of resources and increases the crop yield. REFERENCES [1]. Joaquin Gutierrez, Juan Francisco Villa-Medina, Alejandra Nieto- Garibay, and Miguel Angel Porta-Gandara “ Automated Irrigation System Using a Wireless Sensor Network and GPRS module” , IEEE Transactions On Instrumentation And Measurement, Vol. 63, No. 1, January 2014. [2]. V.I Adamchuk et al. On-the-go Soil Sensors for Precision Agriculture. Computers and Electronics in Agriculture, vol.44,page.71-91,2004. [3]. Ibrahim Mat, Mohamed Rawidean Mohd Kassim, Ahmad Nizar Harun. Precision Agriculture Application using Wireless Moisture Sensor Network.2015 IEEE 12th Malaysia International conference on communication (MMIC). [4]. Alan Mainwaring, Joseph Polastre, Robert Szewczyk, David Culler and Jhon Anderson. Wireless sensor Networks for Habitat Monitoring. In Proc. First ACM International Workshop on Wireless Sensor Networks and Applications, September 2002, Atlanta, Georgia, USA, 2002. [5]. Bogena H R, Husiman J A, Obed rster C, et al. Evalution of a low-cost soil water content sensor for Wireless Sensor Network applications[J]. Journal of Hydrology, 2007, 344 (I): 3242-3250. [6]. Richard Beckwith,Daniel teibel and Pat Bowen.Report from the field results: From an Agricultural Wireless Sensor Network. In First IEEE Workshop on Embedded Networked Sensors, 2004. [7]. CardeIl20Iiver R, Smettem K, Kranz M, et at. A reactive soil moisture sensor network design and field evaluation [J]. International journal of Distributed Sensor Networks, 2005, I(2):149-162. [8]. Pottieg Kaiser Wireless integrated network sensors[J]. communications of the ACM, 2000, 43(5)551-558. [9]. A.K Fung, F.T Ulaby. Scattering from a Vegetation Layer .IEEE Transactions on Geoscience Electronics, vol. 17, pp.I-6. [10]. Sinem C E. Power efficient and delay aware medium access protocol for sensor networks[J]. IEEE Transactions on Mobile Computing 2006, 5(7):920-930.