From travelling a two-way road to navigating across scales. Claudia Bauzer Medeiros Institute of Computing, UNICAMP Brazil

Transcription

1 From travelling a two-way road to navigating across scales Claudia Bauzer Medeiros Institute of Computing, UNICAMP Brazil

2 efarms and NavScales projects supported by FAPESP MICROSOFT RESEARCH VIRTUAL INSTITUTE, ( ) and ( ) And in-between

3 Outline efarms - context efarms - results and beyond NavScales context NavScales results so far

4 efarms a two-way road from small farms to the networked world

5 Outreach of Cooxupé

6

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8 Satellite sensors Cooperative COOXUPE Images Maps Ground sensor network Reports Models Databases UNICAMP PUC-Campinas Farmers Produce

9 Satellite sensors Two-way Road Cooperative COOXUPE Images Maps Ground sensor network Reports Models Databases UNICAMP PUC-Campinas Farmers Produce

10 Expertise involved UNICAMP Computer Science (Databases) (Image Processing) (Compilers and computer architecture) (Wireless networks) UNICAMP Agriculture Engineering (Agricultural model development) (Soil Sciences) (Remote Sensing) One (very) large coffee cooperative (COOXUPE) 14,000 farms Three states in Brazil

11 GOALS Science & Technology Sensor-based agricultural data management Models, methods, algorithms Data management, integration, analysis, visualization Low cost wireless data communications in rural areas => Infrastructure

12 GOALS Social Impact Decision support in agriculture Models and software tools Wireless data communications in rural areas => Low cost digital inclusion

13 RESULTS

14 Result overview Training in multidisciplinary research Financed by project - 4 undergrad, 1 MSc Involved Agriculture 3 PhD, 1 MSc Involved CS 4PhD, 3 MSc, 6 undergrad Publications 7 journal papers 18 conference papers 1 poster, 1 short paper Technological results Low cost networks Prototypes (software and hardware) Crop yield models

15 Main issues Sensor callibration and low cost networks Models for yield forecasting Image processing (with Genetic Programming) Databases and interoperability Time series mining Content annotation Sensor data management Escience infrastructure

16 Results (Low cost) Networks From sensors to Internet

17 Satellite sensors Cooperative COOXUPE Images Maps Ground sensor network Reports Models Databases UNICAMP PUC-Campinas Farmers Produce

18 Phase 1 Lab Tests

19 Phase Internet

20 Phase 4 3 farms in 2009 Cooperative Moisture network Radiation, temperature

21 UNICAMP

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23 Phase 4 - Sensor 3 m pole (4 sensors)

24 Sensors and cornstalks

25 Visible sensor

26 Daylight Jan 22, 2010 Underground Humidity (2 levels) Daylight Temperature (air, soil)???

27 Daylight Jan 22, 2010 Underground Humidity (2 levels) Daylight Temperature (air, soil) Two-way road

28 Phase 5 Real Farms & the 2-way road

29 Results Models, Images, DB

30 Models

31 Spatio temporal evolution How does this vary? What does it contain? Forecast? Comparison with others? Similar patterns? WHAT TO PLANT WHERE, WHEN AND HOW? 31/10000

32 32/10000

33 Thanks to Dr Rubens Lamparelli, UNICAMP

34 Models NDVI NDVI 0,8 0,7 0,6 0,5 Sugar cane 0,4 0,3 0, Decades Annotations 0,8 0,7 0,6 Urban area NDVI 0,5 0,4 0,3 0, Decades 0,8 0,7 Annual culture Image Processing Series Mining NDVI 0,6 0,5 0,4 0,3 0, Decades

35 Image processing

36 COFFEE IDENTIFICATION (Genetic programming)

37 Segment and classify

38 Series mining

39 Input 2 nd Closest 3 rd closest Farthest

40 Input 2 nd Closest 3 rd closest Farthest

41 Annotations

42 Workflow-driven annotations

43 A Case Study Get_ Annotatio n Schema Get Provenan ce Data County Classify, segment Obtain Yield Valida - <metadata> - <extendinfo> - <location> <county> <state> <country> </location> - <product> <name> </product> </extendinfo> </metadata> 43

44 Interoperability

45 Satellite sensors Cooperative COOXUPE Images Maps Ground sensor network Reports Models Databases UNICAMP PUC-Campinas Farmers Produce

46 Interoperability architecture

47 Some lessons Multidisciplinary projects need long-time cooperation Deployment of sensor networks need LOTS of expertise in telecommunications and electronics Economically viable nice solutions are not necessarily adopted

48 Some lessons Multidisciplinary projects need long-time cooperation Deployment of sensor networks need LOTS of expertise in telecommunications and electronics Economically viable nice solutions are not necessarily adopted Nice projects never end

49 efarms Offspring a) Sensors + event processing b) Time series annotations c) NavScales project

50 Interoperability Architecture - part of PhD /FAPESP Ivo Koga

51 Time series annotation (+CNPTIA/EMBRAPA Mapagri project) Felipe Silva

52 Serial annotator

53 NavScales Navigating through scales in space, time and domain knowledge

54 Goals Help Scientists to Navigate across data in multiple scales Navigate across literature in multiple domains Share, reuse and collaborate

55 Team Computer Science Geo-spatial databases Semantics Compilers / course dissemination Institute of Biology Bio-acoustics Faculty of Agriculture Yield models and planning

56 Satellite sensors Multi-scale scenario Ground sensor network 56

57 Fonoteca Neotropical Jacques Vieillard

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60 Paper EDBT 2013 workshop

61 Management of integrity constraints for multi-scale geospatial data FAPESP MSc defended March 2013 Joao Longo

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66 Fonoteca Neotropical Jacques Vieillard

67 **** METADATA ****

68 FAPESP-funded PhD research Daniel Cugler

69 Curation of metadata

70 Work being developed at U of Minnesota with Shashi Shekhar

71 Multi-focus issues Multidisciplinarity and multi-expertise Needs, models, requirements, vocabularies Heterogeneity Of teams, data, procedures, models, methods Complementary ways of looking at the world Complementary ways of approaching a problem computationally

72 From travelling a two-way road to navigating across scales NICE PROJECTS NEVER END

73 MORE TO COME

74 Acknowledgements FAPESP and Microsoft Research Virtual Institute UNICAMP IC, FEAGRI, CEPAGRI, IB STUDENTS Colleagues from USP CNPq and CAPES COOXUPÉ EMBRAPA - CNPTIA