Overview
MSc research project developing a reinforcement learning based decision support system for smart agriculture using Linux-based RL algorithms on a crop simulation environment.
This MSc research project focuses on developing a reinforcement learning based decision support system for smart agriculture.
Key components:
- Linux-based RL algorithm development on gym-dssat-pdi crop simulation environment
- Implementation and evaluation of PPO, SAC, Deep Q learning, DDPG, and TD3 algorithms
- Markov Decision Problem definition for agricultural decision-making
- Reward function design for optimizing crop yield and resource usage
The project aims to provide farmers with AI-powered recommendations for optimal crop management practices, including irrigation, fertilization, and pest control.
Project Articles
Reinforcement Learning for Agricultural Decision Support Systems
Dec 5, 20227 min read
An exploration of how reinforcement learning can optimize agricultural practices through intelligent decision support systems.
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Technical Implementation of Reinforcement Learning for Crop Management
Oct 5, 20237 min read
A detailed technical overview of implementing reinforcement learning algorithms for agricultural decision support systems.
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