Internet de las Cosas aplicadas a Smart Agriculture

Transcription

1 Internet de las Cosas aplicadas a Smart Agriculture Antonio F. Skarmeta, Miguel Angel Zamora <skarmeta@um.es> University of Murcia (UMU) SPAIN

2 Introduction The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data

3 Smart solutions are instrumented, interconnected and intelligent Instrumented + Interconnected + Intelligent Event capture and filtering for timely response Any to any linkage of people, process, and systems Deep discovery, analysis and forecasting = Smart 3

4 Borrowed from N. Gershenfeld Now, what s up? Internet-1 Internet-2 Internet-3 0 Internet-0: the Internet of Things ON THE INTERNET NOBODY KNOWS YOU RE A LIGHT BULB!

5 Changing Farm Environment Merging and Consolidatiion Run by corporations instead of families Larger areas per farm Increasing Global Competition Proifits from crop quality as well as quantity Costs and productivity improvement More sophysticated machinery and equipment per farmer Sustainable growth Increasing Environmental Concerns Land and environment conservation Polution reduction Natural disaster damage control

6 Evolving Farming Technology Today Electrical and mechanical Hardware oriented Manual and on-site control Independent dumb machines User and environment demanding Unpredictable quality and quantity Tomorrow Information Software oriented Automatic and remote control Networked smart machines User and environment friendly Predictable in quality and quantity

7 Precision Agriculture is an environment friendly system solution that optimizes product quality and quantity while minimising cost, human intervention and the variation caused by unpredictable nature.

8 Precision Agriculture Solutions Wireless integrated Zero configuration Location awareness Wired, Bulky User demanding Manual Unreliable

9 System Architecture acre Zones Smart Farm Station Multi-hop m per hop smart antennas Base Station Farmhouse Farmer

10 System Requirements Low-cost, low-power, small size networking devices unliscenced band short distance per hop low date rate Sensor information data < 50 bps/zone low mobility Long Battery life (> 8 months) Robust to environment variation temperature, humidity, rain, wind, growing plants User friendly Minimal network set-up and configuration Minimal network management

11 Smart Agriculture IoT architecture 03 Business Application #1 Business Application #2 Business Application #x Common Application Infrastructure Transport Network 1 Transport Network 2 Gateway Local Device #1 Network Device #2 Device #3 Device #x

12 Data context consumers OASC SmartCitie s Other Verticals/System Specific Platforms (e.g. distribution) Specific semantics Inbound PBI AIM Outbound PDI Public Data Broker (PDB) Algorithms Analysis tools Inbound ORION NGSI s Specific APIs NGSI FI-WARE ecosystem developers Specific Platforms NGSI NGSI (e.g. agriculture or production) Specific semantics (irrigation model: MEGA) Inbound ORION Inbound MEGA NGSI Outbound Inbound Outbound ORION ORION MEGA FIWARE Orion Irrigation broker (MEGA) Inbound AKIS Algorithms (Feiraco) Dashboards (Feiraco) Platform specifications Inbound AIM AIM Inbound TNO AIM AKIS AIM AIM Inbound Outbound MEGA TNO Dairy Broker (TNO) Other data sources CKAN Open Data Publi c data Existing IoT/AKIS Subsystem Outbound AKIS NGSI NGSI NGSI Other API NGSI Other API Publi c data Device Management Public sensor infrastructur es IoT NGSIbased IoT Ultralight2.0 Agent REST HTTP MQTT LWM2M CoAP IoT Gateway for IPv6 to ( , RF, SIGFOX, LoRA, etc) NGSIbased IoT Agent e.g. LORIOT Network Access Other IoT Driver Irrigation community (e.g. based on LoRA devices) NGSIbased IoT Agent e.g. SIGFox API Farm or Dairy (e.g. based on SIGFOX devices) Other IoT Driver

13 Monitoring of crops Irrigation Country explorer

14 Country explorer Waterproof Enclosure Electrical Enclosure IEEE IEEE G/GPRS measuring air/soil/water temperatures dielectric constant of the soil Soil parameters Water tension

15 Irrigation Management and remote Monitoring Define periods and time of crops irrigation Incident Alerts Remote management of valves and infield devices Remote Water consumption counters Management of irrigation community

16 Remote control of soils for fertilization optimization and hydric fingerprint Salinity, humidity and conductivity measurement Mesh network of sensors Decision making tools for irrigation and fertilization

17 Floods monitorization and emergency alerts Water level monitoring in wells and basins. Water level and speed monitoring Data analytics Predicción de emergencias Civil protection alerts

18 Agriculture control systems Irrigation control systems: Greenhouse Datalogger 18

19 SMART Farming Machine GPS guidance Information Rich Precise input placement Consistent spatial footprint Accurate field operations mapping Max production with less inputs Economic, Environmental, Social