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.

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.