This assessment has been conducted over December 2015 to May 2016 under the Powering Agriculture Support Task Order (PASTO). PASTO is funded by USAID and implemented by Tetra Tech ES, Inc. PASTO provides support services to the Powering Agriculture: An Energy Grand Challenge for Development (PAEGC) and its Founding Partners to enable their effective management, monitoring and evaluation of the program.

The Cold Chain Bangladesh Alliance (CCBA) aims to increase the availability, access, and use of domestically‐produced and nutritious foods in an effort to sustainably reduce poverty and hunger. 

To ensure that Feed the Future impact evaluations are well-conceived, build on existing evidence, and fill critical evidence gaps, the Bureau for Food Security of USAID is supporting a comprehensive assessment of existing evidence and gaps in knowledge for each of six themes covered by the Feed the Future Learning Agenda. This paper summarizes available evidence that relates to key questions for the Feed the Future Learning Agenda theme on improved gender integration and women’s empowerment. 

The Women’s Leadership Program in Paraguay is a three-year (2012-2015) higher education partnership between the National University of Asuncion’s School of Agricultural Sciences in Paraguay and the University of Florida (UF) in the United States.The program supports national and local development goals in Paraguay that promote gender equality and female empowerment in the agricultural sector.  

Making Cents International (MC) conducted an assessment of youth in agriculture in the Equatoria region of South Sudan. This activity was done at the invitation of Abt Associates under USAID’s Food, Agribusiness and Rural Markets (FARM) II project, a Feed the Future initiative.

The purpose of this study was to assess the perceptions of agricultural technical school (ATS) instructors in Egypt related to implementing experiential learning in the form of internships. In July 2007, 90 ATS instructors attended workshops focused on conducting internship experiences. Self–perceived competency of ATS instructors to implement internships was assessed immediately following inservice training. Approximately a year later (June 2008), ATS instructors’ self–perceived importance and application of internship competencies were assessed. A discrepancy score was also calculated.

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.  

The Africa Leadership Training and Capacity Building Program (Africa Lead), aims to support the capacity building program of the US Government’s Feed the Future Initiative, which aligns U.S. Government development assistance with Africa-owned agriculture development plans that are, in turn, aligned with the African Union’s Comprehensive Africa Agriculture Development Program.

From November 1, 2012 to June 30, 2015, Michigan State University subcontracted Washington State University together with the University of Rwanda (UR)  in order to deliver a gender sensitive Masters of Science in Agribusiness program at UR. The project had three specific objectives, to strengthen the human and institutional capacity of UR in teaching and applied research in agricultural sciences; to promote and support women's access to graduate education in agricultural sciences; and to extend UR's knowledge about, and women's expertise in, agricultural sciences to the community.

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.