Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
0.006 was the average DID effect on mean NDVI for citrus, indicating productivity improvement.
The monthly NDVI signal shows greater variation in annual crops such as cotton and greater stability in perennial crops such as citrus.
NDVI-based remote sensing is a valuable, cost-effective proxy for yield to assess temporal dynamics of impacts.
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...
4 hectares represents the minimum plot size (excluding cattle production) from which geolocation must be provided using polygons with enough latitude and longitude points to outline the perimeter of the land (Sarmiento, 2025).
6 decimal places minimum represents the precision required in latitude and longitude coordinates to identify the exact geographical location of land plots under the EUDR regulation (Sarmiento, 2025).
85% more effective are agricultural extension programs that incorporate digital components for technology transfer in Latin America, being fundamental to materialize innovations and connect research with producers according to CAF evaluations (Velásquez, A., 2025).
45% could increase Latin American agricultural productive efficiency through the coordinated implementation of digital transformation strategies, including adapted mechanization and robotics, digital innovation, and artificial intelligence according to CAF projections (Velásquez, A., 2025).
100% of large-scale U.S. agricultural producers use satellite information, much of it generated by NASA, to feed their automated precision agriculture systems for irrigation, fertilization, and other activities (Velásquez, A., 2025).
88% de los agricultores ven la mejora en los rendimientos de los cultivos como motivación para usar aplicaciones digitales, 85% el ahorro de costos y 84% la mejora en la calidad de los cultivos (Bayer AG, 2024).
