An overview of how CIAT is using data analytics to help farmers make better on-farm decisions.
Vietnam’s technology innovators and farmers convened at a workshop to gain a deeper appreciation of the challenges in the field on the one hand, and existing technology solutions on the other.
Data scientists need to be more serious about standardization, to make data interoperable, says Daniel Jimenez.
Daniel Jimenez on how Data-driven agronomy community of practice will advance data-driven agronomy to support the farmers, technicians and researchers committed to meet the Sustainable Development Goals.
Data unicorns are a myth — plain and simple. What any organization needs to do is to build a team of experts whose skills complement each other and work with external specialists if needed so they can make magic to develop real-world solutions.