Smart agriculture refers to the use of technologies such as IoT, sensors, location systems, automation, robotics and AI/ML on farms. The main goal of smart agriculture is greater efficiency and ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...