Remote Agroecological Monitoring System

58 Pages·2012·2.55 MB·English

Special Session on Communication, Navigation, Sensing and Services
Remote Agroecological Monitoring System
Dr. Richard (Cheng-Long) Chuang
Intel-NTU Connected Context Computing Center
National Taiwan University
Contents
1. Background information
2. System functionality
3. Device and infrastructure
4. Scalability
5. Network deployment
6. Other related applications
7. Summary
Background info
Description of the Problem
• Climate change
• Greenhouse gas emission
• Extreme weather & shifting seasons
• Environment & ecological variations
• Precipitation pattern changes
• Pest proliferation
• Agricultural productivity
• Reducing yields of desirable crops
• Food security
• Insufficient food resource
State-of-the-art & limitations
• Understanding pest behavior
• Pest density survey
• Integrated pest management program
• Current methodology
• Pesticide
• Bottle traps
• Yellow sticky papers
• Limitations
• Poor efficiency – 20 days data delay
• Poor temporal and spatial resolutions
• Lack of analytical models
Application scenario and smart
service
• Sensing
• Collecting infield information
• Analysis
• Improving the knowledge system
• Data transparency
• Web-based pest information
• Smart service
• Risk-level assessment & adaptive
management
Partners involved
National Taiwan Intel-NTU Intel Corporation National
University CCC Center Science Council
National Taipei Taipei City Wireless Sensor Council of
University of Government Network Center Agriculture
Technology
Bureau of Animal and Farmers TaiPower Forestry Bureau
Plant Health Inspection Association Company
And Quarantine
Background information –
Subject of the study
• Bactrocera dorsalis (Hendel)
• Alias name – Oriental Fruit Fly (OFF)
• Major economic insect in many countries
• Damaging capability
OFF
• >30 types of economic
fruits are potential hosts of OFF
• ~130 million USD annual agriculture losses solely in
Taiwan
Background information –
Real-world application scenario
(using IP and ZigBee)
GPS
7‐day Pest density forecast
Early warning of Satellite
pest outbreaks
Government Farmers
Web &
analysis
server Gateway 3G Base Station
Internet WSN‐based Monitoring Station
Challenges Objectives
• Network reliability • Weather durability
• Remote accessibility • Remote control
• Network scalability • Smart service
9
Background information –
Real-world application scenario
Cloud
A generic IoT framework service
Storage Analysis
service service
Fix node
Mobile node
Decision support for
greenhouse owners
M2M gateway
Ethernet hub
for high-speed data
exchanging
Large-scale greenhouse
Sensor node localization
Dynamic network topology management
Cloud computing capability Embedded systems for enhancing
local analyzing capability
[Deployed in June, 2012] (connected with private cloud)