1. A total of 82 farmers from 2 villages participated in bidding for soil conservation contracts on 70 hectares of land.
2. 34 farmers were awarded contracts to implement soil conservation activities on 25 hectares of land.
3. The average price of the contracts awarded was $171.70 per hectare yearly, with payments made in two installments contingent on performance.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
1. ICR02ShangwaZW1
ICR02NgazimbiZW2
Selection of putative cultivars of Uapaca ICR02BaynesHopeFarmZW3
ICR02GrinokFarmZW4
for fresh fruit and product market ideotypes: Zimbabwe ICR02ChadengaZW6
ICR02ChimaniZW8
Fresh w eight (g) ICR02ChimaniZW9
60 ICR02ChimaniZW10
ICR02ChikwatiZW11
ICR02M apangaZW12
ICR02ChadengaZW7
50 ICR02M ugwisiZW18
ICR02M ugwisiZW20
ICR02ChikumeZW23
40 ICR02ChikumeZW25
ICR02UrandaZW26
ICR02UrandaZW28
30 ICR02UrandaZW29
ICR02UrandaZW30
ICR02Uranda ZW31
20 ICR03NyavaZW32
Shell w eight (g) TSS(% brix) ICR03NyavaZW35
ICR03NyavaZW36
ICR03NyavaZW37
10 ICR03NyavaZW38
6 ICR03NyavaZW39
ICR03NyavaZW41
0 ICR03M afaZW40
ICR03M afaZW42
ICR03M afaZW43
ICR03M afaZW44
ICR03M afaZW47
ICR03M afaZW51
ICR03M afaZW52
ICR03BingaguruZW53
ICR03BingaguruZW54
ICR03BingaguruZW55
ICR03BingaguruZW56
ICR03BingaguruZW57
ICR03BingaguruZW58
ICR03BingaguruZW59
ICR03BingaguruZW60
ICR03BingaguruZW61
Seed w eight (g) Pulp content % ICR03BingaguruZW62
ICR03BingaguruZW63
ICR03BingaguruZW64
ICR03BingaguruZW65
ICR03BingaguruZW66
T1 T2
S
The Science of Scaling Up: An Agroforestry Perspective
Tony Simons, Sileshi Weldesemayat, Zac Tchoundjeu, Jianchu Xu, Meine
van Noordwijk, Beria Leimona, Anne Degrande and Steve Franzel
World Agroforestry Centre (ICRAF)
October 2011
2. The Science of Scaling Up
Science (noun) – to know, knowledge
Scaling up – to bring more benefits to more
people, more quickly and more lastingly
√ Multiplying and disseminating a new maize variety
?? Payment for environmental services
?? Agroecosystems improvement approach
?? Climate Smart Agriculture
3. Google Scholar
Extension - 3,810,000 urls
Dissemination - 992,000 urls
Technology transfer - 522,000 urls
Scaling up - 148,000 urls
Science of scaling up - 15 urls
4. Impact Pathway Paradigm
Development
(application of knowledge)
Research
(building of knowledge)
Time (years)
5. New Impact Pathway Paradigm
Development
(proof of application &
application of knowledge)
Research
(building of knowledge)
Time (years)
6. Scaling up defined
ExpandNet defines scaling up as "deliberate efforts to
increase the impact of health innovations tested in pilot
or experimental projects so as to benefit more people
and to foster policy and program development on a
lasting basis." This definition ishealth professionalsthan when
ExpandNet is a global network of public more specific and
scientists seeking to advancegeneral sense to mean broadening
the term is used in a the practice and science of scaling up
successful health service innovations tested in experimental, pilot and
the impact projects.
demonstration of existing or new practices.
http://www.expandnet.net/PDFs/ExpandNet-WHO%20Nine%20Step%20Guide%20published.pdf
7.
8. Extension, Scaling Up
Research Dimension
Why ??????
What ?????
Where ????
When ???
HOW X
Best Bet, Good Practice, Guideline
9.
10. Why not use Principles for Research in Scaling Up?
1. Problem based (utility, not pure curiousity)
2. Testing a hypothesis, construct, paradigm
3. Systematic/experimental approach
4. Observations (repeated)
5. Independent thinking, deductive reasoning
6. Documented and shared
7. Undergoes critical peer review (credible)
8. Validated, revalidated (robustness)
9. Unplanned serendipity
10.Progressive, building on base of knowledge, zero fraud
11. Case Study on Fodder Trees
Low-protein feed a critical constraint for East Africa’s 2
million dairy farmers
• Milk demand is rising
rapidly
• Smallholders rely on cut
and carry dairy systems
• Commercial dairy meal is
the main protein source
• Fodder shrubs meet a
critical farmer need: a
protein source that can be
grown at home at low cost
12. The Scaling Up Problem
• Early 2000s: Rapid adoption around research stations but
little spread to new areas
• Why?
