ubiquitous agriculture u agri
play

Ubiquitous Agriculture (u-Agri) A Collaborative Research Project in - PowerPoint PPT Presentation

Ubiquitous Agriculture (u-Agri) A Collaborative Research Project in WSN between C-DAC and CRIDA Santosh Sam Koshy Senior Technical Officer NUCRC C-DAC, Hyderabad Email : santoshk@cdac.in National Ubiquitous Computing Research Resource Centre


  1. Ubiquitous Agriculture (u-Agri) A Collaborative Research Project in WSN between C-DAC and CRIDA Santosh Sam Koshy Senior Technical Officer NUCRC C-DAC, Hyderabad Email : santoshk@cdac.in National Ubiquitous Computing Research Resource Centre 8/24/2011 1 C-DAC, Hyderabad

  2. Agenda • Introduction to Ubiquitous Computing • u-Agri • System Architecture • System Components • Deployment Photographs • Results • Future Plans • Outcome of One Day Brainstorming on WSN in Agriculture National Ubiquitous Computing Research Resource Centre 2 8/24/2011 C-DAC, Hyderabad

  3. Ubiquitous Computing  Establishment of National Level Ubiquitous Computing Research Resource Centres  Wireless Sensor Network applications  Ubiquitous Agriculture  Smart Parking  Intelligent Intrusion Detection System – WSN Hardware Development – Adaptive Framework for WSN Application development – Ubiquitous Learning and Security – Context Aware Frameworks – Medical and Health related applications National Ubiquitous Computing Research Resource Centre 3 8/24/2011 C-DAC, Hyderabad

  4. u-Agri Objectives • Collaboration with Domain Experts • Aggregation of weather parameters from WSN • Temperature, Relative Humidity, Leaf Wetness • Rainfall, Solar Radiation, Wind Speed & Direction • Soil Moisture & Soil Temperature • Identification of suitable area in Agriculture for pilot experiment • Development of Decision Support Models • Dissemination of DSS Advisories National Ubiquitous Computing Research Resource Centre 4 8/24/2011 C-DAC, Hyderabad

  5. Pilot Experiment • Collaborative Research with Central Research Institute for Dryland Agriculture (CRIDA) • Pest & Disease Forewarning – Selected crop: Groundnut – Pest & Disease : Groundnut Leaf Miner & Groundnut Leaf Spot • Decision Support Advisory Models – Leaf Wetness Index based advisory for Leaf Spot – Temperature-Relative Humidity Index based advisory for Leaf Spot – Growing Degree Day Calculations for Leaf Miner National Ubiquitous Computing Research Resource Centre 5 8/24/2011 C-DAC, Hyderabad

  6. System Architecture National Ubiquitous Computing Research Resource Centre 8/24/2011 6 C-DAC, Hyderabad

  7. WSN Deployment Plan • 6 motes sensing • Temperature • Relative Humidity • Leaf Wetness • 1 mote sensing • Solar Radiation, • Wind Speed & Direction • Rainfall • Deployment in CRIDA Research Farms ~ 1 Acre • Gateway Subsystem for Data Aggregation & Storage on Remote DB National Ubiquitous Computing Research Resource Centre 7 8/24/2011 C-DAC, Hyderabad

  8. Field Deployment @ CRIDA Farm, Hayatnagar National Ubiquitous Computing Research Resource Centre 8/24/2011 8 C-DAC, Hyderabad

  9. Field Deployment National Ubiquitous Computing Research Resource Centre 8/24/2011 9 C-DAC, Hyderabad

  10. Domain Requirements @ Farm Site • Sensing Intervals • Temp and RH - Hourly • Leaf Wetness - 5 minutes • Rainfall - Aggregated at EoD • Solar Radiation - Hourly • Wind Speed – Hourly • Wind Direction - 15 minutes • Data aggregation for a continuous span of 90 - 120 days National Ubiquitous Computing Research Resource Centre 10 8/24/2011 C-DAC, Hyderabad

  11. Gateway Deployment @ CRIDA, Hayatnagar National Ubiquitous Computing Research Resource Centre 8/24/2011 11 C-DAC, Hyderabad

  12. Activities at the Gateway • Data Conversion Engine – Performs data conversion into standard engineering units • Local Storage – Weather data is stored into a sqlite database locally • Remote Storage – Runs independent database storage module which parses sqlite database and stores weather data remotely into RAS – Creates and maintains connection to RAS using CDMA modem National Ubiquitous Computing Research Resource Centre 12 8/24/2011 C-DAC, Hyderabad

  13. Remote Administration System • Website hosting sensor data aggregated from the fields. • www.ubicomp.in/uAgri • Graphical Analysis of Sensor Data • Decision Support Advisory Models • LWI based Advisory for Groundnut Leaf Spot • T/RH Index based Advisory for Groundnut Leaf Spot • Growing Degree Day Calculations for Groundnut Leaf Miner • SMS based Pest Management Advisories National Ubiquitous Computing Research Resource Centre 13 8/24/2011 C-DAC, Hyderabad

