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Next generation technologies
to drive transformation
Dr. Ana MarĂ­a Loboguerrero
Head of Global Policy Research
HELPING SET GLOBAL AGENDAS
Pensando mås allå del mañana
5. Smarter consumption
patterns
1. Next generation technologies to
drive transformation
2. Differentiated adaptation and
development pathways
3. Policy enabling environments
that facilitate the transition
4. Aligning finance to drive the
transformation
CCAFS Donors
Alberto Millan CCAFS
Sonja Vermuelen WWF
Phillip Thornton CCAFS
Lindsay Stringer University of
Leeds
Tonya Rawe
CARE
BUSINESS UNUSUAL: DRIVING INNOVATION TO
ACHIEVE TRANSFORMATION AT SCALE
BUSINESS UNUSUAL: DRIVING INNOVATION TO ACHIEVE
TRANSFORMATION AT SCALE
Other big
challenges like
poverty
reduction, inequality
and emissions
reductions need to
be resolved
simultaneously.
Food systems must
also provide food of
high nutritional
quality and diversity
to support human
health.
The scale of the
food production
challenge: up to a
70% increase in
food availability by
the 2050s.
Additional
constraint of
ensuring that key
environmental
planetary
boundaries are not
exceeded in the
process.
To date, most
assessments of the
future of agriculture
and food have
focused on
examining
incremental
technologies and
investments.
CURRENT SITUATION
2017 there were 960
million mobile
subscriptions across
Africa,
with 80% penetration
Communications and banking
systems have been transformed
Technological change can
generate:
1. Very rapid sea changes
in social and cultural
systems
2. Transformation in
agriculture and food
systems
Current agricultural
technology options will not
be able to feed 9 billion
people and reach the
sustainable development
goals simultaneously
Mobile telephony in Africa 
To date, most assessments of the future of
agriculture and food have focused on examining
incremental technologies and investments.
2005 cell
phone penetration in
developing
countries was 23%
BLUE-SKY TECHNOLOGIES
FOOD SYSTEM DIMENSION
(e.g. production, process, storage)
STAGE OF DEVELOPMENT PATHWAYS
‱ Pathways that target reducing the
food production demand curve
‱ Pathways that target filling the
production gap
‱ Pathways that involve avoiding
losses in current or future
production potential
Time horizon  around 20 years.
LOOKING AT CHANGE TO 2040
Focus: Technologies in relation to the elements of the food system and
in relation to the SDGs that are affected by agriculture.
Transforming global food systems: Blue Sky Technologies
≈ 80 technologies found
classified in 3 dimensions
Impact
on
SDGs
Artificial
Products
Robotics in
agriculture
Drones
Artificial
intelligence
Biofortified
crops
Genetic
modification
assisted
domestication of
new crops
Vertical
agriculture
Biologicals
replacing artificial
inputs
Molecular
printing
Others

IMPLEMENTATION
Technology Primary Benefits and/or consequences Barriers to adoption Indirect consequences
Artificial products
Can potentially reduce negative impacts (e.g.
environmental) of production of these products.
E.g. Milk - Potential substitute to cow milk,
potential to be vegan friendly, no welfare issue,
potentially cheap with smaller land-use and GHG
impact.
Scaling-up to meet demand, and higher
cost than the products they are
replacing.
Loss of livelihood for those who
produce the product in a conventional
way
High energy requirements
Biofortified crops
Products with more desirable traits.
Given the dominant role cereals play in most
human diets, cereal traits and germplasm with
improved nutritive and health -promoting
attributes in cereal products that specifically target
these largely avoidable dietary- and lifestyle-
related diseases.
Better health and greater benefits for farmers.
Cost and time to develop biofortified
crops - Taylor and Duodu 2017, but
once developed they can represent a
"drop-in technology" as there is often
little or no impact on end-product
functionality.
Overdependence on particular
varieties
Examples of technologies and their effects
Technology Primary Benefits and/or consequences Barriers to adoption Indirect consequences
Robotics in agriculture
Robotics enable “smart” agriculture that
increases yields and reduces waste of water and
fertilizer. - Christensen et al. 2016
Enables farms to automate activities that were
previously the sole domain of humans (e.g. soft
grasp) or involved a significant amount of human
activity (e.g. to load/unload payloads)
Expense, establishment of new farming
systems
Regulation for autonomous machines in
fields
Factors limiting commercialization
and assimilation of agricultural
autonomous robot systems are unique
to each system and to
each task.
Loss of cultural/spiritual connection to
ag systems/natural environment; loss
of jobs/identify for people
in some systems.
Replacement food / feed
source – Insects
Potential to reduce negative environmental
impacts of current farming e.g. reduced GHG
emissions by minimizing the livestock sector
Consumer acceptance; development of
new market; commercialization
Impacts (e.g. environmental) of new
farming system
Examples of technologies and their effects
If we are serious about reaching the SDGs, then paradigm shifts
are necessary, including development and application of next
generation technologies.
There are many examples of potential technologies that may
have transformational (even disruptive) effects over the next 20
years.
Some of these next generation technologies include: artificial
meat, nitrogen fixation in cereals, reconfiguring plant
photosynthesis, asexual reproduction, replacement protein
sources, among others

In the next two decades, many of these technologies will pass
from the realm of science fiction into reality.
For some of these technologies, there are profound socio-
cultural and governance issues associated with them that
society will have to grapple with.
KEY MESSAGES
THANK YOU
a.m.loboguerrero@cigar.org

