Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation
Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities
Crop development with data-driven approach towards sustainable agriculture: Lifting the achievements and opportunities of collaborative research between CIAT and Japan
Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry.
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
La inteligencia artificial y los conocimientos de los agricultores ayudan a incrementar los rendimientos del maíz
