The youth crisis has recently received much attention from the global community, particularly in how it intersects with the future of agriculture. Causes of the youth crisis include univeral youth disinterest in agriculture, deskilled youth populations, lack of access to resources, gender disparity and lack of reliable data regarding youth in agriculture.

This report covers the first four months of implementation, corresponding to the period February 22–June 30, of the USAID Feed the Future Mozambique Agricultural Innovations Activity.  During this period, key and non-key personnel were mobilized and procurement and office start-up activities were carried out.

USAID’s Bureau for Food Security (BFS) commissioned this literature review to identify evidence or evidence gaps on innovation diffusion and the related field of market strategy for scaling up new technologies, particularly in the context of agriculture markets in relevant developing countries. The review is expected to inform the design of future BFS programming related to the scaling of agricultural innovations. 

This review aims to identify key issues and opportunities needed to bring current Agricultural Education and Training (AET) systems up to the needed capacity. This paper first looks at the opportunities identified in the preliminary research. Next the paper looks at some of the many pitfalls learned from previous AET work that should be avoided moving forward. Lastly the paper gives a brief explanation for some of the key areas that the preliminary research identified as requiring further research and study in a modern day context. 

The Food and Enterprise Development (FED) Program for Liberia, a USAID-funded initiative, aims to help the government of Liberia and the country achieve food security — in terms of food availability, utilization, and accessibility — by building an indigenous incentive structure that assists a range of agricultural stakeholders to adopt commercial approaches.This incentive structure will be built upon improved technology for productivity and profitability, expanded and modernized input supply and extension systems, commercial production, marketing, and proc

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).

Africa Lead II is a program dedicated to supporting and advancing agricultural transformation in Africa as proposed by the African Union Comprehensive Africa Agriculture Development Program. Simultaneously, it contributes to USAID’s Feed the Future goals of reduced hunger and poverty by building the capacity of Champions—defined as men and women leaders in agriculture—to develop, lead, and manage the policies, structures, and processes needed for the transformation process. 

Traditional shifting cultivation in the Amazon region has caused negative environmental and social effects due to the use of fire. This type of agriculture has been criticized because it results in emission of large amounts of carbon into the atmosphere and a loss of soil productive potential.

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.

Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.