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Table 3: Innovation case study characterisation<br />
Region Country Commodity<br />
Innovation types Planned or<br />
Approx. no.<br />
Operational<br />
Opportunity<br />
of farmers<br />
Level a Institutional Technical Policy<br />
driven Stage reached <strong>in</strong>volved<br />
Ethiopia Coffee 2,3 District x x Opportunity Susta<strong>in</strong>ability 87,000<br />
Kenya Dairy 1,3 National x x x Planned Susta<strong>in</strong>ability 1,500,000<br />
Eastern<br />
Horticulture 3,4 National x x Opportunity Susta<strong>in</strong>ability 20,000<br />
Africa<br />
Sweet potatoes 1,3 National x x x Planned Assessment 3,000<br />
Rwanda Climb<strong>in</strong>g beans 1,5 National / District x x Opportunity Assessment 50,000<br />
Uganda Dairy 1,3 National x x x Planned Susta<strong>in</strong>ability 1,200,000<br />
Botswana Beef cattle 1,3 National x x x Opportunity Susta<strong>in</strong>ability 250,000<br />
Malawi Cotton 3,4 National x x Opportunity Susta<strong>in</strong>ability 200,000<br />
Groundnuts 1,4 District x x x Opportunity Susta<strong>in</strong>ability 3,000<br />
Legume seed 1 National x x Planned Assessment 150,000<br />
Southern<br />
Africa<br />
Conservation agriculture - District x x Planned Assessment 3,000<br />
maize and tomatoes 1,5<br />
Soil fertility -maize and District x x x Planned Assessment 3,000<br />
legumes 1.5<br />
Vegetables 1,2,5 District x x Planned Assessment 3,0000<br />
Zambia Conservation agriculture<br />
– maize, cotton and<br />
legumes 1 National x x x Planned Susta<strong>in</strong>ability 175,000<br />
West<br />
Africa<br />
Cameroon Bananas 3 National x x x Planned Susta<strong>in</strong>ability 10,000<br />
Garlic ,2,3 District x x Planned Susta<strong>in</strong>ability 3,000<br />
Ghana P<strong>in</strong>eapples 3,4 National x x x Planned Susta<strong>in</strong>ability 15,000<br />
Ca<strong>ssa</strong>va 1 National x x Opportunity Assessment 5,800<br />
Niger Vegetables 1,2,5 District x x x Planned Assessment 2,500<br />
Nigeria Ca<strong>ssa</strong>va 1 National x x x Opportunity Assessment 150,000<br />
Rice 1,5 District x x x Planned Assessment 20,000<br />
1 Traditional crop,<br />
2 Niche crop,<br />
3 Export commodity,<br />
4 High labour <strong>in</strong>put,<br />
5 FARA SSA CP pilot learn<strong>in</strong>g site<br />
a District is used generically to mean County, District or other name for Local Government<br />
Purpose and methodologies used<br />
19