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Skymet Weather Services Pvt. Ltd.India’s leading weather forecasting & Agriculture
Risk Solutions Company
Innovative Risk Mitigation Solutions for Agribusiness Sector
ABOUT SKYMET
Captive network of 3000+ Automated Weather Stations (AWS)
Expertise in Crop yield forecasting & Risk Management
In house Crop monitoring & yield modeling team
In house Remote Sensing & GIS expertise
Strong network of 160+ field staff in all major states
India’s leading Weather forecasting & Agri risk solutions company
Weather forecasting & monitoring
Crop monitoring / Loss Assessment
Agri Credit Risk Management
Crop Risk Solutions(Weather Index based Insurance)
Agriculture risk management
SERVICES OFFERED
Weather forecast & Monitoring
Long Term Weather Forecast – 3/4 months ahead
Medium Term Forecast – 30 days ahead
Short Term Forecast – 7 days ahead
Weather Alerts – 24/72 Hrs ahead
Live Weather Data – Hourly Live
Paddy Crop Sowing Status till mid June Paddy Crop Sowing Status till 1st week of July
Paddy Crop Sowing Status till End of July
Crop Sowing
Status end of Season
CROP ACREAGE STATUS – PUNJAB PADDY (Kharif’2013)
PLANTATION (Palm / Eucalyptus etc) ACREAGE
Chagallu Mandal – West Godavari (AP) - 2014
Total Palm Acreage in Mandal – 523 Ha
PALM PLANTATION ACREAGE / AGE STATUS (East Godavari- AP)
2011 2012
2013
Growth monitoring of Palm planation using Remote sensing
ADVANTAGES - REMOTE SENSING BASED MONITORING
Large areas can be monitored in a cost effective way
Identification of Plantation types
Age of the plantations can be determined
Health of the plantations based on NDVI index can be monitored
NDVI based biomass yield can be calculated (with sample field validations)
Remote sensing along with ground validation can increase accuracy levels > 90%
UNMANNED AERIAL VEHICLE (UAV)
Completely automatic & remote controlled
Ability to reach maximum of 400m from ground
Area captured in one flight - 4 sq Km
Ability to fly continuously for 1.5 Hrs
Images captured in Visible region & IR (Infra Red) spectrum
Provides Geo referenced images
Quad Copter
Fixed Wing
FINAL CROP ESTIMATE – CROP CUTTING EXPERIMENTS
Skymet provides Acreage & Final yield estimation
(95% accuracy)
AGRI FINANCING & CREDIT RISK
Agri credit risk for different crops in different geographies (state /districts)
Classification under - High, Medium & Low Risk Zones
Risk indexing based on undermentioned major parameters
i. Weather & Monsoon forecast
ii. Cropping Intensity
iii. Irrigated area & sources of irrigation
iv. Land holding pattern
v. Crop risk
vi. Cost of cultivation and revenue
Bikaner October
Crop / Week 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
Normal Phasewise water
requirement (mm)
Actual (through rainfall)
mm
% deviation
Normal Phasewise water
requirement (mm)
Actual (through rainfall)
mm
% deviation
Weekly Total Rainfall (mm) 17.5 8.4 15.3 13.9 25.5 35.4 25.3 12.3 14.1 18.7 18.1 16.1 12.6 4.3 5.8 9.2 2.2
Weekly Max Temp
(degree C) 41.9 41.6 40.9 40.0 39.8 38.2 38.4 37.7 37.1 37.1 36.2 36.5 37.0 36.6 36.3 37.4 37.5 38.0
Weekly Min Temp
(degree C) 26.1 26.4 26.6 26.5 26.4 25.8 25.9 25.6 25.3 25.1 24.6 24.6 24.4 23.8 23.2 22.9 21.8 21.1
Sunshine Hours 8.2 8.4 7.9 7.5 7.8 6.6 7.6 7.4 7.3 8 8.8 8.9 9.5 10.2 9.9 9.6 9.6
-86 -71
-66 -16 -50 -75 -72
11.4
GROUNDNUT - Life
History and mean dates
of important epochs of
crop growt
53.6 86.5 135 89.2 41.2
7318.23 67 22.7 11.4
-70 -41 -71
BAJRA - Life History and
mean dates of important
epochs of crop growth
18.23 105.8 46.8 10.1
June July August September
61.6 178.2 160.5 72.1 39.2
Sowing
Germination
Vegetative Growth
Flowering
Grain Formation
Harvesting
Sowing
Germination
Vegetative Growth
Flowering & Pegging
Pod Formation
Harvesting
Crop Risk Indexing - example
CROP MONITORING
Weather forecasting Long Term – Strategic level Medium Range – Tactical level Short Range – Operational level
