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FrédéricBaudron, 
David Kahan, Pascal Kaumbutho, John Sariah, Joseph Mutua, Richard Rose, Saidi Mkomwa, Brian Sims, John Blackwell 
Appropriate and Equitable Mechanization in Africa 
through Conservation Agriculture, Use of Two-Wheel Tractors, and Involvement of the Private Sector.
More FarmPower Neededin Africa… 
144.8 
172.9 
186 
188.2 
0 
50 
100 
150 
200 
1992 
1997 
2002 
2007 
Number of undernourished in SSA (millions) 
0 
0.5 
1 
1.5 
2 
1980 
1985 
1990 
1995 
2000 
2005 
2010 
Urban persons per active person in agriculture 
Ethiopia 
Kenya 
Malawi 
Mozambique 
Tanzania 
Zimbabwe 
Population is growing faster than food production 
Unmet demand: rising number of undernourished people 
Increasingly urban demand: more processing, more transport 
Producing more, processing more and transporting more requires more power
… but AvailableFarmPower has been Stagnating 
0 
5 
10 
15 
1980 
1985 
1990 
1995 
2000 
2005 
2010 
Density of tractors 
(nb per 1000 ha) 
India 
Ethiopia 
Kenya 
Malawi 
Mozambique 
Tanzania 
Zimbabwe 
0 
0.5 
1 
1.5 
2 
1980 
1985 
1990 
1995 
2000 
2005 
2010 
Desnity of cattle and buffaloes (heads per 1000 ha) 
0 
0.5 
1 
1.5 
1980 
1985 
1990 
1995 
2000 
2005 
2010 
Density of economically active people in agriculture (people per ha)
Drudgery (mainly Placed on Women) 
Power ? 
A major limitingfactor?
0 
2 
4 
6 
8 
10 
12 
14 
0 pair 
1 pair 
≥ 2 pairs 
Cereal production (t farm-1) 
Numberof oxen 
(Baudron et al., 2014) 
0 
10 
20 
30 
40 
50 
60 
70 
80 
0 
0.2 
0.4 
0.6 
0.8 
1 
N input from manure (kg ha-1year-1) 
Distance plot -homestead (km) 
Very rich 
Rich 
Poor 
Very poor 
(Zingoreet al., 2010) 
0 
5 
10 
15 
20 
25 
30 
35 
40 
Proportion of total annual labour (%) 
No pair of oxen 
One pair of oxen 
Two pairs of oxen or more 
(Baudron et al., 2012) 
0.5 
1 
1.5 
2 
2.5 
3 
3.5 
0 
20 
40 
60 
80 
Cotton yield (kg ha-1) 
Planting date (days after the 1st of Nov) 
(Baudron et al., 2011)
Addressingthe Issue of DecliningFarmPower 
Decreasingpower demand: 
Conservation Agriculture 
Increasingpower supply: 
Mechanization
CA & Appropriate-scaleMechanization 
Soil inversion is the most power intensive operation. 
Its suppression makes the use of lower powered, more affordable and easier to maintain tractors possible.
Striptillage 
Direct-seeding: 2 rows 
Direct-seeding: 1 row 
CA witha Two-Wheel TractorUS$ 772US$ 1,649US$ 1,156US$ 863US$ 2,826US$ 4,120
Stonyfields 
Weedload 
Transport 
Singulationof large seeds 
No true‘best bet’
US$ 800 
Locally-made tool-bar-basedseeder
Small and fragmented fields, reliance on small machines 
But one of the most mechanized agriculture of South Asia 
Service providers 
Only 1 in 30 farmers owned a tractor 
Equity: even the poorest access 2WTs services 
Key to success 
Low cost of the machines 
Multi-purpose machines 
Private sector-led model 
Importer 
Retailer 
2WT owner 
Contractfarmer 
Farmer 
Mechanic 
Driver 
Spareparts’ 
provider 
Diesel and oil 
provider 
Making small-scale mechanization viable: the Bangladesh experience
Developing business models to deliver small mechanization 
Importer/ manufacturer 
Operators 
Farmers 
Support service facilitators 
Financial service provision 
Spare part manufacturers 
Market access 
Service provider 
Financial and information flows 
Physical flows 
Institutional environment (laws, regulations, etc.) 
