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Tanzania Africa RISING Baseline Evaluation Survey (Tanzania ARBES)
Household and community survey in support of Africa RISING M&EResources
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Community & Household data and supporting documentation HTML
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Rapid characterisation of farming systems in Africa RISING - MALI
Household and community survey in support of Africa RISING farming systems analysisResources
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Mali Rapid Survey Data HTML
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Rapid characterisation of farming systems in Africa RISING - MALAWI
Household and community survey in support of Africa RISING farming systems analysisResources
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Malawi Survey (rapid) HTML
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Rapid characterisation of farming systems in Africa RISING - GHANA
Household and community survey in support of Africa RISING farming systems analysisResources
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Survey Ghana (Rapid) HTML
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Post-harvest food losses in a maize-based farming system of semi-arid savanna...
Survey of post-harvest handling of maize, storage practices and food lossesResources
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Post harvest losses in Babati HTML
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Mali AfricaRISING farm characterization survey
Farm characterization survey conducted in villages Sirakele, Sibirila, and DiebaResources
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Farm characterization HTML
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Malawi Africa RISING Baseline Evaluation Survey (Malawi ARBES)
Household and community survey in support of Africa RISING M&EResources
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Community & Household Data Files and documentation HTML
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Ethiopia Africa RISING Baseline Evaluation Survey (Ethiopia ARBES)
Household and community survey in support of Africa RISING M&EResources
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Community & Household data and supporting documentation HTML
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Rapid characterisation of farming systems in Africa RISING - TANZANIA
Household and community survey in support of Africa RISING farming systems analysisResources
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Rapid Characterization of Farming Systems in Tanzania HTML
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MoreMilkIT - Uncertainty in milk production study
The data for the study was collected in August 2016 at one of the MoreMilkIT project sites, Lushoto district, located in the north of the Tanga region in the eastern milk shed....Resources (2 of 4 )
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Infection dynamics and disease burden of East African cattle (IDEAL)
IDEAL was a multi-disciplinary study addressing two main issues: 1) the widely recognised lack of baseline epidemiological data on the dynamics and impacts of infectious...Resources (2 of 3 )
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Website link to SQL Database and associated metadata, SOPs etc. HTML
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Fertilizer Study Gender Babati
Qualitative follow-up to coupon intervention in BabatiResources
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Qualitative Interviews HTML
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Raising and sustaining productivity in cereal-legume cropping systems in nort...
Scaling-up sustainable cropping practices: 'Zia' and 'Micro-dosing'Resources
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Dataset & documentation HTML
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Testing and dissemination of improve varieties and agronomic practices using ...
Raising and sustaining productivity in cereal-legume cropping systems in northern GhanaResources
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Cowpea, soybean, groundnut, maize mother HTML
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Test and disseminate technologies to intensity vegetable mono-cropping
Integrating vegetable into cereal-legume cropping productions systems in GhanaResources
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Eggplant, okra, pepper, roselle, tomato HTML
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Sustainable intensification of low-input agriculture systems Zambia
The datasets contain field level trial data on low-input agriculture systems in ZambiaResources
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Multiple Trials HTML
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Soil survey to characterize 2 sentinel sites (CIAT)
The Land Degradation Surveillance Framework (LDSF) used by AfSIS was employed to conduct a systematic biophysical assessment of various ecological and soil health metrics. The...Resources
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LDSF Long and Matufa Soil Data HTML
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Seven modules on nutrition developed by AVRDC, AMEDD and ICRISAT
The topics treated during the nutrition field school sessions were (1) nutrition of children between six and 24 months and preparation of enriched porridge using whole grain...Resources
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Guide nutrition HTML
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Scaling-up sustainable cropping practices: 'Zia' and 'Micro-dosing'
Raising and sustaining productivity in cereal-legume cropping systems in northern GhanaResources
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Scaling-up Sustainable Cropping Practices'Zia and 'Micro-Dosing HTML
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Rice yield in demonstration plots in targeted districts in Tanzania
Rice yield estimation was done by farmers and VAEOs with the guidance of rice team researchers.Resources
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Rice yield data AR-NAFAKA 2016 HTML
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