En. Nagendran Perumal. On Knowledge Exchange Portal In Agriculture

Transcription

1 En. Nagendran Perumal On Knowledge Exchange Portal In Agriculture

2 Overall System Architecture WSN Local Sensor Management Sys Application DB Web Service EMS (Local NMS) Athena Semantic GIS Coordinator / WSN Gateway Parser Engine Application Browser Router Sensor mote Raw Database EMS Apps Database SCM Marketing Info Remote NMS Decision Support Sys SOA base Application Crop Ontology Agri Knowledge base

3 Objective Precision Agriculture Project aims to: Reduce Cost of fertilizer used by farmers by providing timely and accurate information Capture the tacit knowledge of framers and plantation managers to ensure that best practices are followed Build crop model for High Value Vegetables, Cash Crop and Industry Crop

4 Scope Develop a Knowledge Exchange Portal for sharing information across different crop stakeholder, government agencies and farmers. Use of technologies, such as Sensors Satellites images & weather information Data Mining Geographical Information System (GIS) Management Information System (MIS) to access and understand variations. Use Semantic Technology to develop a Crop Model that will be used by the Decision Support System (DSS) to make: Management Decision such as Alerts optimum sowing density estimate fertilizers accurately predict crop yields Automation

5 System Architecture Crop Ontology Agri Knowledge Base Local Sensor Management System (Greenhouse / Plantation) GSM Transmitter Sensor Edge Server Sensors & Readers PAMS Precision Agriculture Management System (Sensors) MIS Management Information System GIS Geographical Information System SES Sensor Edge Server SOA Service Orientated Architecture KEP Knowledge Exchange Portal DSS Decision Support System K-Nav Knowledge Navigator PAMS Sensor Database News Commodity DSS Weather K-Nav Knowledge Exchange Portal Market GIS Operational Database (Weather, Market, Costing etc MIS DSS K-Nav SOA Based Application Jen-II / PDA Browser

6 IT in Agriculture Key factors to consider: How to adjust software to the special features of agricultural information; How to enrich digital contents; How to utilize the Internet, especially to reduce time and monetary costs; How to provide easy-to-use systems for computer literacy; How to convince farmers of the potential benefits of IT

7 MIMOS Platform Farm 1 Data Farm 2 Data Farm 3 Data... Farm N Data Semantic Information Integration Application Specific Components Semantic Information Integration Semantic Decision Support System Semantic Annotation (GATE) Web Documents Locator RDB to RDF Converter Adaptive/Profiler SIxTra Semantic Technology Platform Components KB Interface Source Preprocessor Document Analyzer Document Categorizer Document Summarizer Semantic Query

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11 MIMOS Platform Crop Ontology Agri Knowledge Base WHAT PARAMETERS EFFECTS YEILD WHAT PARAMETERS EFFECTS FERTILISER USAGE WHEN TO FERTILISE THE PLANT BASED ON CURRENT LEVEL OF FERTILISER INCREASE IN CERTAIN PARAMETERS, HOW WILL EFFECT GROWTH WHAT CAN I GROW IN THIS LOCATION HOW CAN I REDUCE MY CROP CYCLE ALERT IF NEED TO FERTILISE, WATER, ETC ALERT IF TOO MUCH WATER, PH, TEMPERATURE ALERT WHEN SENSOR IS DOWN Semantic Decision Support System Application Specific Components Semantic Information Integration Semantic Decision Support System Semantic Annotation (GATE) Web Documents Locator RDB to RDF Converter Adaptive/Profiler SIxTra Semantic Technology Platform Components KB Interface Source Preprocessor Document Analyzer Document Categorizer Document Summarizer Semantic Query

12 Benefits Farmers, Managers, Agronomists, Organisations, Authorities Integrated Knowledge Portal Targeted Information to help planning, sharing resources Efficient and low cost field data acquisitions Capturing of Tacit Knowledge Advice & Consultation Logistics Management Information Geographical Information Monitoring Informed Decision Making

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14 Knowledge Exchange Portal Module Knowledge Exchange Portal (KEP) Features New & Highlight Farming Data Entry Farmer Registration Local Market Information Weather Information E-Advice (Forum & Chat) Commodity Information

15 Applications Module Features K-Navigator MIS K-Navigator Management Information System (MIS) Search Feature History Discovery Learning Data Processing Module Dashboard Administration Module Data Aggregation Reporting Module Analysis Module (Yield, Upkeep etc) GIS Geographical Information System (GIS) Map Creation Interface with Database Interface with Knowledge-Base Spatial Information - Terrain, Soil

16 Applications Module Features PAMS Precision Agriculture Management System (PAMS) Fault Management Sensor Management Backend Processor Mimos Sensor Edge Server Oracle Sensor Edge Server Oracle Athena Administration Web services management Alarm Management alert and escalation Statistical Process Control DSS Decision Support System (DSS) Profiling Agent Query Agent DSS GUI interface Alert Agent

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18 THANK YOU