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IFPRI-Remarks on including ICT as part of pmfby-rajeev chawla
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Transcript of IFPRI-Remarks on including ICT as part of pmfby-rajeev chawla
Use of Technology in Crop
InsuranceRajeev Chawla, IAS
Principal Secretary to Government
Horticulture & Sericulture Department
Government of Karnataka
Index
• Issues in the present system
• New initiatives taken up by Karnataka
• Advantages of the new system
• Challenges faced in implementation
Crop Insurance
• Difficult to find out whether all loanee farmers have been covered under crop insurance.
• Farmer taking crop insurance multiple times for same land
• Government not able to know farmers who are not getting covered under crop insurance
• Delayed transfer of funds by banks to insurance companies may result in loss of cover for farmer
Crop Cutting Experiment
• Fully Opaque system
• Difficult to manage about 14000 primary workers
• Handling 89000 Experiments
• Experiment generation is a time consuming task
• Delay in submission of data to Government
• Crop Cutting Experiment data can be manipulated due to
▫ No supervision while crop cutting
▫ Scope for manipulation as data reaches Bangalore after months
Claims Settlements
• Settlement of claims get delayed by 12-18 months▫ Government not even aware when and whom amount has gone
• Under WBCIS calculation of payouts based on the weather parameters is a tedious task.
• Manually comparing the weather stations data –challenge.
Features
• Crop Insurance
▫ Fully work flow based web enabled system
▫ All 9000 bank branches used the IT system
▫ Facility to capture Aadhaar
▫ Connects to Land database
▫ All jurisdiction wise notified crops fed into the system.
No need to physically verify the hard copy of the notification.
No worry of non notified crop selection
Features of Samraksahane
BHOOMI RTC DATA
KSNDMC WEATHER DATA
NADACH-ACHERI
CASTE, FARMER
DATA
BANKS
INSURANCE COMPANIES
ECONOMICS & STATISTICS / REVENUE
DEPT. OF HORTICUTURE & AGRICULTURE
STAKEHOLDERSDATA INTEGRATION
MODULESCROP INSURANCE MODULE
DATA CENTER
*Application *DataServices Firewall
AADHAR FARMER DATA
Users
Administrator
• To create users and to approve master entries• Domain - GoK
Farmers
• For submitting the application• Not enabled for this season
Bank Operator
• Bank operator for insurance proposal entry• Domain -Any Bank Employee/Data Entry Operator
Bank Manager
• Bank Manager for insurance proposal approval and forwarding to insurance company
• Domain - Respective Bank Branch
Insurance Company
• Insurance company operator • Domain - Respective Insurance Company
Contd...
• The software is a web based module▫ The farmer can register from any where though internet.
• Insurance companies was provided facility to appoint intermediaries and enrol farmers at Raitha SamparkaKendras (Sub taluk level)
• Gram Panchayt can be use as data entry operator▫ Raise request and payment at Banks
• Mobile app for verification of Insured crops▫ To prevent area reduction factor
Features of Samrakshane
• Crop Cutting Experiment▫ Selection of Villages and Plot
Generating experiment details crop/GP/Hobli wise
Integrating with Bhoomi database for village and survey numberswith ownership information.
Auto Randomization of villages for Year and Season.
Auto selection of random number for selection of survey number.
Auto selection of random number for selection of plot .
▫ Using remote sensing data
Working with Mahalanobis centre for Cotton, Maize and Paddy
Selection of area propositionally in accordance with crop density
▫ High, Low and Medium
Contd...
• Assigning of Team for Field work
• Field Work▫ Two stage activity
Form 1 and Form 2
• All activities to be done on the mobile devices
• Form 1 activity▫ Two sets of 5 sy nos are selected.▫ Mobile nos of farmers, land co ordinates and photos
are captured
Contd...
• Form 2 activity
▫ One sy no from each of the two set would berandomly selected and shown for CCE.
▫ land co ordinates, data, videos and photos arecaptured
• The flexibility of the mobile app to work both in online and offline mode
▫ Connectivity at village level is still an issue
Crop Insurance
• Connect to Land Database (BHOOMI)▫ De duplication of Insured Land
▫ Helps in Government/ Insurance companies identifying the farmers not covered under Insurance.
• Need not require any information about notified crops▫ All are part of the software
• Connects to Aadhar▫ To ensure that that fake enrolment does not take place in the
name of farmer
Contd...
• Bank can verify the application submitted by applicant /bank itself and approve for insurance enrolment.
• SMS to farmers on updating him on various stages ofInsurance
• IU wise crop wise reports are available the Agriculture &Horticulture Departmental officers to verify the data▫ Mobile made available to confirm the data
▫ This check helps in minimising the application of Area ReductionFactor
Crop Cutting Experiments
• Connects to Bhoomi data for randomising the survey nos.
• Details of Crop Cutting Experiment captured with in the system▫ District level officers can check the status
• All the details of primary workers are also stored in the database.
• System know the jurisdiction of each and every worker▫ Therefore re assigning of experiments minimised
Contd...
• Generation of Experiments is very fast
• Schedules of experiments are SMS to theprimary workers▫ No need to have track of the dates of experiments
• All crop cutting experiments are capturedthough mobile phones.▫ Data pushed instantaneously to the server along
with photos, videos, GPS coordinates
Claim Settlement System
• CCE done using mobile devices
• The yield data is pushed instantaneously on to the server.
• Insurance Unit (IU) wise data would be populated.
• The software will then automatically calculate the payouts IU wise.
Contd...
• The data entry of term sheets
• Connects to weather database of Karnataka StateNatural Disaster Management Centre (KSNDMC)▫ 6000 Rain gauge stations▫ 800 Automated Weather stations
• Payouts are calculated based on the triggersindicated in the term sheets
• After completion of every phase farmer can knowthe payouts
MIS Report Generation
• The reports can be generated on the fly.▫ In the manual system it use to take months for just
compiling the reports
• Reports under Crop Insurance ▫ Farmers covered under district wise, bank branch wise,
crop wise, etc
• Reports under CCE▫ No of CCE scheduled week wise, No of CCE completed
along with yield and GPS.▫ Each Primary worker can be tracked with the help of the
MIS Which was impossible in the manual system
Crop Insurance
• Convincing the Administration in mandating the use of IT system
• Mapping the Gram Panchayat and Revenue Villages.
• Educating the banks in using the software.
• Training the bank officials.▫ 9000 bank branches
• Collection of Brank wise – branch wise Kisan Credit Card details
Contd...
• On a same survey no multiple crop loans are sanctioned bydifferent banks.
• Co-Operative scale of finance – very less but cover full extentof the survey no.
• Convincing the Co-operative Societies for covering the loaneefarmers▫ Many societies passed resolution not to cover
• The IT system follow the First Come First principle i.e thebank which enters first will be enrolled.▫ Banks are requesting to allow all the loan accounts on the survey
no and based on the loan sanctioned date enrolment should bedone.
Crop Cutting Experiment
• Mobilising the mobile devices
• Training 14000 primary workers
▫ On use of new technology
• Monitoring all the primary workers
▫ On a daily basis
▫ To ensure that the CCEs are not lapsed