The Farmer Field School (FFS) approach has been very successful and witnessed a strong expansion in many areas beyond crop production. Notwithstanding this success, the adoption of FFS in national extension often remains problematic and FFS activities have often been implemented in the margin of national institutions with strong reliance on donor funding. The creation of an enabling environment for institutional support is essential for expanding the effort, improving quality, and strengthening impact and continuity of the FFSs.
The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
Four FFSs concerning integrated crop–livestock systems were implemented by a R&D project namely “Adaptation to Climate Change in West Asia and North Africa (WANA) Marginal Environments through Sustainable Crop and Livestock Diversification (ACC project)” during the summer season 2013 in three villages namely Village 4, Village 7 and Village 1750 in Sinai Peninsula. This study aimed to do the following: (1) assess the learning impacts of farmer field schools of integrated crop–livestock package and (2) explore the factors that affect the respondents’ learning index.