Postharvest loss prevention ict and innovation in measurement
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Postharvest Loss Prevention, ICT, and Innovation in Measurement. Steve Sonka, Director May 21, 2013. AGENDA. Future food security challenges Several “views” of postharvest loss The ADM Institute Themes Sustainable prevention of postharvest loss Innovation in measurement.

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Postharvest loss prevention ict and innovation in measurement

Postharvest Loss Prevention, ICT, and Innovation in Measurement

Steve Sonka, Director

May 21, 2013


Agenda

AGENDA

  • Future food security challenges

  • Several “views” of postharvest loss

  • The ADM Institute

    • Themes

    • Sustainable prevention of postharvest loss

    • Innovation in measurement


Global food demand is predicted to increase 70 by 2050 fao 2009

Global Food Demand Is Predicted to Increase 70% by 2050 (FAO; 2009)

Per capita food consumption


Global crop demand is estimated to double from 2005 to 2050 nas 2011

Global Crop Demand Is Estimated to Double From 2005 to 2050 (NAS; 2011)


2030 food demands require about 200 million more hectares mckinsey 2011

2030 Food Demands Require About 200 Million More Hectares (McKinsey; 2011)


Commodity price changes tell interesting story mckinsey 2011

Commodity Price Changes Tell Interesting Story (McKinsey; 2011)


Agenda1

AGENDA

  • Future food security challenges

  • Several “views” of postharvest loss

  • The ADM Institute

    • Themes

    • Sustainable prevention of postharvest loss

    • Innovation in measurement

X


Phl varies by region fao 2011

PHL Varies by Region (FAO; 2011)

DATA!

Per capita food waste and food loss (Kg/year)

Kg

per

year


Phl varies by commodity fao 2011

PHL Varies by Commodity (FAO; 2011)


Phl varies across growing conditions ibrd wb 2011

PHL Varies Across Growing Conditions(IBRD/WB; 2011)


Phl varies between countries for same crop fao 2002

PHL Varies Between Countries:For Same Crop (FAO; 2002)


Phl varies between states within one country adm institute 2012

PHL Varies Between States Within One Country (ADM Institute; 2012)


A more specific perspective rice in se asia irri 2011

A More Specific Perspective:Rice in SE Asia (IRRI; 2011)

In SE Asia, physical losses range from 15-25%.

Quality losses range from 10-30% (loss in value)

Crop

Consumption


Reducing phl and increasing yields have high potential mckinsey 2011

Reducing PHL and Increasing YieldsHave High Potential (McKinsey; 2011)


Little attention is devoted to phl and yields mckinsey 2011

Little Attention Is Devoted to PHL and Yields (McKinsey; 2011)


Why reduce postharvest loss some hypotheses

Why Reduce Postharvest Loss?Some Hypotheses

  • Estimates suggest 1/3 of agricultural production is “wasted” and doesn’t reach food consumer

  • Investment required to reduce PHL could be modest

  • Technology advances should make reduction more feasible and less expensive

  • Arable land, water, energy are in limited supply – reducing PHL can lessen pressure on scarce resources


Agenda2

AGENDA

  • Future food security challenges

  • Several “views” of postharvest loss

  • The ADM Institute

    • Themes

    • Sustainable prevention of postharvest loss

    • Innovation in measurement

X

X


Timeline of the adm institute

Timeline of the ADM Institute

2011

  • Official Announcement

    • $10 million gift

    • India/Brazil emphasis

    • Staple crops


The adm institute

The ADM Institute

  • Vision Statement

  • Key elements include:

  • To be an international information and technology hub

  • To encompass technologies, practices and systems

  • To focus on staple crops in key agricultural domains


Timeline of the adm institute1

Timeline of the ADM Institute

2011

2012

  • Official Announcement

    • $10 million gift

    • India/Brazil emphasis

    • Staple crops

  • Awareness & Collaboration

    • $2.5 million in funding allocated


Four themes

Four Themes


Scientific animations without borders sawbo

Scientific Animations Without Borders (SAWBO)

  • Uses animations to disseminate information, particularly for low-literate populations

    • Images and audio to make information easily understood

    • Dissemination and access through internet, cell phones and tablets


Timeline of the adm institute2

Timeline of the ADM Institute

2011

2012

  • Official Announcement

    • $10 million gift

    • India/Brazil emphasis

    • Staple crops

  • Awareness & Collaboration

    • $2.5 million in funding allocated

2013

Sustainable Prevention of Postharvest Loss


Sustainable prevention of postharvest loss

Sustainable Prevention of Postharvest Loss


Sustainable prevention of postharvest loss1

Sustainable Prevention of Postharvest Loss

Cost of Reduction

Value

$s

S

1/3rd of

production

is lost

D

Unsustainable Gap

Reduced

Loss

(%)

Current

Setting

100 %

Reduction


Sustainable prevention of postharvest loss2

Sustainable Prevention of Postharvest Loss

Cost of Reduction

Value

$s

S

S1

Measurement

!!!!!

