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Presentation by Clayton Samuels April 28, 2014 Online Agricultural Investment Opportunity Map

14 04 29 1300 nautilytics agribusiness investment summit presentation

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Page 1: 14 04 29 1300 nautilytics agribusiness investment summit presentation

Presentation by Clayton SamuelsApril 28, 2014

Online Agricultural Investment Opportunity Map

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KEY USER-DEFINED FEATURES

Down to the district level, identify current physical location and production volume of maize, rice and soy to target actual and forecasted production volume of each crop.

Adjust key metrics to forecast future production increases to isolate when and where additional infrastructure should be built.

Drill-down to a single farm, warehouse, processing facility, etc. to reveal detailed capacity and contact information.

INTRODUCTION TO ONLINE AGRICULTURAL INVESTMENT OPPORTUNITY MAP

OVERVIEW

Application enables Users to build scenarios demonstrating where new warehouse, processing, logistics and other infrastructure and services will be required as a result of

increased production of maize, rice, and soy in Northern Ghana.

Application enables Users to build scenarios demonstrating where new warehouse, processing, logistics and other infrastructure and services will be required as a result of

increased production of maize, rice, and soy in Northern Ghana.

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KEY TECHNICAL FEATURES

Software is dynamic to reflect individual User assumptions.

When forecasts in production increases the need for new infrastructure, specific markers are populated on the mapwhere the need is predicted.

Crops are color-coded by commodity type (maize: yellow/orange | soy: green | rice: blue) as are infrastructure markers.

Roads are differentiated between both major and minor arteries.

OVERVIEW CONTINUED

Application is intuitive, web accessible, and enables Users to export presentation-ready visualizations, maps, and data.

Application is intuitive, web accessible, and enables Users to export presentation-ready visualizations, maps, and data.

INTRODUCTION TO ONLINE AGRICULTURAL INVESTMENT OPPORTUNITY MAP

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SATELLITE OVERVIEW OF NORTHERN GHANA

LEVERAGE SATELLITE IMAGERY

Satellite overview of Northern Ghana with geospatial overlays of electricity and road networks, rivers, and Lake VoltaSatellite overview of Northern Ghana with geospatial overlays of electricity and road networks, rivers, and Lake Volta

Easily share application with interested parties via social media

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PHYSICAL LOCATION OF AGRICULTURAL INFRASTRUCTURE

EXISTING INFRASTRUCTURE

Geo-coded agricultural infrastructure grouped by similar locationGeo-coded agricultural infrastructure grouped by similar location

Select individual infrastructure markers to populate map

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DETAILED INFRASTRUCTURE INFORMATION

INFRASTRUCTURE MARKERS

Detailed information on infrastructure available by clicking on individual markersDetailed information on infrastructure available by clicking on individual markers

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DISTRICT ZOOM CAPABILITY

DISTRICT INFORMATION PANEL

Zoom into any district in Northern Ghana to view detailed agricultural informationZoom into any district in Northern Ghana to view detailed agricultural information

DISTRICT / REGION NAME

CROP GROWTH RATES

FORECAST MODULE

FORECASTED PRODUCTION

INFRASTRUCTURE DETAILS

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USER-DEFINED “DISTRICT” ZOOM CAPABILITY

DRAW / CREATE ZOOM AREA

Use draw / create feature to define a unique area to analyze within or consisting of overlapping DistrictsUse draw / create feature to define a unique area to analyze within or consisting of overlapping Districts

NAME USER-DEFINED REGION

Users can create unique regions to more accurately capture forecasted infrastructure needs in correlation with movements of farmers who are not constrained by boundaries of official Districts

District Information Panel then provides details specific to User-defined region

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DISTRICT INFORMATION PANEL DETAILS

METRICS AT DISTRICT LEVEL

DISTRICT / REGION NAME

COMPOUND ANNUAL GROWTH RATE (CAGR) OF EACH COMMODITY AND THE AGGREGATE OF THE THREE FROM 2005 TO 2012 (YEARS FOR WHICH THERE ARE DATA).

Notes: (2012_value / 2005_value) (1 /numberOfYears) - 1

CLOSE SIDE PANEL

DRAG TO FORECAST PRODUCTION AND AREA UNDER PRODUCTION IN SELECTED DISTRICT / REGION OUT TO ANY YEAR BETWEEN 2013 AND 2022.

NOTES:

1. FORECAST IS LINEAR TREND

2. ANY FORECAST TYPE IS POSSIBLE IN NEXT VERSION BASED ON FEEDBACK FROM CONFERENCE

FORECASTED VALUES FOR THE CHOSEN COMMODITY ARE DOTTED LINES

NOTES:

1.FORECASTED YIELD = (FORECASTED_PRODUCTION / FORECASTED_AREA_UNDER_PRODUCTION)

2.LARGER “LIGHT BOX” CHARTS PLANNED FOR SUBSEQUENT VERSION

IF A USER ASSUMES PROJECTED PRODUCTION IS TOO HIGH, SLIDER MAY BE USED TO ADJUST DOWN THE LEVEL OF PRODUCTION.

EXAMPLE:

IF THE 2013 VALUE IS 1,000 TONNES YET THE USER ESTIMATES THE PRODUCTION IS BETTER SUITED AT 85% OF THAT NUMBER, MOVING THE SLIDER TO 85% WILL REFLECT USER INPUT PROMPTING THE INFRASTRUCTURE VALUES TO BE RECALCULATED

AS A USER ADJUSTS FORECAST MODULE SLIDER, THE FORECASTED INFRASTRUCTURE INVENTORY WILL INCREASE BASED UPON FOLLOWING RATIOS:

NOTES:

1.) % CHANGE = 1 – (FORECASTED YEAR_INVENTORY/2012_INVENTORY)

2.) IN THIS EXAMPLE, THE 2013 INVENTORY FOR TRACTORS IS

PROJECTED TO BE 6 LESS THAN 2012 BECAUSE OF THE LINEAR

FORECASTED PRODUCTION ABOVE

3.) IF THE FORECASTED INFRASTRUCTURE COUNT IS GREATER THANTHE 2012 INVENTORY NUMBER, THEN A NEW

INFRASTRUCTURE SITEWILL POP UP ON THE MAP, ACCORDING TO THE

ALGORITHM EXPLAINED BELOW.

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FORECASTING PRODUCTION

DISTRICT INFORMATION PANEL

Use Forecast Module to adjust production increases that add new infrastructure to map where need is predicted

Use Forecast Module to adjust production increases that add new infrastructure to map where need is predicted

Optimized warehouse location: • 2KM from major road • 500M from electricity network • Within 25KM of a farm

FORECASTEDWAREHOUSE

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FORECASTING FUTURE INFRASTRUCTURE

INFRASTRUCTURE RATIOS

Production Ratios (in tonnes) for Construction of new infrastructure sitesProduction Ratios (in tonnes) for Construction of new infrastructure sites

PROCESSING FINANCIALFACILITY INSTITUTION

MAIZE 4,260.7 3,284.7 16,904.2 9,725.9

RICE 2,453.2 2,701.2 18,288.1 5,591.2

SOY 1,245.0 4,164.3 1,096.0 1,311.0

ALL 7,364.9 10,150.1 28,534.7 15,544.5

WAREHOUSE TRACTORS 2013COMMODITY

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Be sure to add your suggestions to improve functionality by

stopping by our ongoing presentation:

MEETING ROOM IV

2:30PM

http://fingap.nautilytics.com/

THANK YOU