The Mesoamerican Agroenvironmental Program (MAP-Norway) is a multi-dimensional rural development program implemented in Central America since 2009, working with smallholder families, producer organizations, governmental organizations, and regional governance platforms. To monitor, assess, and evaluate the effects of the program on its beneficiaries, MAP-Norway uses a series of indicators that allow project managers and donors to adapt and follow-up on the interventions.
In the Office du Niger large rice farming irrigation scheme in Mali, water management has been a permanent source of tension between the smallholder tenants and the administration. The transfer of tertiary canal maintenance to the tenant farmers was expected to improve water management but, in practice, that rather led to deterioration.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
The current deliverable (D6.2) is divided into two parts each corresponding to one of its two main audiences, namely:
Part 1 – Scientific Methodology
SALSA Deliverable 6.3 is described in the project Description of Action (DoA) as a single Policy Brief but has been delivered as a set of five documents. These consist of:
El proyecto CDAIS, implementado por FAO y Agrinatura con el apoyo financiero de la Unión Europea. sostiene la innovación en la agricultura a través del mejoramiento de las capacidades funcionales de los individuos, de las organizaciones y de los sistemas. Reúne a los diferentes socios y utiliza un ciclo de aprendizaje permanente para responder a los desafíos y oportunidades dentro y fuera de los “nichos de innovación” seleccionados en ocho países pilotos de América Central, África y Asia.
El proyecto CDAIS, implementado por FAO y Agrinatura con el apoyo financiero de la Unión Europea, sostiene la innovación en la agricultura a través del mejoramiento de las capacidades funcionales de los individuos, de las organizaciones y de los sistemas. Reúne a los diferentes socios y utiliza un ciclo de aprendizaje permanente para responder a los desafíos y oportunidades dentro y fuera de los “nichos de innovación” seleccionados en ocho países pilotos de América Central, África y Asia.
Complex problems are being approached through collaborations that cross sectors including businesses, nonprofits, public institutions, and academia. Social Network Analysis (SNA) methods have been adopted to help manage these large collaborations, and it is useful not only for exploring the network dynamics of the collaboration as a whole, but also for exploring where an individual organization lies within the network.
To establish an effective monitoring and evaluation system that would effectively measure progress towards achieving the project objectives and targets, different data collection methods including surveys, focus group discussions and participatory workshops were conducted. Data were collected to have an in-depth understanding of the constraints in the rice value chain and to identify intervention strategies for addressing the constraints through the value chain analysis approach.
In recent years, the international status of agriculture in the BRICS countries—Brazil, Russia, India, China and South Africa—has been continuously improved. In 2018, the gross agricultural production of the BRICS countries accounted for more than 50% of the world’s total. Further strengthening the developing cooperation of the BRICS countries is of great significance for ensuring global food security.