“A business model is how a company organizes to generate revenue and sustain itself” (Alexander Osterwalder) 
Service provider 
•Ethiopia: 
oFarmer cooperatives (supplied by private sector dealers) 
oCustom hiring services (entrepreneurs supplied by a public company importing equipment; loans) 
•Kenya: 
oOne-stop-shop (cluster of agribusinesses providing a broad range of services) 
•Tanzania 
oPrivate sector dealer model (linking to farmer groups) 
•Zimbabwe 
oContract farming (package of inputs and services provided on credit) 
•Coordination (inter-business linkage) 
•Capacity-building 
•Information 
•Promotion (e.g. branding) 
•Finance
1.Private rural service providers (only few farmers will be able to purchase machines individually) 
2.Flexibility of BM (changing local context) 
3.Possible need of a broker (weak markets, vulnerable farmers) 
4.Linking input BM to output BM (cash flow) 
5.Multi-purpose uses (to maximize mechanization use rates) 
6.Bundling of services and products (to reduce the cost of mechanization services) 
7.Possible need for kick-start ‘smart’ subsidies (to get the private sector involved) 
Business Model Development: 
7 Principles
Conclusion: WhyShoulditWorkThis Time? 
Demand for mechanized services has increased (intensification, commercial orientation) 
Supporting infrastructure (e.g. access to finance, repair services, fuel and lubricants)has developed 
Past focus on 4WTs (inappropriate for small and fragmented fields, and too costly for African smallholders) 
Past public sector focus (inefficient and uneconomic government-run tractor hire schemes) 
Tapping the synergies between CA and small mechanization 
0 
1 
2 
3 
4 
5 
6 
7 
8 
1960 
1970 
1980 
1990 
2000 
2010 
Value of addedby agriculture (billion currentUS$) 
Ethiopia 
Kenya 
Malawi 
Mozambique 
Tanzania 
Zimbabwe
Thankyou!

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Farm Mechanisation - 2WTractors Oral presentation wcca6 f baudron

  • 1. FrédéricBaudron, David Kahan, Pascal Kaumbutho, John Sariah, Joseph Mutua, Richard Rose, Saidi Mkomwa, Brian Sims, John Blackwell Appropriate and Equitable Mechanization in Africa through Conservation Agriculture, Use of Two-Wheel Tractors, and Involvement of the Private Sector.
  • 2. More FarmPower Neededin Africa… 144.8 172.9 186 188.2 0 50 100 150 200 1992 1997 2002 2007 Number of undernourished in SSA (millions) 0 0.5 1 1.5 2 1980 1985 1990 1995 2000 2005 2010 Urban persons per active person in agriculture Ethiopia Kenya Malawi Mozambique Tanzania Zimbabwe Population is growing faster than food production Unmet demand: rising number of undernourished people Increasingly urban demand: more processing, more transport Producing more, processing more and transporting more requires more power
  • 3. … but AvailableFarmPower has been Stagnating 0 5 10 15 1980 1985 1990 1995 2000 2005 2010 Density of tractors (nb per 1000 ha) India Ethiopia Kenya Malawi Mozambique Tanzania Zimbabwe 0 0.5 1 1.5 2 1980 1985 1990 1995 2000 2005 2010 Desnity of cattle and buffaloes (heads per 1000 ha) 0 0.5 1 1.5 1980 1985 1990 1995 2000 2005 2010 Density of economically active people in agriculture (people per ha)
  • 4. Drudgery (mainly Placed on Women) Power ? A major limitingfactor?
