TechnoServe integrates technology into many of our programs to reach more people and scale our impact around the world. Today we are sharing five things you might not know about how technology is fighting poverty in 2021.
TechnoServe's work in Benin with the CajùLab project is featured in this podcast segment for BBC Africa.
Temperatures are rising, the nutritional value of food is declining, and food systems are strained. Climate change is at the core of many food security challenges. How should we respond? Although the challenges ahead are daunting, there’s hope.
Progress Chisenga is a former TechnoServe Fellow who worked in Mozambique in late 2019 through early 2020, where she worked on a project supporting rice and vegetable farmers in Mozambique. In this Q&A, Progress shares her thoughts about the experience and the future.
In Guatemala, shifting weather patterns and increased natural disasters are creating additional challenges for smallholder produce farmers like Manuel Guarcas Batzibal. TechnoServe is working with these farmers to boost their climate resilience while also addressing challenges related to high production costs, price volatility, and informal market connections.
In an important ecological buffer zone of northeastern Honduras, farmers are learning how to improve their coffee productivity while preserving the natural landscape. A TechnoServe program helped farmers raise productivity by 200% while still ensuring the environmental sustainability of the largest protected land in the country.
Follow two coffee farmers as they go about their day in Honde Valley, Zimbabwe, which is known for its prized Arabica coffee.
With world hunger reaching its highest peak since 2006, solutions addressing each link in the food system are essential. Drawing from TechnoServe's work across value chains with a range of public and private partners, we are highlighting the latest challenges, insights, and promising approaches in the current effort to prevent widespread food insecurity and build greater long-term resilience.
Follow coffee farmer Noella Rwizibuka and her family as they go about their day in the Democratic Republic of the Congo.
Emerging technology solutions combining aerial and phone imagery with machine learning could solve long-standing challenges in getting accurate, timely data for trade and investment decisions in the global nut and dried fruit industry.
