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Presentation by Clayton Samuels April 28, 2014

Online Agricultural Investment Opportunity Map


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.

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 CONTINUED

Application is intuitive, web accessible, and enables Users to export presentationready visualizations, maps, and data.

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 map where 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.


SATELLITE OVERVIEW OF NORTHERN GHANA LEVERAGE SATELLITE IMAGERY Satellite 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


PHYSICAL LOCATION OF AGRICULTURAL INFRASTRUCTURE EXISTING INFRASTRUCTURE

Geo-coded agricultural infrastructure grouped by similar location Select individual infrastructure markers to populate map


DETAILED INFRASTRUCTURE INFORMATION INFRASTRUCTURE MARKERS

Detailed information on infrastructure available by clicking on individual markers


DISTRICT ZOOM CAPABILITY DISTRICT INFORMATION PANEL

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

DISTRICT / REGION NAME

CROP GROWTH RATES FORECAST MODULE

FORECASTED PRODUCTION

INFRASTRUCTURE DETAILS


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 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 Userdefined region


DISTRICT INFORMATION PANEL DETAILS METRICS AT DISTRICT LEVEL CLOSE SIDE PANEL DISTRICT / REGION NAME DRAG TO FORECAST PRODUCTION AND AREA UNDER PRODUCTION IN SELECTED DISTRICT / REGION OUT TO ANY YEAR BETWEEN 2013 AND 2022.

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: 1.

FORECAST IS LINEAR TREND

2.

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

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

FORECASTED VALUES FOR THE CHOSEN COMMODITY ARE DOTTED LINES

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

NOTES:

EXAMPLE:

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

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

1.FORECASTED YIELD = (FORECASTED_PRODUCTION / FORECASTED_AREA_UNDER_PRODUCTION)

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.) TRACTORS IS

IN THIS EXAMPLE, THE 2013 INVENTORY FOR PROJECTED TO BE 6 LESS THAN 2012 BECAUSE OF

THE LINEAR FORECASTED PRODUCTION ABOVE 3.) IF THE FORECASTED INFRASTRUCTURE COUNT IS GREATER THAN THE 2012 INVENTORY NUMBER, THEN A NEW INFRASTRUCTURE SITE WILL POP UP ON THE MAP, ACCORDING TO THE ALGORITHM EXPLAINED BELOW.


FORECASTING PRODUCTION DISTRICT INFORMATION PANEL 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

FORECASTED WAREHOUSE


FORECASTING FUTURE INFRASTRUCTURE INFRASTRUCTURE RATIOS

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

COMMODITY MAIZE RICE SOY ALL

WAREHOUSE 4,260.7 2,453.2 1,245.0 7,364.9

TRACTORS 2013 3,284.7 2,701.2 4,164.3 10,150.1

PROCESSING FACILITY 16,904.2 18,288.1 1,096.0 28,534.7

FINANCIAL INSTITUTION 9,725.9 5,591.2 1,311.0 15,544.5


THANK YOU

Be sure to add your suggestions to improve functionality by stopping by our ongoing presentation:

MEETING ROOM IV 2:30PM http://fingap.nautilytics.com/

14 04 29 1300 nautilytics agribusiness investment summit presentation  
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