Data or statistical facts on the situation and perspectives of agri-food systems and the impact of policies
The study assessed how precision technologies—such as sensors, GIS, and drones—relate to agricultural input management in the San Martín region of Peru. Based on surveys of 120 producers, it found that productivity and sustainability positively influence efficient input management, while costs, limited infrastructure, and resistance to change are the main barriers to their adoption
This study evaluates the effect of different bio-ferments on the morphology and quality of cacao (Theobroma cacao L.) seedlings under nursery conditions. Treatments were compared based on parameters such as height, stem diameter, number of leaves, and seedling quality. The results show significant improvements in growth when bio-ferments are applied, highlighting their potential as an agroecologic...
This study evaluates the impact of intercropping maize with native beans on the morphological growth, yield, and nutritional composition of forage intended for silage in the Peruvian Amazon. Treatments between maize monoculture and bean intercropping are compared, as well as different phenological stages (R2, R4, and R5). The results show improvements in protein, fiber, and productive parameters o...
56 % of beneficiaries reported adopting at least one new agricultural practice or technology after receiving the smart subsidy and technical assistance.
0.293 is the increase in technological adoption (citrus), which is highly significant.
262 (cotton) and 190 (citrus) plots were georeferenced to build NDVI series.
Certified seeds, agrochemicals, and IPM financed to close technology gaps in cotton.
21% is the increase in the probability of technology adoption among beneficiaries versus controls, estimated via IPW.
The main agricultural, biotechnological, and post-harvest strategies for reducing cadmium (Cd) concentrations in the cultivation and processing of cocoa (Theobroma cacao L.), one of Latin America's most representative products, are reviewed. The study, focusing on Ecuador and other countries that produce fine aroma cocoa, evaluates techniques such as microbial bioremediation, phytoremediation with...
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...