  • 5. 0 2 4 6 8 10 12 14 0 pair 1 pair ≥ 2 pairs Cereal production (t farm-1) Numberof oxen (Baudron et al., 2014) 0 10 20 30 40 50 60 70 80 0 0.2 0.4 0.6 0.8 1 N input from manure (kg ha-1year-1) Distance plot -homestead (km) Very rich Rich Poor Very poor (Zingoreet al., 2010) 0 5 10 15 20 25 30 35 40 Proportion of total annual labour (%) No pair of oxen One pair of oxen Two pairs of oxen or more (Baudron et al., 2012) 0.5 1 1.5 2 2.5 3 3.5 0 20 40 60 80 Cotton yield (kg ha-1) Planting date (days after the 1st of Nov) (Baudron et al., 2011)
  • 6. Addressingthe Issue of DecliningFarmPower Decreasingpower demand: Conservation Agriculture Increasingpower supply: Mechanization
  • 7. CA & Appropriate-scaleMechanization Soil inversion is the most power intensive operation. Its suppression makes the use of lower powered, more affordable and easier to maintain tractors possible.
  • 8. Striptillage Direct-seeding: 2 rows Direct-seeding: 1 row CA witha Two-Wheel TractorUS$ 772US$ 1,649US$ 1,156US$ 863US$ 2,826US$ 4,120
  • 9. Stonyfields Weedload Transport Singulationof large seeds No true‘best bet’
  • 10. US$ 800 Locally-made tool-bar-basedseeder
  • 11. Small and fragmented fields, reliance on small machines But one of the most mechanized agriculture of South Asia Service providers Only 1 in 30 farmers owned a tractor Equity: even the poorest access 2WTs services Key to success Low cost of the machines Multi-purpose machines Private sector-led model Importer Retailer 2WT owner Contractfarmer Farmer Mechanic Driver Spareparts’ provider Diesel and oil provider Making small-scale mechanization viable: the Bangladesh experience
  • 12. Developing business models to deliver small mechanization Importer/ manufacturer Operators Farmers Support service facilitators Financial service provision Spare part manufacturers Market access Service provider Financial and information flows Physical flows Institutional environment (laws, regulations, etc.) “A business model is how a company organizes to generate revenue and sustain itself” (Alexander Osterwalder) Service provider •Ethiopia: oFarmer cooperatives (supplied by private sector dealers) oCustom hiring services (entrepreneurs supplied by a public company importing equipment; loans) •Kenya: oOne-stop-shop (cluster of agribusinesses providing a broad range of services) •Tanzania oPrivate sector dealer model (linking to farmer groups) •Zimbabwe oContract farming (package of inputs and services provided on credit) •Coordination (inter-business linkage) •Capacity-building •Information •Promotion (e.g. branding) •Finance
  • 13. 1.Private rural service providers (only few farmers will be able to purchase machines individually) 2.Flexibility of BM (changing local context) 3.Possible need of a broker (weak markets, vulnerable farmers) 4.Linking input BM to output BM (cash flow) 5.Multi-purpose uses (to maximize mechanization use rates) 6.Bundling of services and products (to reduce the cost of mechanization services) 7.Possible need for kick-start ‘smart’ subsidies (to get the private sector involved) Business Model Development: 7 Principles
  • 14. Conclusion: WhyShoulditWorkThis Time? Demand for mechanized services has increased (intensification, commercial orientation) Supporting infrastructure (e.g. access to finance, repair services, fuel and lubricants)has developed Past focus on 4WTs (inappropriate for small and fragmented fields, and too costly for African smallholders) Past public sector focus (inefficient and uneconomic government-run tractor hire schemes) Tapping the synergies between CA and small mechanization 0 1 2 3 4 5 6 7 8 1960 1970 1980 1990 2000 2010 Value of addedby agriculture (billion currentUS$) Ethiopia Kenya Malawi Mozambique Tanzania Zimbabwe