14 04 29 1300 nautilytics agribusiness investment summit presentation
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Presentation by Clayton SamuelsApril 28, 2014
Online Agricultural Investment Opportunity Map
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.
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
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
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
DETAILED INFRASTRUCTURE INFORMATION
INFRASTRUCTURE MARKERS
Detailed information on infrastructure available by clicking on individual markersDetailed 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 informationZoom 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 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
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.
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
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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