AI-Powered Systems for Sustainable Agriculture and Smart Farming
This special session is organised and supported by the following educational partner
Al-Farabi University
Session Chair:
- Prof Mazin Sameer AlHakeem, Al-Farabi University, Baghdad, Iraq
Session Co-Chairs:
- Dr Mazin Abed Mohammed, Al-Farabi University, Baghdad, Iraq.
- Prof Mohd Khanapi Abd Ghani, Universiti Teknikal Malaysia Melaka, Malaysia.
- Prof Seifedine Kadry, Noroff University College, Kristiansand, Norway.
- Dr M. Attique Khan, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia.
- Dr Abdullah Lakhan, Dawood University of Engineering and Technology, Sindh, Pakistan.
Synopsis:
This special session aims to gather cutting-edge research and applications of AI in agriculture to improve the United Nations environmental sustainable development goals.
With global food security and sustainable farming practices becoming critical, AI and industry 4.0 technologies such as deep learning, reinforcement learning, machine vision, edge computing, and IoT-enabled sensors are revolutionising agriculture. This session will provide a platform for researchers, practitioners, and industry experts to present their latest work on intelligent solutions that enhance productivity, sustainability, and efficiency in agricultural systems.
Topics:
Therefore, this special session invites authors to submit high-quality research papers on emerging technology for medical/clinical application, covering topics which include (but are not limited to) the following:
- Deep Learning and Computer Vision for Crop and Soil Monitoring
- Intelligent Decision Support Systems for Precision Agriculture
- AI-Based Pest and Disease Detection
- Smart Irrigation and Fertilisation Systems using IoT & AI
- Reinforcement Learning for Autonomous Agricultural Robots
- Blockchain for Transparent Agricultural Supply Chains
- Federated Learning for Cross-Farm Data Sharing
- Multi-Agent Systems in Agricultural Operations
- Remote Sensing and UAVs in Smart Farming
- Edge-AI in Low-Power Agricultural Devices
- AI for Agricultural Forecasting and Risk Management
- Sustainable Agricultural Practices using AI Optimisation
- NLP for Agricultural Chatbots and Advisory Systems
- Ethical AI and Data Privacy in Agricultural Technology
Paper Submission
Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system