Challenges and opportunities of establishing data-driven agronomic services
Challenges and opportunities of establishing data-driven agronomic services to small-scale farmers across the world
Daniel is a scientist at the International Center for Tropical Agriculture (CIAT) and is the coordinator of the Data-Driven Agronomy Community of Practice of the CGIAR Platform for Big Data in Agriculture. He specializes in using data mining techniques to help decision-makers e nhance and accelerate the impact of agricultural research. In recognition of this work, the United Nations selected Daniel as one of two winners of its Big Data Climate Challenge in 2014. He was also selected by the World Bank as one of the winners of the first World Bank Group BigData Innovation Challenge in 2015; in 2017 led one of the teams whose work was selected by the United Nations Climate Change secretariat as one of the winners of the Momentum for Change award and more recently led the team winner of the Syngenta 2018 Crop Challenge in Analytics.
January 28, 2019