This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments.
The adoption of modern technologies in agriculture is crucial for improving productivity of poor farmers and poverty reduction. However, the adoption of modern technology has been disappointing. The role of value chains in technology adoption has been largely ignored so far, despite the dramatic transformation and spread of modern agri-food value chains. We argue that value chain organization and innovations can have an important impact on modern technology adoption, not just by downstream companies, but also by farmers.