Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
The combined strategy of using surveys and satellite images allows for measuring mechanisms (adoption, credit) and returns, offering consistent evidence.
The monthly NDVI signal shows greater variation in annual crops such as cotton and greater stability in perennial crops such as citrus.
Annual NDVI (average and maximum) is used to observe pre- and post-intervention trends for treated and control units. The longitudinal approach captures the "before and after" dynamics of the program.
NDVI-based remote sensing is a valuable, cost-effective proxy for yield to assess temporal dynamics of impacts.
As a national pilot, PRODAF emphasized rigorous evaluation of productive and economic impacts.
262 (cotton) and 190 (citrus) plots were georeferenced to build NDVI series.
The study conducts a comprehensive review of the use of predictive models to strengthen food security in Latin America, with an emphasis on Colombia. It analyzes 65 studies published between 2014 and 2024 that apply algorithms such as Random Forests and Neural Networks to anticipate agricultural yields, manage climate risks, and optimize resources. The results show that agricultural, climatic, and...
The study conducts a systematic review of the methods applied in prospective studies for strategic planning of agri-food chains in Latin America and the Caribbean between 2010 and 2021. It examines the most widely used methodologies (such as MACTOR, MICMAC, and Delphi), their contributions to decision-making, and the challenges that remain in institutionalizing regional foresight. It also highligh...
The agrifood supply chain of Latin America and the Caribbean (LAC) stands out for its resilience to the COVID-19 pandemic, and multiple studies have been conducted to analyze the differential impacts of the pandemic across firms and sectors. Less is known regarding the strategies implemented for business continuity during this catastrophic shock. The purpose of this study was to analyze the respon...
Survey of 130 goat producers in Piura (Marcavelica, Lancones, La Brea) found 56.9 % recognized climate change, perceiving impacts on temperature (69.9 %), rainfall (100 %), soil productivity (79.2 %), and water availability (50 %). Four adaptation capacity clusters emerged: excellent (6 %), good (23 %), fair (75 %), and poor (25 %) (Temoche et al., 2024).