– Fodder shrubs are “knowledge-intensive” practices, they
require new knowledge and skills
– Lack of seed
– Extension staff lacked training
• So we tested 5 key extension approaches to an experimental
sample of 200,000 farmers (10% of total dairy popn)
13. Five key extension approaches
1. Extension facilitators
•ICRAF and National Research
Institutes recruited Extension
Facilitators to backstop
extension services promoting
fodder shrubs
•One facilitator, over a 3 year
period, assisted
•22 government, NGO and
private sector partners,
• 180 farmer groups and
• 3,200 farmers to establish
• 250 nurseries.
14. Western
Central
Kenya Projects/NGOs
Government Kenya
ICRAF
Small Dairy
Farmers
Seed
Dealers/
Producers Projects/NGOs
Problems:
1. Seed producers not
linked to final demand
Small Seed 2. Little seed produc- Small Dairy
Producers tion in area of demand Farmers
3. Free seed a disincentive
to market seed
2. Linking seed supply to demand: market chain for calliandra seed
15. Western
Projects/NGOs Central
Kenya
Kenya
KEFRI
ICRAF
Sold 3.8 t seed
in 2007,
Small sufficient for
Dairy
Farmers>100,000
farmers to
Seed plant
Dealers
Small Seed
Projects/NGOs
Producers/
Dairy firms Vendors
Dairy societies
Small Seed
Seed stockists Small Dairy
Producers
Farmers
Market Chain for calliandra seed (present)
16. 3. Partnerships
• After ICRAF-NARS research,
over 224 organizations
across 4 East African
countries were promoting
fodder shrubs
• 5 large NGOs helped about
60,000 farmers to plant
fodder shrubs in East Africa
– Strong extension staff
– Usually worked with
farmer groups
17. 4. Farmer-to-farmer dissemination
• Survey of 94 adopters 3 years after planting,
• 53% of adopters gave seed, seedlings, or wildings to other
farmers
• To how many farmers? On average 6.3
• ‘Master disseminators’ dominate the process:
• 5% of farmers accounted for 66% of dissemination
• Master disseminators are community members
motivated by wish to
– Help others (90%)
– Improve social status (33%)
– Earn cash (13%)
18. Fig 1: Results of a survey of fodder shrub
adopters to assess overlap between experts,
innovators, and disseminators (n=126)
Experts (48) Disseminators (44)
12 6
14
17
5 9
Finding:
15 40% of experts
are not good
disseminators
Innovators 46
19. 5. Volunteer farmer trainers: the example of the East Africa
Dairy Development Program: Kenya, Uganda, Rwanda
•Over 1000 volunteer farmer
trainers training farmers in
improved feed systems for dairy
cows, including fodder shrubs
•Over 40% are women
•Trainers receive training and
host a demo plot
•They are not paid and receive no
material support, aside from a
bag and a t-shirt
20. Case Study 2: Irish Aid Funded AFSP in Malawi
Four million Euro (2007-2010), 200,000 farmers
Facilitation of a consortium of partners (DAES, DARS, LRCD, DALH, FD,
NASFAM, MZUNI, UNIMA & NGOs)
ICRAF’s Role: Knowledge broker, planning & coordination, facilitate
training, ensure quality germplasm, M&E, reporting.
Outputs: capacity built, lessons (IPGs)
Outcome: change in adoption, knowledge and skills,
World Agroforestry Centre
21. Financial profitability of maize over a five-year
cycle in Zambia
Production system Net profit Benefit Return to
(US$/ha) Cost ratio Labour
($/person
day)
Unfertilized maize 130 2.01 1.10
Fertilized 349 1.77 2.53
Gliricidia intercropping) 269 2.91 2.51
Sesbania improved fallow 309 3.13 2.49
Tephrosia improved 233 2.77 1.91
fallow
22. New Cultivar Development
for Masuku (Uapaca kirkiana)
A superior cultivar (fruited after 4 yrs.)
