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Topic Title：
Intelligent Automation for Smart Agriculture: From Sensor Networks to Decision Support Systems
Submission Deadline:
5 December 2023
Topic Editors:
Dr. Muhammad Shafiq (IEEE Senior Member), Distinguished Associate Professor at Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China
Prof. Ihsan Ali (IEEE Senior Member), University of Nebraska, Omaha, USA
Prof. Gautam Srivastava (IEEE Senior Member), Brandon University, Brandon, Canada
Prof. Tian Zhihong (IEEE Senior Member), Guangzhou University, Guangzhou, China
Prof. Jingheng Zhang, Hangzhou Dianzi University, Hangzhou, China
Assistant Prof. Mukhtar Ahmed, PMAS Arid Agriculture University Rawalpindi, Pakistan
Summary:
The agricultural industry must produce more food while ensuring environmental sustainability and efficient resource usage to meet the global population's demand, set to hit 9.7 billion by 2050. Advanced technologies and automation are critical solutions for this challenge. Sensor networks, machine learning, and decision support systems integrated into intelligent automation are promising approaches that can help address this challenge. These technologies have the potential to transform the way agriculture is practiced and lead to improved crop yields, reduced environmental footprint, and optimized food production.
Cross-disciplinary collaboration between researchers, farmers, and technology experts is necessary to develop and implement intelligent automation solutions for smart agriculture. The latest advancements in sensor technologies and machine learning techniques can efficiently analyze and interpret the collected data.
The special issue aims to investigate the latest developments in intelligent automation for smart agriculture, focusing on sensor networks and decision support systems.
The issue will cover topics such as designing and implementing sensor networks for monitoring crop growth and environmental conditions, machine learning algorithms for analyzing sensor data, and case studies of intelligent automation systems in real-world agricultural settings. This special issue allows researchers and practitioners to share their findings and perspectives for enhanced agricultural productivity, sustainability, and environmental performance.
Authors are invited to submit original research articles, review articles, or case studies. The papers should not have been previously published or are currently under review for any other journal or conference. All submissions will be peer-reviewed to ensure high-quality contributions.
Keywords:
1. Intelligent sensing technology of crop information
2. Smart sensor networks for precision agriculture
3. Models for monitoring and predicting crop growth and stress state
4. Autonomous robots for farm operations
5. Decision support systems for crop management
6. Machine learning techniques for yield prediction
7. Optimization algorithms for resource management
8. Real-time monitoring and control of agriculture systems
9. Data Analytics for agricultural decision-making
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