Crop acreage estimation – Remote Sensing & UAV (Unmanned Aerial Vehicle)
Weather monitoring – effect of weather on target crops
Crop stage – from sowing till harvesting (biotic & abiotic stress)
Crop yield forecasting – Survey & CCE based (Crop Cutting Experiments)
Monitoring Cotton Crop from Sowing till Harvesting
Sowing is marginally up this year in comparison to last year, Crop is in boll formation stage to boll maturity stage. Looking at the current crop condition crop is normal. There is attack of sucking pest, white fly and thrips in some pockets. Expected Production is estimated to be 10-15% more then last year
CUSTOMISED CROP RISK MANAGEMENT
Drawbacks:
• Inadequate product
• Cryptic payout calculations
• Opaque payouts
• Mistrust on insurance
Benefits:
• Customized product
• Transparent payout calculations
• Equitable payouts
• Trust build-up on insurance
EXISTING PROPOSEDWeather Based Crop Insurance
Crop Risk Management
Particular Features
Customized Crop Insurance
Weather based customized crop insurance products
Transparent Payout calculations
Access to live weather data
Equitable payout
Weather Derivative based Crop Insurance
Companies having direct interest in agriculture
Companies pay out premium and payouts are paid directly to company
Seed companies involved in contract farming / seed production programs
Past Experience of Skymet
S.N0. Client State District Crop
1 Retail Haryana Bhiwani, Sirsa, Fatehabad Paddy
2 Retail Madhya Pradesh Harda Wheat
3 Retail Bihar Gaya, Aurangabad, Bhagalpur Wheat
4 Retail Rajasthan Baran, Jaipur Wheat
5 Retail Maharashtra Jalgaon Cotton
6 PepsiCo Punjab Pune, Satara Potato
7 PepsiCo Maharashtra Pune, Satara Potato
8 Axis bank Madhya Pradesh Khandwa Soybean
9 Monsanto Andhra Pradesh Khammam Corn
Current Weather & Forecast
Actual ConditionTemp-43 0 C ; RH-20%
No Rain / Moisture stress
Crop Advisory
1) Drain water from nursery and fill fresh water on daily basis
2) Delay Transplanting by -7 days
GIS image
Paddy (Pusa Basmati 1121)
Real Time Crop Advisory
Farmers RetailersDealers
Sales EmployeeMarketing personDistribution person Seed Production
BENEFITS
Farmers
Scheduling crop specific agronomic practices based on weather / forecast
Scheduling Fertilizer and herbicide application
Harvesting & Post harvest management advisories
Strengthening brand equity thru realistic advisories
PEST FORECAST MODEL
The model combines three parameters of the disease triangle:
Crop (host)
Pathogen (present at field)
Environment (monitored by Automated Weather Station)
• Hourly observations
• Specific geographies
Environment
• GIS or UAV mapping
• Crop diagnostic
Crop stage• Pest and disease
infestation alert
• Real time basis
Pest/Disease
BROWN PLANT HOPPER – PADDY
Brown Plant Hopper (BPH)
BPH Life Cycle
Eggs Hatchability highest at 25°CBPH Population Max 28-30°CRH >70High Nitrogen levels
Paddy
Monitor using AWS
Crop stage information
• Weather forecast (7 days locational weather data)
• Disease alert (7 days alert)
• To do list (Plan calendar for management)
• Ask an expert (Take field photo & share with expert)
Real Time Crop Advisory through Mobile phone
• Weather forecasting
Data includes:1. Hourly data of temperature2. Hourly %RH3. Wind speed4. Rain chance %
Disease alert (7 days alert based on forecast
and updated on real time basis based on AWS data)
Location wise weekly disease alert and its intensity
Ask an expert (Take field photo & share with expert)
• Photos can be uploaded & internally sent to expert for remedies.
• Immediate data sharing & acting on the remedies are key initiative for LB management
RISK MITIGATION POINTERS
1. Weather Risk – long, medium & short range weather forecast
2. Accurate information on Increase / decrease of crop acreage in geography
3. Agri Credit Risk Management
4. Farmer Crop Risk Management – area specific crop Insurance products
5. Realistic crop advisories to the farmers based on crop stages and weather conditions
6. Pest Forecasting tools