For centuries, farmers have been isolated—geographically, economically, technologically. Big Data has the potential to transform agriculture in the 21st century and create a new global commons for agricultural knowledge that could allow farmers from Missouri to Myanmar to learn from one another.
Bigger Data, Smaller Farms: The Role of Big Data in Sustainable Intensification
Sustainable intensification is one of the areas of agricultural research that is being transformed by Big Data. Through initiatives like the CGIAR Platform for Big Data in Agriculture, researchers are helping farmers create complex accounting systems for their farms and increase productivity while decreasing the environmental impact of farming.
Agricultural Intelligence: What AI Can Do for Smallholder Farmers
Farmers have always been natural data scientists, conducting experiments and collecting data in their fields. Now, with the advent of Big Data, there are new opportunities to create information systems like the CGIAR Platform for Big Data in Agriculture that can make farming more efficient, profitable, and sustainable.
Building a Big Data Platform for Agriculture
The tools of Big Data hold a lot of promise for many industries including agriculture. But the expertise required to build a data management platform are still emerging. Dr. Medha Devare is an agronomist and data architect who is helping to lead the new CGIAR Platform for Big Data in Agriculture.
Is There an Algorithm to End World Hunger?
The tools of Big Data analytics have led to transformations in many sectors—from finance to politics to professional sports. What could these new approaches to data science do for agriculture? The new CGIAR Platform for Big Data in Agriculture is leading the way for these innovations in agricultural development, with over 8,000 researchers working to incorporate Big Data into farming research.