  14. www.ubicomp.in/uagri National Ubiquitous Computing Research Resource Centre 8/24/2011 14 C-DAC, Hyderabad

  15. Online Data Analysis National Ubiquitous Computing Research Resource Centre 8/24/2011 15 C-DAC, Hyderabad

  16. Graphical Analysis National Ubiquitous Computing Research Resource Centre 8/24/2011 16 C-DAC, Hyderabad

  17. Leaf Wetness Index Based Advisory National Ubiquitous Computing Research Resource Centre 8/24/2011 17 C-DAC, Hyderabad

  18. LWI Based Advisory for Groundnut Leaf Spot • If the cumulative Leaf Wetness Index (LWI) for the past 7 days exceeds 3.3, Fungicide administration is advised • Reference: Butler et al, 1994 • Wetness Hours The Wetness Index is calculated in relation to the Wetness Hours accumulated for the whole day using the following • Wetness Index If (WH/day <= 20) { WI = WH/20; } else { WI = 4.5 – 0.175*WH; } The Wetness Index is aggregated for the past 7 days National Ubiquitous Computing Research Resource Centre 18 8/24/2011 C-DAC, Hyderabad

  19. WSN Data Results National Ubiquitous Computing Research Resource Centre 8/24/2011 19 C-DAC, Hyderabad

  20. WSN LWI Based Advisory Crop : Groundnut Disease : Leaf Spot FP = Farmer’s Practice Kharif 2009 Rabi 2009 SS = Scheduled Sprays WSN = WSN Advisory FP SS WSN NT FP SS WSN NT NT = No Treatment No of treatments 1 2 1 0 3 8 4 0 (cost per spray per ha = 620) Yield with the RBD - - - - 1400 750 1650 1318 (Kg per ha) Benefit Ratio 1.1 2.18 3.35 - National Ubiquitous Computing Research Resource Centre 8/24/2011 20 C-DAC, Hyderabad

  21. Deployment Photographs @ CRIDA, Hayatnagar National Ubiquitous Computing Research Resource Centre 8/24/2011 21 C-DAC, Hyderabad

  22. Deployment at Ananthapur • Collaborating Organization : CRIDA, ARS Ananth apur • Deployment Coverage Area : 10 Acres • Total Groundnut Cultivation : > 100 Acres • Motes : > 25 C-DAC Motes • Sensors Deployed : Temperature, Relative Humidity & Leaf Wetness • Selected crop: Groundnut • Pest & Disease : Groundnut Leaf Miner & Groundnut Leaf Spot • Decision Support Advisory Models – Leaf Wetness Index based advisory for Leaf Spot – Temperature-Relative Humidity Index based advisory for Leaf Spot

  23. Deployment Photographs @ Ananthapur National Ubiquitous Computing Research Resource Centre 8/24/2011 23 C-DAC, Hyderabad

  24. Indigenous Motes Developed @ C-DAC National Ubiquitous Computing Research Resource Centre 8/24/2011 24 C-DAC, Hyderabad

  25. Project Status & Future Plans • Project Status – Completed 4 seasons in groundnut crop at CRIDA Hayatnagar – Deployment at ARS Ananthapur completed. Preparing for 1 st season in Kharif 2011 – Decision Support Advisory is integrated with SMS Gateway • Future Plans – Deployment at Farmer fields at Kadiri, Ananthapur – Correlation of Remote Sensing Data and WSN Data – Targeting other crops and agricultural practices like irrigation control and soil management National Ubiquitous Computing Research Resource Centre 25 8/24/2011 C-DAC, Hyderabad

  26. National Ubiquitous Computing Research Resource Centre 8/24/2011 26 C-DAC, Hyderabad

  27. Organizations Participating

  28. Outcomes of the Brainstorming 1. Integration of WSN & Remote Sensing 2. Decision Support Advisory Systems 3. WSN in Pest Management 4. Integration of WSN and Mobile Technology 5. Sensor Development 6. Historical Data Sets

  29. Outcomes of the Brainstorming • Additional Areas for WSN – Soil Health & Nutrient Analysis – Plant Health – Drought Monitoring – Irrigation Control – Food & Grain Storage – Climate Change 1. Continued Activity – Crop Weather Insurance 2. Collaborative Effort – Ground Water Detection 3. Low Cost – Long Range – Market Information 4. Patents 5. Technology Commercialization

  30. Many Thanks! Acknowledgements CRIDA Department of IT National Ubiquitous Computing Research Resource Centre 8/24/2011 30 C-DAC, Hyderabad

Recommend


More recommend