D1

Enhanced Quality

D

Sustainable

Gain

Reduced

Loss

(%)

Current

Setting

100 %

Reduction


Measurement

Measurement

“Another priority in the poorest countries must be to reduce the tragic waste of losses after harvest from inadequate storage, transportation and pest control.”

“.. we urge …a goal of cutting in half these post harvest losses by 1985”

Henry Kissinger. 7th special session of the U.N. General Assembly. September 1, 1975

Adopted as a resolution of the U.N. General Assembly. September 19, 1975

“What's measured improves”

– Peter F. Drucker

"Measurement is the first step that leads to control and eventually to improvement. If you can't measure something, you can't understand it. If you can't understand it, you can't control it. If you can't control it, you can't improve it."

– H. James Harrington

"What gets measured gets done, what gets measured and fed back gets done well, what gets rewarded gets repeated.“

– John E. Jones


Innovation in measurement

Innovation in Measurement

Whatto Measure

  • Actual loss in specific local settings

  • Interventions to reduce loss

  • Effectiveness of interventions over time

Howto Measure

  • Low cost

  • Systemic

  • ICT enabled but probably for non PHL reasons


Practice to date

“Practice” to Date

  • Identify problem

  • Quantify (measure/estimate) losses

  • Identify causes

  • Propose technical solutions

  • Fund project to implement solutions

Move to next project


Systems as events patterns structure

Systems as Events/Patterns/Structure

Patterns

Structure

The visible outcomes

Events

Changes over time

Determines patterns


Knowledge creating systems

Knowledge-Creating Systems

Tacit

Explicit

Documentation

Observation

Tacit

Analysis

Implementation

Explicit


Exploit the most versatile sensor

Exploit the Most Versatile Sensor


Phone penetration statistics

Phone Penetration Statistics

6.7 Billion mobile phones world-wide at the end of 2012

India in 2012

  • 925 million mobile phone subscribers

  • 75% of the population

  • #2 Global Market (after China)

    Brazil in 2012

  • 259 million mobile phone subscribers

  • 130% of the population

  • #5 Global Market (after China, India, US, and Indonesia)

    Nigeria in 2012

  • 107 million mobile phone subscribers

  • 65% of the population

  • #10 Global Market

Just under half of the population in India (i.e., more than 500 million people) use text messages on a regular basis


Tweets on price of rice un global pulse and crime hexagon 2011

Tweets on Price of Rice (UN Global Pulse and Crime Hexagon; 2011)


Price of bread in uruguay un global pulse and pricestats 2011

Price of Bread in Uruguay (UN Global Pulse and PriceStats, 2011)


Example looking to re fuel after sandy

Example: Looking to Re-fuel after Sandy


Address source dependency

Address Source Dependency

Social network helps !

Unconfirmed tweets

Finding Gas in NYC after Hurricane Sandy


Community knowledge worker grameen foundation 2010

Community Knowledge Worker (Grameen Foundation, 2010)

  • Grameen Foundation is implementing an information network, Community Knowledge Worker (CKW), in Uganda, using mobile technology to delivery information to and from farmers.

  • CKW: an ICT enabled agricultural extension worker

  • Information to farmers:

    • Market price: 42 commodities in 20 districts

    • Weather information: Up to 3 days in advance

    • Farming best practices

    • Supplier directory

    • Market platform: link buyers and sellers

  • Mobile survey-based collection of farm data

    • Raw data

    • Analyses

    • GIS data


Irri s approach on measurement

IRRI’s Approach on Measurement

For sound medium and long term

planning, what do we need to know?

  • Location specific, timely and accurate information on rice production, supplies, and trends

  • In particular:

    • What is the harvested area?

    • When will it be harvested?

    • What is the yield?

A combination of remote sensing and crop yield modeling can provide this information under certain conditions


Postharvest loss prevention ict and innovation in measurement

Optical

Radar


Concept of riice riice 2011

Concept of RIICE (RIICE; 2011)


Global rice monitoring and forecasting system radar based real time crop monitoring system for rice

Global rice monitoring and forecasting system:Radar-based real time crop monitoring system for rice

Color shows crop establishment

cyanlate Dec to early Jan

bluemid-Jan

red&greenstill under land preparation in mid-Jan

  • planting dates

  • rice area estimates

  • crop status & yield estimates

  • crop damage estimates

  • crop insurance

Sentinel 1A & B satellites

Global coverage every

6 days 20-m resolution

Free


Open data

Open Data

Definition

“Open data is often referred to as the concept that information should be freely available to the public, without restriction or charge for its use by others. In the food and agricultural realm, open data is an essential piece of finding the answers we’ll need to feed the world.” (USDA, 2013)

Actions

  • Launched The Food, Agriculture, and Rural “data community” on Data.gov

  • The Millennium Challenge Corporation released an open evaluation data catalog

  • Launched USAID.gov/Developer


Closing comments

Closing Comments

  • Society’s future food security – daunting but done before

  • Sustainable prevention of postharvest loss has potential to contribute to the challenge

  • Substantial progress unlikely without innovation in measurement

    • Low cost

    • Systemic

    • ICT enabled


Email ssonka@illinois edu website http postharvestinstitute illinois edu

Email: [email protected]: http://postharvestinstitute.illinois.edu


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