About this document
Reinforcement Learning For Intelligent Trajectory Optimization in Precision Irrigation by a38291256 is a document available to read on EtoBox.
The document presents a novel framework utilizing reinforcement learning for optimizing irrigation in precision agriculture, comprising three stages: intelligent irrigation scheduling, image-based crop field mapping, and deep reinforcement learning for path optimization. The system adapts to real-time environmental changes, enhancing water efficiency and crop yield compared to traditional methods. Key contributions include the use of XGBoost for scheduling, grid-based mapping for localized irrigation, and a
- Author
- a38291256
- Language
- EN