Remote Sensing Applications in Fisheries and Aquaculture

Dear Colleagues,

This Special Issue aims to explore the integration of artificial intelligence (AI) technology with remote sensing techniques in the fields of fisheries and aquaculture. The purpose of this Special Issue is to examine how AI can enhance the capabilities of remote sensing for improved monitoring, management, and sustainable development of marine resources.

The scope of this Special Issue encompasses a wide range of topics within the realm of fisheries and aquaculture, with a particular focus on the synergy between AI and remote sensing. It includes the use of AI algorithms for image analysis, data interpretation, and pattern recognition in conjunction with satellite imagery, aerial photography, and unmanned aerial vehicles (UAVs). The integration of AI into remote sensing applications holds great potential for enhancing the accuracy, efficiency, and effectiveness of data processing, extraction of relevant information, and decision-making processes.

In relation to other literature on the topic, this Special Issue serves as a platform for presenting the latest advancements and research findings in the combined use of AI and remote sensing in fisheries and aquaculture. It provides a comprehensive overview of the current state-of-the-art methodologies, techniques, and case studies that demonstrate the benefits and practical implications of this synergy. Through its interdisciplinary approach, this Special Issue bridges the gap between remote sensing technology and AI, encouraging collaboration between researchers from both domains.

By showcasing the significance of AI in remote sensing applications, this Special Issue not only expands the existing literature but also identifies research gaps and proposes future directions for further exploration. It critically assesses the opportunities, limitations, and challenges associated with leveraging AI technology in fisheries and aquaculture, providing insights for researchers, practitioners, and policymakers interested in utilizing these advanced technologies for sustainable marine resource management.

The research areas for AI in fishery information technology, beyond remote sensing applications, could include the following:

• Fishery resource management and prediction;
• Optimization of fishing gear design;
• Fish recognition and counting;
• Water quality monitoring and management;
• Fishing vessel navigation and autopilot;
• Fishery energy internet theory and technology;
• Statistical machine learning-based fishery weather stochastic simulation.

Prof. Dr. Xueqian Fu
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• remote sensing technology
• aquaculture management
• fishery resource assessment
• water quality monitoring
• ecosystem dynamics