The Bureau for Food Security (BFS) of USAID commissioned five country studies examining the scaling up of agricultural innovations through commercial pathways in developing countries, to understand how the Agency – including its country missions and implementing partners (IPs) – can use donor projects to achieve greater scale and long-term commercial sustainability. 

Feed the Future Asia Innovative Farmers Activity (AIFA)  is a regional project working to facilitate the scaling of critical agricultural technologies through regional partnership and technology transfer. The project works with a range of agricultural technology stakeholders on a regional basis (private sector, research institutions, governments, networks, etc.) to increase food security, reduce poverty, and improve environmental sustainability by facilitating agricultural innovation and technology diffusion in the Asia region. 

CBCMP II is aimed at strengthening the human and institutional capacity of Afghanistan’s Ministry of Agriculture, Irrigation and Livestock (MAIL). It also includes strengthening the linkages between MAIL, Provincial Directorates of Agriculture, Irrigation and Livestock and District Agriculture Offices.The primary objective is focused on improving the ministry’s institutional capacity by providing formal trainings and on the job training (coaching and mentoring) to civil servants in the target locations. 

This report provides an analysis of potential capacity and training needs based upon a review of four documents and gives recommedations on general ministerial structure, policy analysis, monitoring and evaluation, financial management and budget, food security, reward and incentive structures, and specific technical needs.

The objective of this Guide is to recommend a process and set of steps for an organization to prepare, establish and to develop effective Water Users Associations (WUA) suitable to Tajikistan. It summarizes lessons learned in Tajikistan, by two donor finance projects, which established and trained 97 WUAs. Establishment of WUAs is essential in order to solve existing problems in the irrigation sector and other challenges faced by farmers and other water users3 .

The Agriculture Technology Program for Turkmenistan (AgTech) takes a comprehensive approach to agricultural development in Turkmenistan by implementing high-impact activities in the livestock and greenhouse horticulture sectors to achieve the two objectives: improve genetics, education and organizations for private livestock producers; introduce successful agribusiness practices.

The Scaling Agricultural Innovations Workshop gathered scaling experts from a range of organizations and agriculture sectors to share their experiences and ideas on the findings and lessons learned from five case studies (hybrid maize in Zambia, irrigated rice in Senegal, Purdue Improved Crop Storage bags in Kenya, agricultural machinery services in Bangladesh, and Kuroiler chickens in Uganda).

Understanding spatial patterns of land use and land cover is essential for studies addressing biodiversity, climate change and environmental modeling as well as for the design and monitoring of land use policies. The aim of this study was to create a detailed map of land use land cover of the deforested areas of the Brazilian Legal Amazon up to 2008.

Good agricultural practices (GAPs) are an indispensable tool for risk management due to the close relationship between agriculture and climate, as well as the climate variability currently being experienced. The implementation of these tools, however, involves fostering innovation, increasing knowledge and giving stakeholders, small producers in particular, a holistic view, so that they may improve their production systems, increase their resilience, and ensure their sustainability.

One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.