Land-use changes have dramatically transformed tropical landscapes. We describe an ecological-economic land-use change model as an integrated, exploratory tool used to analyze how tropical land-use change affects ecological and socio-economic functions. The model analysis seeks to determine what kind of landscape mosaic can improve the ensemble of ecosystem functioning, biodiversity, and economic benefit based on the synergies and trade-offs that we have to account for.

TECA is an FAO online platform for the exchange and sharing of agricultural technologies and practices for smallholder farmers and producers. The platform facilitates the transformation process in rural areas by making relevant and innovative technologies available to farmers in the field. In doing so, TECA further enhances the access to knowledge of smallholder producers in rural areas increasing their capacity to innovate and contribute to achieving the Sustainable Development Goals (SDGs).

The Fall Armyworm first landed in West Africa in 2016 and has now spread over the whole continent. It has been recently reported in Yemen and India, and is most likely to spread in South east Asia and South China. This pest invades fields and cause significant damage to crops, if not well managed. FAO’s efforts to support farmers in the affected areas include amongst others the FAO Programme for Action, a global coordination project that brings together development and resource partners to maximize coordinated results and minimize duplications.

This case study chronicles Uganda’s experiences developing a gender-responsive National Adaptation Plan for the Agricultural Sector (NAP-Ag) and related capacity development for gender-responsive planning, budgeting and policy formulation. 

This study examines the influence of farmers’ social capital on their decisions to deal with climate change and climate variability in Burkina Faso. The study is based on a household survey conducted among 450 households, randomly selected from three communities in Burkina Faso.

This study identified gender-based constraints affecting the production, processing and marketing of biofortified cassava in two states in Nigeria, using a mixed methods approach. The study identified major differences between the two study sites (Benue and Oyo). The scale of production of biofortified cassava is higher in Oyo state among adult men because of their active involvement and collaboration with research institutes within the state and the ease of transporting products to Lagos State for designated diverse markets.

Climate change associated factors including temperature increases, changes in rain fall pattern and occurrence of pest and diseases negatively influence agricultural production, productivity and quality. Climate change effects particularly in region suffer persistent soil and water resource scarcity significantly increases production risk. The effects of climate change on agriculture may depend not only on changing climate condition, but also on the ability to adapt through changes in technology and demand for food.

The agriculture sectors are the most vulnerable to climate change and climate variability. Through the Integrating Agriculture in National Adaptation plans (NAP-Ag) programme, the United Nations Development Programme (UNDP) and the Food and Agriculture Organization (FAO) are supporting eleven countries in Africa, Asia and Latin America to plan for adaptation in the agriculture sectors. This video shows what three of these countries, Uganda, Thailand and Colombia, are doing to tackle climate change and integrate agriculture in their planning and budgeting processes.

It is difficult to establish the precise mathematical model of agricultural wheeled robots with differential drive for path tracking control, due to characteristics of nonlinear, strong coupling and multivariable. Here, path tracking control is studied for agricultural wheeled robot with differential drive based on sliding mode variable structure. Firstly, the motion model of agricultural wheeled robots with differential drive is established and control goal is determined for path tracking. Then, sliding mode variable structure is applied to design the controller.