This repository presents my Ph.D research on Intelligent Smart Farming Management using Internet of Things (IoT) and Artificial Intelligence (AI) technologies.

The research aims to develop an intelligent decision-support system for sustainable agriculture by integrating environmental sensing, machine learning prediction, and smart farm management mechanisms.

• Develop IoT-based agricultural sensing infrastructure
• Apply AI and machine learning models for crop prediction
• Design intelligent decision-support mechanisms
• Improve sustainability and resource efficiency in farming systems

This research focuses on:

• Smart agriculture monitoring
• Sensor data acquisition using IoT devices
• AI-based analytics and prediction
• Edge and cloud computing integration
• Precision agriculture management

The proposed framework includes:

1. IoT Sensor Deployment
2. Data Collection and Transmission (LoRaWAN / IoT Network)
3. Data Processing and Storage
4. Machine Learning Model Development
5. Decision Support System Implementation

PhD-Smart-Farming-Research/
│
├── paper/              # Conference and research papers
├── docs/               # Research profiles and documentation
├── dataset/            # Experimental datasets (future)
├── models/             # AI/ML models (future)
└── README.md

🚧 Research in progress

• Initial conference paper submitted
• System architecture under development
• Experimental implementation ongoing

• Conference Paper (Under Review) — Available in /paper

• Internet of Things (IoT)
• Artificial Intelligence
• Machine Learning
• LoRaWAN Communication
• Edge Computing
• Smart Agriculture Systems

Suttidech Jittawisuttikul Ph.D Candidate — Computer Engineering Mae Fah Luang University

This project is licensed under the MIT License.