From Field Server to the IOT Yenu Wan National Chung Hsing University Taiwan
Field Server
Agricultural WMSNs Ubiquitous sensing Provide versatile applications
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Characteristics of FS
Development and application in agriculture is efficient Integration of sensors, network, camera, battery, solar power, (wireless) communication and software Can be distributed deployed in field for automatic monitoring and data collection Hierarchical structure, tree structure The networking, identification, communication, data capture usually by the root node and its software Infrastructure is through the Internet Easy to understand and develop the application of agricultural
Technology, cost, ... 3
Some FS applications in Taiwan
Examples
Farm monitoring and data collection automation
Chicken farm Paddy field
Integrated farming systems
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FS in the chicken-farm (K. S. company)
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Chicken farm: monitoring, data recording and management automation
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Platform of integration
Facilitate the automation of the farm FS SN + in farm devices + software → networked, scalable, efficient, flexible, can be intelligent
Good platform to development “intelligent” functions
“Friendly” development environment 8
Management system integration (The farm is 50 km south from the laboratory)
NH3
Analog Signal
Digital Signal
If-then-else rules
Automation Manage Model
Digital I/O
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相對
Opened
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R.H. 濕度
80 相對濕度(%) R.H. (%)
捲簾開啟時間 82.7%
8
60
6
40
4 雨滴 感測值
Rain
20
2
0
Rain drop output (Volt)
Closed
雨滴感測模組輸出電壓(V)
捲簾關閉時間
100
輸出電壓( V) (Volt) Rain sensor output
Ammonia, temperature, humidity, rain 8
Opened 捲簾開啟 6
3/31
4/1
a b
4
雨滴 Rain 感測器 S.
2 0
0 3/30
捲簾關閉 Closed
10
2:24 AM
4/2
3:36 AM
4:48 AM
6:00 AM
7:12 AM
30
40
80 70 60 50
30
40 30
20
20
溫度 Temp
10
10
0
0 0
5
10 時間(Hour)
Time (hr.)
15
氨氣濃度(PPM) NH.ppm)
溫度(℃) Temp.
50
25
90
相對濕度(%) R.H. (%)
R.H. 溼度 (%)
60
20 15 10 5 0 0.0
5.0
10.0 時間(Hour)
Time (hr.) 雞舍氨氣濃度
15.0
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FS in rice applications
Rice quality contest
Quality puzzles Good farmers + good place + nearby paddy field + same variety → different qualities How the environmental factors affect the rice quality in the rice growing stages How to improve the quality of rice farmers should adopt the advanced management
Data collection
FS deployed in the NCHU’s experimental rice field for rice multimedia data collection
Microclimate, soil water content, sunlight intensity, temperature, leaf color,..
Extracting parameters
Growing degree day, modified growing degree day, accumulated illuminance of different rice growing stages 13
PFS systems
Simple node
High resolution Sollar cell mode
Multi-functions
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Paddy field data acquisition
From the rice seedlings transplanted to mature harvest. Spring & fall crops 15
Quantification of farmer’s skill
Soil moisture (VWC) -flooded -irrigated –sunbaked (TK9)
Temperatures
Using the data of soil moisture content, temperature, humidity, sunlight, leaf color to understand skill farmer’s irrigation, management, fertilization, etc. stratagems
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Advance parameter extraction
Rice plant characteristics study through the FS system Chlorophyll vs. reflection colors 17
IOT
Internet of things (the future)
“...the Internet of things, also known as the Internet of objects, ... as a self-configuring wireless network of sensors... ” - Wikipedia “A global network infrastructure, linking physical and virtual objects ... offer specific objectidentification, sensor and connection capability ... federated services and applications... data capture, event transfer, network connectivity and interoperability” – CASAGRAS “Seems more than the Skynet in the Terminator”
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Internet development
From internet to IOT (Future Internet Conference Bled 2008)
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IT technology development to IOT
From: Broadband Business Forum/EXPO COMM Italia 2009Rome, Italy, 24 –25 November 2009
IOT structure (ETRI, CASAGRAS)
ETRI in CASAGRAS
Supporting technologies
Identification Technology Internet of Things Architecture Technology Communication Technology Network Technology Network Discovery Software and algorithms Hardware Data and Signal Processing Discovery and Search Engine Relationship Network Management Power and Energy Storage Security and Privacy Technologies 23
Important application areas
Public security: electric power network, intelligent disaster / crisis management in city, disaster surveillance, military material U-health care, structure health monitoring Public transportation Industrial: production, petroleum, coal mining Energy efficiency, environmental protection: water resource, atmosphere, ecology Logistics Agriculture 24
Agriculture perspective
How could the new technologies affect agriculture? What emerging innovations, technologies and market trends will be seen and likely to emerge in the future to agriculture? How will IOT empower farmers experience and capabilities? What new service architectures will be provided in agriculture? Privacy and data protection policy, unauthorized access 25
Need a broad and robust food safety structure
Some food safety crises in Taiwan
Pork from sick and/or dead swine went into market (~2005~)
Antibiotic residuals in fish (2006)
(disgusting ?)
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IOT solve BSE problem
Melamine-milk
BSE
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Dairy farms equipments with WMSN functions
Automation equipments used in dairy farms are good data acquisition systems
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Milk quality data acquisition by milk meter + ICT
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Dairy farms: Online dairy cow mastitis detection system
Milk quality inspection automation
Quarter-milk conductivity (QMC) meters (smaller)
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Automatic take-off and milk quality systems
Improve automation management systems with ICT ability remote, immediate, transparent, intelligent... 32
Thank you
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