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.
Standardizing data is central to the success of the Global Crop Improvement Network to improve global integration of crop research.
The breeding and dissemination of improved crop varieties has been a central feature of CGIAR research since the earliest days of the Green Revolution.
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.
To fully take advantage of the vast amount of geospatial data from new sources, we should invest in ourselves on the AI and machine learning techniques, or develop a technical partnership.