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Weather Based Decision Support Application Towards Crop Protection, Crop Monitoring & Cost Optimization A Concept Proposal by Express Weather
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Page 1: Express weather agri

Weather Based Decision Support Application Towards Crop Protection,Crop Monitoring & Cost Optimization

A Concept Proposal by Express Weather

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Project Location

Our Project Area, Crop - Grape

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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

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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

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Solar

SensorsTemp.HumidityWind (speed &direction)

Rainfall

Connectivity

GSM/GPRSEnergy

Automated Weather Station & Forecast Data Flow

Meteorological Domain Info

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Map Based Output

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Severe Weather Alert (simulation effect)

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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

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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)

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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

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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

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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

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Decision Support

Application

Need based Application of Pesticide

Control on quality

Lowering crop risk will allow reduce

insurance premium

Better crop protection

Benefits

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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

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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

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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

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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

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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