Intelligent Sensing and Edge AI-Driven Systems for Precision Agriculture

Dear Colleagues,

Due to innovations in artificial intelligence (AI), big data analytics, the Internet of Things (IoT), edge-AI, and automation/robotics, which aim to improve productivity and quality, agriculture has advanced to smart agriculture. With the increasing demand for smart solutions, edge computing has gained momentum due to the need to move computation close to data sources. The increasing number of connected devices is also generating a significant volume of raw data directly on the edge. It is here that AI is promoting the real-time transformation of data. Powerful computational infrastructure and associated data analytics techniques have also played an instrumental role in enhancing robustness and reliability and expanding the practical application of sensing, edge-AI, and control technologies in all aspects of production agriculture. This Special Issue aims to promote a deeper understanding of major conceptual and technical challenges and facilitate breakthroughs in sensing, computer vision, edge-AI, and control systems for smart farming. The scope of this Special Issue includes, but is not limited to, the following topics:

• Computer vision for agricultural automation and control
• Edge-AI-enabled monitoring and decision support systems
• Computer vision systems for plant phenotyping
• IoT-based sensing for intelligent automation and controls
• Edge-centric collaborative learning for smart farming
• Optimization of real-time AI-based solutions on the edge

Dr. Azlan Zahid
Dr. Mazhar Sher
Dr. Chetan Badgujar
Guest Editors

Manuscript Submission Information

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