Application possibilities of artificial intelligence in grain trade

Abstract

Grain trade plays a key role in global food security, but it faces a number of challenges, including climate change, geopolitical conflicts, and market volatility. These challenges have led to increasing attention on the agricultural applications of artificial intelligence (AI). AI technologies (such as predictive analytics, automated logistics, and precision agriculture) are helping to increase efficiency, reduce losses, and enhance sustainability. The aim of this article is to examine the role of AI in grain trade and its future potential.