Variations
Earlier fruiting, bigger fruits, heavy fruit loads,
smaller trees and uniform quality
23. Fertilizer trees promoted based on suitability in the maize-mixed farming system
Tephrosia Gliricidia Sesbania Pigeon pea
24. The activities are implemented by a number of partners in Malawi
Land ‘o’ UNIMA IDEAA
MDFA, COOPI
Lakes
CREMPA
SHMPA
FUM
MZUNI
CWW
NASFAM
CRS CU
DCP
SSLPP
LRCD
DAES
ICRAF
Livingstonia
synod DP
DAHLD
OSED
CADECOM
FD
DARS
FAIR
SHA Irish Aid
ICRISAT
25. Researching Scale Up in Malawi AF
1. Control + treatment farms, groups, villages, districts
2. Monitor covariance for location, farm traits, gender
3. Fodder, fertiliser, fruit, fuelwood trees as technologies
4. Test different partners
5. Test different group approaches of beneficiaries (nurseries)
26. Key innovations and use by beneficiaries
Tree type Innovation Species # Beneficiaries Target farming
in Malawi system
Fertilizer Under-sowing, Cajanus, Tephrosia, 166,156 Maize-mixed
rotational fallow Sesbania
Intercropping Gliricidia 14,314
Dispersed plan Faidherbia 36,357
Fruit Dispersed or Mango, citrus, guava, 10,543 Non-specific
block planting indigenous sp
Fodder Contour, block Leucaena, Caliandra 22,111 Agro-pastoral
Woodlot Firewood Senna, Acacia 14,524 Non-specific
Timber Khaya 208
REDD = Reducing emissions from deforestation
27. Beneficiaries of AFSP (According to ICRAF report)
2007 2008 2009 2010 Total
# of farmers reached 42,419 65,522 91,022 37,656 184,463
Seed distributed (kg) 24,000 54,000 17,500 9,600 105,100
According to external evaluation by the Centre for Independent Evaluation
(CIE), the AFSP has covered 92% of the targeted beneficiaries.
“From our sample, nearly 70% of the beneficiaries had received training”
(CIE report)
28. The external evaluation team (CIE) concluded that the AFSP has
Improved household food security, nutrition and dietary diversity
Maize yield Number of food secure months
AFSP beneficiary
Non-beneficiary
3.0
2.5
Maize yield (t/ha)
2.0
1.5
1.0
0.5
0.0
Mzimba Dedza Thyolo Mulanje Salima
All data and figures from household survey by CIE
29. The external evaluation team (CIE) concluded that the AFSP has
Improved household food security, nutrition and dietary diversity
Food availability Nutrition: Dietary diversity score
100
AFSP beneficiary
Percent respondents who perceive food
Non-beneficiary
80
availability has increased
60
40
20
0
Mzimba Dedza Thyolo Mulanje Salima
All data and figures from household survey by CIE
30. IFAD RUPES SITES IN ASIA
covering 12 sites in 8
countries
Bac Kan
31. Conservation Contract
Soil Sediment pits: 300 per hectare, standard
conservation dimensions size: 100x150x40 cm evenly
activities distributed
Ridging: 50 percent of plot
Vegetation strips: surrounding pits and
ridging
Maintaining all the land conservation
structure above for a year.
Payment 50 percent at inception; 50 percent at one year
schedule contingent on performance
Duration and One year with monitoring every three months;
monitoring termination if 50% contracted activities not
completed by midterm monitoring date
Cancellation or non-compliance results in:
ineligibility for second payment installation
friction and conflict among community members
indication of corruption
Force majeur provision for contract terms in the event of natural
disasters
33. Results
• Total participants from 2 villages:
82 farmers bidding on 70 hectares
• Participants received contracts for soil
conservation:
34 farmers on 25 hectares
• Average price of contract:
USD 171.70 per hectare yearly
– labor requirements of contract based on wages
approximately USD 300
– Past investment for soil conservation activities
from survey USD 225
34. Final auction outcomes from 2 pilot sites
Auction Outcomes Site 1 Site 2 Pooled Pooled
(without
outlier)
Number of participants 48 34 82
Number of winners 19 15 34
Number of hectares 10.75 14.25 25
contracted
Contract price per 172 161 166
hectare (USD)
Median bid 215 161 176
Mean bid 301 260 284 255
Minimum bid 97 65 65 65
Maximum bid 2,688 753 2,688 1,075
Std deviation bid 405 195 334 199
35. What are factors induced a high
Discussion
accomplishment rate?
• The rate of accomplishment at the final
monitoring was moderate.
– lack of leadership and coordination among farmer group
members,
– difficulty in finding grass seedlings to accomplish the
contract, and
– coincidence with coffee harvesting time.
