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Advanced Sensors for Field Server
M. Hirafuji, H. Hu and T. Fukatsu
Computational modeling Lab.National Agricultural Research Center
Tsukuba Japan
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Requirements and Strategy
Effective sensation
Low energyconsumption
Low cost
Small
Maintenance-free
Calibration-less
Mass-production with system LSI
Combination of sensor-net and conventional
sensors
New sensors by new methods
Data sharedby user’s
collaboration
Internationalcollaboration
Interdisciplinarycollaboration
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Effective Sensation
• Temp, RH, Light and Image for all users
• CO2 for farmers and environmental scientists
• UV for outdoor sport players and environmental scientists
• Wetness for housekeepers and farmers
• Soil Moisture for farmers and environmental scientists
• Virus and bacteria for residents, farmers and biological scientists
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UV, CO2 and Leaf-wetness sensors
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Raindrops
Humidity sensor
Screen
Wetness Sensor
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Installed Wetness Sensor
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Wetness Detection
Humidity (Raw data)
0
20
40
60
80
100
120
140
160
180
200
0:00:4
3
2:03:4
2
4:03:4
2
6:03:4
2
8:03:4
2
10:03
:42
12:03
:42
14:03
:42
16:03
:42
18:03
:42
20:03
:42
22:03
:42
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Relationship CO2 & UV
250
300
350
400
450
500
550
0 20 40 60 80
CO2[ppm]
UV(raw)
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Fully Unwired (Cable-less)
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Network Architecture
Hotspot
Interconnection between APs
Cable
Conventional Field Servers(Access-point, Continuously work)
Solar-energy Driven Field Servers(Client connection, Intermittent work)
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A Result of Field Test
0
10
20
30
40
50
60
70
80
90
9/4 9/14 9/ 24 10/ 4 10/14 10/24 11/3 11/13
RH[%]
Temp[℃]
Battery[V]
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Conclusions
• Solar-cell-driven Field Server was developed for sensor-network.
• Leaf-wetness sensors was developed.
• CO2 & UV sensors were tested.
• New sensors can be developed instantly by using Field Monitoring Servers
• 3ch soil moisture sensor is under developing.