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    In our research we assess the sustainability performance of 400 smallholder farms practicing organic (i.e. certified or non-certified) and non-organic agriculture (i.e. conventional or other) using the Sustainability Monitoring and Assessment RouTine (SMART)-Farm Tool and examine differences between these farm categories using multivariate analyses. We also identify general gaps in sustainability performance for all farms. Murang'a County, Kajiado County.

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    This set of interviews is part of the 'Farmer Empowerment' project that focused on the impact of farmer organizations (FOs) on the socio-economic development of their FO-members. The interviews were conducted within a second field research in order to gather information on specific impact pathways of selected FOs that work to empower respective FO-members.

  • Categories    

    In our research we assess the sustainability performance of 400 smallholder farms practicing organic (i.e. certified or non-certified) and non-organic agriculture (i.e. conventional or other) using the Sustainability Monitoring and Assessment RouTine (SMART)-Farm Tool and examine differences between these farm categories using multivariate analyses. We also identify general gaps in sustainability performance for all farms.

  • Categories  

    This set of interviews is part of the 'Farmer Empowerment' project that focused on the impact of farmer organizations (FOs) on the socio-economic development of their FO-members. The interviews were conducted within a second field research in order to gather information on specific impact pathways of selected FOs that work to empower respective FO-members.

  • Categories  

    This set of interviews is part of the 'Farmer Empowerment' project that focused on the impact of farmer organizations (FOs) on the socio-economic development of their FO-members. The interviews were conducted within a second field research in order to gather information on specific impact pathways of selected FOs that work to empower respective FO-members.

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    Using the methodology developed by Graw and Husmann (2014), the map overlays three indicators (high agricultural potential, high poverty mass and high yield gaps) to identify areas with high potential for agricultural development and poverty reduction in Kenya. Data sources and thresholds: Agricultural potential: Suitability of currently available land area for rainfed crops, using maximising crop and technology mix, FGGD map 6.61 (2005), High: top 3 suitability classes (medium high, high and very high) Poverty mass: Number of poor people in Kenya (by district), KIHBS (2005/06), High: >300,000 per district Yield gap: Yield gap for a combination of major crops, FAO/IIASA - GAEZ (2000/05), High: < 0.25 (on a scale from 0-1, with the highest value in Kenya ca. 0.44) District boundaries: Kenya Central Bureau of Statistics (2003)

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    This set of interviews is part of the 'Farmer Empowerment' project that focused on the impact of farmer organizations (FO) on the socio-economic development of their FO-member. The interviews were conducted within a first field research in order to gather information on institutional settings of FOs and to identify empowering approaches and empowering areas of Farmer Organizations.

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    The Map shows the overlay of the number of land cover changes with NDVI decrease and increase between 2001 and 2011 referring to NDVI trends. Three classes among the trends are built. Besides a “tolerance class” meaning NDVI trends between -0.005 and +0.005 the dataset was classified into “decreasing” (NDVI Trend <-0.005) and “increasing” (NDVI trend >0.005) vegetation trends. The overlay highlights the southern part of Kenya, especially the counties Narok and Kajiado where a stable land cover and decreasing trends overlap. Within this overlap are also Kitui and Isiolo – both counties that were also highlighted in the OLS-regression output as underpredicting –, parts of Marsabit and some small areas along the coastline. Also again the northwestern area, mainly Turkana Region but also West Pokot and Baringo are expressing increasing trends and seem to be linked to a more stable land cover.

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    Mobile phones have become the most ubiquitous telecommunication technology in developing countries. To take advantage of this trend, businesses, government agencies and non-governmental organisations are increasingly turning their attention to the delivery of services through mobile phones (m-services) in areas such as health, education, agriculture and entertainment. In the agriculture sector, information services are most common while m-payments, virtual markets and supply chain management systems are also expanding. The use of mobile phones in agricultural service delivery is still at an early stage, however, and most of the services have yet to reach scale and long-term financial sustainability. The dissertation examines how m-services could facilitate the participation of farmers in agricultural innovation processes, including the development and adoption of agricultural technologies. Four types of services are identified: information and learning, financial services, access to inputs and access to output markets. Existing empirical evidence in this research area is still scarce. To date, most of the research has focused on mobile phones as such. Only a few studies have looked specifically at m-services and their findings are not clear-cut. Several of them highlight benefits for farmers, including improved management practices, higher productivity or higher prices, while others do not find positive impacts. Kenya is widely seen as frontrunner in the development of m-services in Sub-Saharan Africa. The growth of the vibrant technology scene was facilitated by a number of factors, including the improving network infrastructure, government regulations and a supportive innovation environment that offers access to innovation hubs, finance and human resources. The growing customer base provides a promising market for m-service developers and through the mobile payment service M-Pesa, many Kenyans are already familiar with the use of their mobile phone for non-call related activities. A range of m-services are available for Kenyan farmers. However, the reach and scale of these services is still limited despite the conducive environment and their impacts have not been assessed. The dissertation presents the case study of M-Farm, an m-service that offers price information and marketing services to Kenyan farmers. It examines how the service has impacted farmers' decision to adopt agricultural technologies and their ability to generate income from their use. Farmers were very enthusiastic about the positive impact of M-Farm on production decisions and income, but the study finds little other evidence to support this positive perception. Other constraints, such as risk of crop losses, lack of insurance and limited finances, were generally seen as more significant obstacles. The study also shows that the radio provides a viable alternative to disseminating price information in the early stages of production, while M-Farm becomes more important closer to the selling stage. Existing m-services in the developing world are barely scratching the surface of what is technology possible. The dissertation examines how current technology trends may impact m-service delivery to farmers in the future. Three trends are identified, i.e. the growing diversity of mobile connected devices to access m-services; the 'Internet of Things' which links objects and people through the network; and the increasing ubiquity of mobile networks and expanding user base. The dissertation presents two scenarios for the evolution of mobile technology trends (Status Quo and Big Leap) and assesses their implications for agricultural service delivery.

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    This set of interviews is part of the 'Farmer Empowerment' project that focused on the impact of farmer organizations (FOs) on the socio-economic development of their FO-members. The interviews were conducted within a second field research in order to gather information on specific impact pathways of selected FOs that work to empower respective FO-members.