• In this specific case, private contract tends to be
more successful compared to collective contract
when leadership is lacking or “champion” among
the community members does not exist.
– Institutional aspects and contract flexibility might
influence the accomplishment of conservation efforts.
– Analysis showed that there were no significant
differences in level of understanding, complexity, and
competitiveness and conservation awareness between
compliant and non-compliant farmers.
36. How to make it work?
• A limitation of this study is that all units of
the pilot site were treated as
homogeneous, with respect to their
contribution to erosion and downstream
sedimentation.
• For a larger scale allocation
auction, modifications such as using supply
curve information resulting from this
procurement auction would be more
appropriate.
– a reasonable platform for designing a scaled up fixed
payment scheme, including differential rates and
eligibility rules necessary for targeting participants.
37. How to make it work?
The design of an experimental auction should
fit the purpose of overall objectives of a
conservation program.
In this case, the challenge was to design and
administer a fair auction for farmers with
low formal education, prone to social
conflicts, and influenced by power structures
within their community.
39. Cocoa Yields are too low
0.5 MT/ha
Number of plots surveyed
70
60
50
40
30
20
10
0
0-100
600-700
700-800
800-900
900-1000
100-200
200-300
300-400
400-500
500-600
1000-1100
1100-1200
1200-1300
1300-1400
1400-1500
1900-2000
1800-1900
1500-1600
1600-1700
1700-1800
Yield classification (kg/ha)
Source: Etude sur les revenus et les investissements des producteurs de café et de cacao en Côte
d’Ivoire, Agrisystems Consortium, 2008
40. Cacao Sector Value Chain Volume-Based Opportunities
Opportunities Exist To Increase the Yields of Cacao Farms Three-Fold Through Productivity
Improvements
1600 New Productivity – 1521 Kg/Ha
1400
351
1200
Step 3
1000
Volume (Kg) / Hectare
>3X 585
800
600
135 Step 2
400 Step 1
200 450
0
Current Knowledge / Germplasm Fertilizer
Pesticides
Potential Impact of Volume-Based Gains
on Farm Productivity
(Gains in kg/ha)
40
42. Illustrative Impact Pathway – Tree Crop Development in Cocoa
Research Outputs Development Outputs Research Outcomes Dev Outcomes
Identify higher
yielding and
pest resistant clones Improved planting Increased cultivation
available of superior
Compatible cocoa varieties under better
diversification practices, with increased yields
options developed Germplasm
multiplication
blocks
Reliable method established Training and
to multiply extension
Healthier /more diversified
cocoa clonally events held
cocoa farms and
Demonstrations adjacent landscapes
established
Best practices
for cocoa system/tree
management Progressive
Extension Fair, transparent and
cocoa profitable market chains
materials
certification operating at national
produced
operational and international levels
Farmer perspectives,
effect on women,
incentive measures Formation of
understood better producer Increased
associations donor, regulator, national
government
Policy barriers and local authority
investigated and Cocoa policies awareness, investment
Policy dialogues
options reformed and support
formulated
43. CDC and associated demos (non-contiguous)
- Side graft onto old tree
- Chupon graft on old tree Farmer A with
side graft old
- seedling graft (new planting)
Farmer B with
side graft old
seedling graft
chupon graft old
Farmer F with
seedling graft
CDC
core Most farmers
with no demos
Farmer C with
side graft old
chupon graft old
Farmer E with Farmer D with
seedling graft chupon graft old
chupon graft old
44. CDC Core on Community Land
Satellite nursery model
(banana leaves shade, etc)
Storage Fermentation/drying demos
Covered sheds
Meeting
Area Storage
sheds
Pruning, fertiliser demos
Clonal trial
Water storage
- trials
- hybrid seed orchard 1.5ha
- budwood garden 1.5ha
Nursery production
45. CDC on Community Land
VCC
VCC
VCC VCC
VCC
VCC
Satellite nursery model
VCC
(banana leaves shade, etc)
VCC
VCC
Storage
VCC
Fermentation/drying demos
sheds
Covered
Meeting
Area
Storage
sheds
Pruning, fertiliser demos
Clonal trial
VCC VCC
Water storage
Nursery production
VCC VCC
VCC VCC
1 CDC supports 15-20 VCCs
1 VCC serves 50-100 farmers VCC
1 farmer having 200-1000 improved trees
VCC VCC
1 CDC for each 750-2000 farmers (av. 1200)
1 CDC leads to 240,000 – 1,200,000 (av. 600,000)
46. On a single farm
Say 40% are early
adopters or
testers
Say 85% of farners
Second
expansion test or adopt
area
Third
expansion
First test area
area Reach with
info and germplasm
Say 70% farmers
Maximum
final area TARGET AREA = 300,000 farmers in greater Soubre
to new cocoa
47. Alpine Ecosystem is very Sensitive to
Climate Change: Tibetan Plateau of China
Solar energy
Summer
Alpine meadow
These processes are
Grass vulnerable to climate change
Spring
Hay Milk Meat Dung Cheese Transitional camp
Permanent settlement
Winter
48. Rangeland Carbon Project:
Qinghai Province, Zeku county
Zeku
county
ICRAF did field research!
