Weather Based Decision Support Application Towards Crop Protection, Crop Monitoring & Cost Optimization A Concept Proposal by Express Weather
Jul 13, 2015
Weather Based Decision Support Application Towards Crop Protection,Crop Monitoring & Cost Optimization
A Concept Proposal by Express Weather
Project Location
Our Project Area, Crop - Grape
To generate weather borne Disease, pest early alert for specific crop & its easy dissemination on real
time basis
To quantify disease, pest related risk over a period on a given crop at a given area & success rate of decision
support application
To disseminate the Decision Support
information on real time basis via user
friendly computer & mobile interface
Objectives
Project Attributes
Installation of AWS & generation of high resolution location
specific forecast data
Collection of weather vs. crop data (risk) & preparing algorithm
Development of software architecture
& simulation of weather &
agronomical data
GIS based resource map preparation
Development of web-interface &
mobile application for dissemination
Solar
SensorsTemp.HumidityWind (speed &direction)
Rainfall
Connectivity
GSM/GPRSEnergy
Automated Weather Station & Forecast Data Flow
Meteorological Domain Info
Map Based Output
Severe Weather Alert (simulation effect)
Superior Meteorological Data
AWS Highlight
Met sensors are robust & fitted with weather shield housingCapable of handling plant sensors within same data logger boardWorks on solar powerRemote management of AWS network via GSM/GPRS/RF Data access possible even every 10 minutes intervalLocal level capacity building program for quick support Seamless delivery over internet & mobile platform
Forecast Highlight
Need based access to the forecast variableForecast upto 7 days in advanceForecast over 100 meter gridHourly forecast updated twice a daySeamless data delivery over internet & mobile platform Integration & customization on GIS or mobile platform Automated validation process through AWS
Decision Support Backbone
Multilayer GIS based Resource Map (geo coded)
• Plot wise crop details & vegetation index
• Soil info
• Information on other crop nearby & influencing physical parameter viz. water body or hill etc.
• Plant monitoring support via geo tagged photograph
Agronomical Information
• Weather parameter & Disease, pest relationship data base
• Crop & disease, pest relation including outbreak information
• Such disease, pest relationship with other surrounding crop
• Development of Algorithm using AI
Weather Data & others
• Ground weather observation data
• Short historical data
• Location specific Forecast data (hourly)
• Plant & soil data (real-time)
Met domain
Ground Observation data (met ,plant & hydrological) via GSM
Weather forecast information
Processing Server (EW)
Risk Data base (crop)
Dissemination Server
Decision SupportInformation
AWS & Hydrology
GIS Base Map including Soil info
Information to the mass, beneficiaries
Decision Support Application, Process flow
GIS Based Approach
Left hand photograph is a locationmap of a particular area & on righthand top image showing a geo codedmap as per pruning time, along withvegetation situation
R1 to R5 is arbitrary risk, layed overplots, where crop stages aredifferent, therefore impact of diseaseoutbreak & weather perils are alsodifferent. Accordingly remedyplanning are to be made. Geo codedphotographs will elaborate actualdisease position of such plant/plots
Risk Alert
Decision Support
Application
Need based Application of Pesticide
Control on quality
Lowering crop risk will allow reduce
insurance premium
Better crop protection
Benefits
’
Dynamic web interface Information, alert, real-time risk map, Special feature, promo
SMS (English & vernacular)Information & alert only
Voice broadcasting (English & vernacular)Information & alert only
EW Mobile Application Information, alert, real-time risk map, along with read out option
Weather Pune 14th
Heavy cloud, temp34C, RH 55%, heavyRain Bet. 3-6pm
Dissemination
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0 2 4 6 8 10 12 14 16 18
wat
er
usg
ae
week after emergence ->
Typical Example of water use of Corn, against rise in Temp.
50° - 59°
70° -79°
90° -99°
Temp.= FWater = inch.
Crop Risk (location wise & stage wise)
Weather trend
Localized physical parameters Input for template designing
Key Benefits
• Customized product as per clients’ need• Cover linked with crop & weather risk • Low transaction cost• Transparent process• Faster claim settlement
Index Based Weather Insurance, Customize Approach
A structured approach to develop Location specific weather information & risk mitigation practice
Primary & secondary Research & Analysis
Prototype Generation & Installation, Testing, analysis-reanalysis
Development of Insurance Template Using GIS & Crop Protection Mechanism
What are the key problems associated with various beneficiary group & aligned Business and catastrophe risks ?
Primary research tool preparation & finalization
Primary research roll out plan
Primary research at proposed locations in parallel with secondary research
Data analysis & finalization of variables
What should be the final DSS system ?
Finalizations of variables & their correlation with final yields & other variables
Development of GIS base map & integration of data
Development of DSS prototype
Installation of Ground Observatory (AWS)
Gathering user specification & developing use cases
Specimen Implementation
Feedback & improvisation
How DSS system along with GIS based approach will develop better insurance template?
Location wise disease, pest incidence and loss quantification
Assessment of stage-wise risk & weather influence for a crop
Identification of friendly or adverse physical parameter alongside the land under insurance
Development of insurance template for commercial roll-out
Project Approach
Resource Pool
Met oerologist
Analyst
Sect or Specialist
Business Managers
Sales Managers
Ot hers
Organogram
1. Functional
Business Process
Research & Development
Sales & Marketing
Finance & Compliance
2. Regulatory
Each functional division will be represented
Planning Team Quality control Team Procurement Team
Express Weather
Express Weather
Eco Sapce, Ambuja Realty Campus Business ParkPremise 2/11, Block-B, 2nd Floor, Unit-205Action area – 2, New Town, RajarhatKolkata – 700156
Tanna Towers, 2nd FloorLaw College Road, Pune - 411004
[email protected] www.expressweather.in