From Field Server to the IOT

From Field Server to the IOT Yenu Wan National Chung Hsing University Taiwan Field Server  Agricultural WMSNs Ubiquitous sensing  Provide versati...
Author: Jessica Conley
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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%

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60

6

40

4 雨滴 感測值

Rain

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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

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雨滴 Rain 感測器 S.

2 0

0 3/30

捲簾關閉 Closed

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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.)

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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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