NDRL: Cotton Irrigation and Nitrogen Application with Nested Dual-Agent Reinforcement Learning

This article describes a research paper applying Nested Dual-Agent Reinforcement Learning (NDRL) to optimize cotton irrigation and nitrogen application. The focus is on using AI to improve agricultural practices. The paper likely explores the effectiveness of NDRL in this specific domain, comparing its performance against other methods. The use of reinforcement learning suggests an attempt to create an adaptive system that can learn and improve over time based on environmental feedback.