February 2024 issue

Volume 69, Issue 2

Agriculture is undergoing a “smart” and “digital” revolution. The new technologies of the digital age include systems and technology that have become common in our daily lives such as unmanned aerial vehicles, high-resolution remote sensing, decision support systems, robots, algorithms based on artificial intelligence (AI), and machine learning (ML). In this issue, we highlight research from a special section in Agronomy Journal on “Machine Learning in Agriculture.” Specifically, we will look at improving soil greenhouse gas predictions using ML and building trust in AI farming tools.