Understanding farmers’ acceptance of digital technologies: A meta-analytic structural equation modeling approach based on the technology acceptance model
Fairgrounds in action: How the CGIAR forages research team is simplifying machine learning operations
Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV Imagery using machine learning approaches
Crop development with data-driven approach towards sustainable agriculture: Lifting the achievements and opportunities of collaborative research between CIAT and Japan
Development approach and evaluation of the Nutrient Expert software for nutrient management in cereal crops
Examining multi-functionality for crop yield and ecosystem services in five systems of agroecological intensification
