Skymet - Agribusiness Risk Mitigation

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

3

3000+ AWS Locations

15 States

Head Office: Noida

Regional Office(S) : ( Jaipur, Mumbai)

Weather forecasting & monitoring

Crop monitoring / Loss Assessment

Agri Credit Risk Management

Crop Risk Solutions(Weather Index based Insurance)

Agriculture risk management

SERVICES OFFERED

KEY CLIENTS

Mitigating Weather Risk

Weather Forecast

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

SAMPLE SCREENSHOT

SAMPLE SCREENSHOT

SAMPLE SCREENSHOT

SHORT RANGE FORECAST - SAMPLE SCREENSHOTDistrict Level-Temp, RH, Rainfall

Sample Report

(Weather Alert)

GIS & UAV (Drones) Based

Crop - Acreage / Health Monitoring &

Yield Forecasting

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)

ACERAGE – PUNJAB DISTRICT WISE PADDY

District wise Paddy acreage

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%

UAV Based Crop Monitoring

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

UAV IMAGES – 150M

UAV IMAGES – 75M

UAV IMAGES – 50M

Groundnut

Cotton

Monitoring Gram Churu – Rajasthan (Rabi 2014-15)

Cadstral Map Churu – Rajasthan

Monitoring Gram – Remote Sensing Churu – Rajasthan (Rabi 2014-15)

Monitoring Gram - UAV Churu – Rajasthan (Rabi 2014-15)

Monitoring Gram - UAV Churu – Rajasthan (Rabi 2014-15)

Monitoring Gram Churu – Rajasthan (Rabi 2014-15)

Monitoring Gram Churu – Rajasthan (Rabi 2014-15)

Monitoring Gram Churu – Rajasthan (Rabi 2014-15)

WEB PORTAL | UAV BASED FARM MONITORING

FINAL CROP ESTIMATE – CROP CUTTING EXPERIMENTS

Skymet provides Acreage & Final yield estimation

(95% accuracy)

Agri Credit Risk Management

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

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

Cotton Crop Survey – Online monitoringGPS survey

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

Cotton CCE in Progress…..

Crop Risk Management

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

PRODUCT CUSTOMIZATION (PEPSICO) – POTATO (PATIALA)

Earlier Product Modified Product

TRANSPARENCY – INFORMATION & PAYOUTS

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

Mitigating Crop Risk

Real Time Crop Advisory

Real Time Crop Advisory

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 Forecasting Model

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

THANK YOU FOR YOUR TIMEAND CONSIDERATION