Colombia produces more sugar per month on one hectare of land than any other country. This privilege is due to the productivity of sugar cane grown in the Cauca River valley, where 14 processing plants operate nearly year-round to produce sugar, honey, bioethanol, and electrical energy. The cane is supplied by 2750 growers, owners of 75 percent of the 240 000 hecatres planted, and by the sugar mills themselves (25 percent of the area). The sugar cane chain provides more than 286 000 direct and indirect jobs.
Colombia produce más azúcar por mes en una hectárea de tierra que cualquier otro país. El privilegio se debe a la productividad de la caña de azúcar cultivada en el valle del río Cauca, donde 14 plantas procesadoras operan casi todo el año para producir azúcares, mieles, bioetanol y energía eléctrica. La caña es suministrada por 2750 proveedores, propietarios del 75 por ciento de las 240 000 hectáreas sembradas, y por los mismos ingenios o centrales azucareras (25 por ciento del área).
Nicaragua is the largest country in Central America, and agriculture is one of the engines of economic and social development. The agricultural sector contributes 16.1 percent of the Gross Domestic Product (GDP), 33 percent of formal employment and the food security of the population. There are 260 000 producers involved in agricultural production.
Nicaragua es el país más grande de América Central, y la agricultura es uno de los motores del desarrollo económico y social. El sector agrícola aporta el 16.1 por ciento del producto interno bruto (PIB), el 33 por ciento del empleo formal y la seguridad alimentaria de la población. Alrededor de la producción agropecuaria se integran 260 000 productores.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
Grown in Jamaica since the days of slavery, food yams are major staples in local diets and a significant non-traditional export crop. The cultivation system used today is the same as 300 years ago, with alleged unsustainable practices. A new cultivation system called minisett was introduced in 1985 but the adoption rate twenty four years later is extremely low.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
In recent decades, the confluence of different global and domestic drivers has led to progressive and unpredictable changes in the functioning and structure of agri-food markets worldwide.