Favorable context
• institutions (land
tenure, administration, herders
organizations)
• science and knowledge (baseline
information, technical packages, strength
of national institutes)
49. Methodology for Sustainable
Grassland Management (SGM)
CAAS took leading role in standardization at national
level (increased ownership from Chinese government)
50. Potential Scale-up in Africa, Central Asia and Mongolia for
Climate Smart Agriculture
Potential scaling-up at regional level
51. Rural Resource Centres Transform
Lives and Landscapes through
Participatory Tree Domestication in
West and Central Africa
Degrande A, Bwama Meyi M, Caspa R, Dibwe D,
Asaah E, Biloso A, Okwu C and Tchoundjeu Z
World Agroforestry Centre (Cameroon, DRC, Nigeria), IFA-
Yangambi (DRC), IRAD (Cameroon), INERA (DRC)
52. Conceptual framework for
disseminating agroforestry Increased income
of rural
households;
improved health &
nutrition; etc.
Policy Support for
Dissemination of
Tree Domestication
Increased
Institutional Development TD
& Linkages uptake
Germplasm Knowledge & Human
Information Capacities
53. Key services that TDRC provide
Skills development in areas such as nursery
practices, group dynamics and marketing
Information and demonstration of new technologies
and innovations
Access to market information
Links with market actors particularly from the private
sector
A forum for exchange of information among farmers
and between farmers and other stakeholders
Seed, seedlings and other inputs
54. Multiplier effect
Satellite Farmer group
nursery Farmer group
5-20 Farmer group
Satellite
nursery Farmer group
RRC Farmer group
Satellite Farmer group
nursery
Small-
Satellite Farmer group
nursery Farmer group
holder
Farmer group Farmers
Satellite Farmer group
nursery Farmer group
RRC
Satellite Farmer group
nursery Farmer group
Satellite Farmer group
nursery
56. Smallholder nurseries have
become genuine enterprises
• 1/3 of adopters interviewed reported
an increase in income, mainly from
sales of plants (Tchoundjeu et al., 2010)
• In 2010, sample survey of 15
nurseries in Cameroon generated on
average 2,200 USD (ICRAF-WCA, 2010)
• 10 out of 21 new tree nurseries in
Nde division, West Cameroon
generate at least 1000 USD per year
• Smallholder nurseries win contracts
for seedling supply to national
reforestation programmes
57. Adjudicated Land
Adjudicated
under the Land
Adjudication Act
CAP 284
1968, intensive
smallholder
cultivation with
clear freehold title
62. Economic, Environmental and Social Tenure
Unadjud Freehold
Impacts Effect
Net returns to land ($ ha-1 y-1) $126 $288 2.28
Woody crops, woodlots etc (ha km-2) 5.4 25.6 4.7
Hedgerows (km km-2) 5.2 23.6 4.5
Social cost from embedding -$40 $30 $70
Social "tax" -32% +10%
63. International conference to take stock of current
policies, thinking and practice, successes and failures of
ongoing and past reforms in extension and advisory services
and build a coalition moving forward to specifically address
meeting the future needs of small-holder
farmers, marginalized communities, women and youth in a
sustainable and cost effective manner.
CTA, FARA, GFRAS, IFAD, FAO, AGRA, KARI, ICRAF and others
http://extensionconference2011.cta.int/
64. Caution:
avoid Research on Scaling Up
becoming a pseudo science
as Ben Goldacre warns in
medical science
66. Why not use Principles for Research in Scaling Up?
1. Problem based (utility, not pure curiousity)
2. Testing a hypothesis, construct, paradigm
3. Systematic/experimental approach
4. Observations (repeated)
5. Independent thinking, deductive reasoning
6. Documented and shared
7. Undergoes critical peer review (credible)
8. Validated, revalidated (robustness)
9. Unplanned serendipity
10.Progressive, building on base of knowledge, zero fraud