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Technology Advantage Transformation Initiative - Ana Maria Loboguerrero CGIAR Research Program on Climate Change, Agriculture and Food Security

  • 1.
  • 2. Next generation technologies to drive transformation Dr. Ana MarĂ­a Loboguerrero Head of Global Policy Research
  • 4. Pensando mĂĄs allĂĄ del mañana 5. Smarter consumption patterns 1. Next generation technologies to drive transformation 2. Differentiated adaptation and development pathways 3. Policy enabling environments that facilitate the transition 4. Aligning finance to drive the transformation CCAFS Donors Alberto Millan CCAFS Sonja Vermuelen WWF Phillip Thornton CCAFS Lindsay Stringer University of Leeds Tonya Rawe CARE BUSINESS UNUSUAL: DRIVING INNOVATION TO ACHIEVE TRANSFORMATION AT SCALE BUSINESS UNUSUAL: DRIVING INNOVATION TO ACHIEVE TRANSFORMATION AT SCALE
  • 5. Other big challenges like poverty reduction, inequality and emissions reductions need to be resolved simultaneously. Food systems must also provide food of high nutritional quality and diversity to support human health. The scale of the food production challenge: up to a 70% increase in food availability by the 2050s. Additional constraint of ensuring that key environmental planetary boundaries are not exceeded in the process. To date, most assessments of the future of agriculture and food have focused on examining incremental technologies and investments. CURRENT SITUATION
  • 6. 2017 there were 960 million mobile subscriptions across Africa, with 80% penetration Communications and banking systems have been transformed Technological change can generate: 1. Very rapid sea changes in social and cultural systems 2. Transformation in agriculture and food systems Current agricultural technology options will not be able to feed 9 billion people and reach the sustainable development goals simultaneously Mobile telephony in Africa  To date, most assessments of the future of agriculture and food have focused on examining incremental technologies and investments. 2005 cell phone penetration in developing countries was 23% BLUE-SKY TECHNOLOGIES
  • 7. FOOD SYSTEM DIMENSION (e.g. production, process, storage) STAGE OF DEVELOPMENT PATHWAYS ‱ Pathways that target reducing the food production demand curve ‱ Pathways that target filling the production gap ‱ Pathways that involve avoiding losses in current or future production potential Time horizon  around 20 years. LOOKING AT CHANGE TO 2040 Focus: Technologies in relation to the elements of the food system and in relation to the SDGs that are affected by agriculture. Transforming global food systems: Blue Sky Technologies ≈ 80 technologies found classified in 3 dimensions
  • 8. Impact on SDGs Artificial Products Robotics in agriculture Drones Artificial intelligence Biofortified crops Genetic modification assisted domestication of new crops Vertical agriculture Biologicals replacing artificial inputs Molecular printing Others
 IMPLEMENTATION
  • 9. Technology Primary Benefits and/or consequences Barriers to adoption Indirect consequences Artificial products Can potentially reduce negative impacts (e.g. environmental) of production of these products. E.g. Milk - Potential substitute to cow milk, potential to be vegan friendly, no welfare issue, potentially cheap with smaller land-use and GHG impact. Scaling-up to meet demand, and higher cost than the products they are replacing. Loss of livelihood for those who produce the product in a conventional way High energy requirements Biofortified crops Products with more desirable traits. Given the dominant role cereals play in most human diets, cereal traits and germplasm with improved nutritive and health -promoting attributes in cereal products that specifically target these largely avoidable dietary- and lifestyle- related diseases. Better health and greater benefits for farmers. Cost and time to develop biofortified crops - Taylor and Duodu 2017, but once developed they can represent a "drop-in technology" as there is often little or no impact on end-product functionality. Overdependence on particular varieties Examples of technologies and their effects
  • 10. Technology Primary Benefits and/or consequences Barriers to adoption Indirect consequences Robotics in agriculture Robotics enable “smart” agriculture that increases yields and reduces waste of water and fertilizer. - Christensen et al. 2016 Enables farms to automate activities that were previously the sole domain of humans (e.g. soft grasp) or involved a significant amount of human activity (e.g. to load/unload payloads) Expense, establishment of new farming systems Regulation for autonomous machines in fields Factors limiting commercialization and assimilation of agricultural autonomous robot systems are unique to each system and to each task. Loss of cultural/spiritual connection to ag systems/natural environment; loss of jobs/identify for people in some systems. Replacement food / feed source – Insects Potential to reduce negative environmental impacts of current farming e.g. reduced GHG emissions by minimizing the livestock sector Consumer acceptance; development of new market; commercialization Impacts (e.g. environmental) of new farming system Examples of technologies and their effects
  • 11. If we are serious about reaching the SDGs, then paradigm shifts are necessary, including development and application of next generation technologies. There are many examples of potential technologies that may have transformational (even disruptive) effects over the next 20 years. Some of these next generation technologies include: artificial meat, nitrogen fixation in cereals, reconfiguring plant photosynthesis, asexual reproduction, replacement protein sources, among others
 In the next two decades, many of these technologies will pass from the realm of science fiction into reality. For some of these technologies, there are profound socio- cultural and governance issues associated with them that society will have to grapple with. KEY MESSAGES

Hinweis der Redaktion

  1. While the above elements represent immediate priorities for a comprehensive action plan, this will need to be complemented by beyond ‘business as usual’ actions to successfully result in a transformation. We have identified 5 key areas that need to advance within the next decade, which have the potential to redefine the way the food systems function.