Digital Tools & AI for Fisheries Monitoring and Traceability

1. Training Introduction

Digital transformation is rapidly reshaping the fisheries sector. Technologies such as mobile data collection, satellite monitoring, electronic catch documentation, blockchain-based traceability, and artificial intelligence (AI) are increasingly used to improve transparency, sustainability, compliance and market access.

The Digital Tools & AI for Fisheries Monitoring and Traceability training programme is designed to equip participants with foundational knowledge and practical understanding of digital systems and AI-enabled tools used in fisheries data collection, monitoring, control, surveillance, and traceability across fisheries value chains.

 

2. Training Objective

The objectives of this training programme are to:

• Introduce digital technologies and AI concepts applied in fisheries
• Build capacity in fisheries monitoring, data collection, and traceability systems
• Improve understanding of transparency, compliance, and sustainability tools
• Promote responsible fisheries management through digital innovation
• Prepare participants for digital roles and further specialization in fisheries technology

 

3. Targeted Group

This programme is suitable for:

• Fisheries officers and monitoring personnel
• Aquaculture and fisheries professionals
• Quality assurance and traceability officers
• NGO and development practitioners
• Students and graduates in fisheries, ICT, or environmental sciences
• Youth and professionals interested in digital fisheries solutions

Basic digital literacy is recommended; no advanced AI background is required.

 

4. Course Duration

• Total Modules: 8
• Training Period: 2 weeks
• Total Contact Hours: 50–70 hours
• Mode of Delivery: Classroom-based, online, or blended learning

 

5. Training Methodology

The programme uses applied, learner-centered, and technology-focused approaches, including:

• Interactive lectures and multimedia presentations
• Demonstrations of digital tools and platforms
• Case studies on fisheries monitoring and traceability systems
• Practical exercises using sample datasets and tools
• Group discussions and problem-solving sessions
• Assignments, quizzes, and final assessment

 

6. Course Content

Module 1: Introduction to Digital Fisheries and Traceability

• Digital transformation in fisheries
• Importance of monitoring and traceability
• Overview of digital fisheries systems

Module 2: Fisheries Data and Digital Data Collection Tools

• Types of fisheries data
• Mobile data collection and e-logbooks
• Data quality, accuracy, and validation

Module 3: Monitoring, Control, and Surveillance (MCS) Technologies

• Vessel monitoring systems (VMS) and tracking tools
• Remote sensing and satellite technologies
• Community-based and digital monitoring approaches

Module 4: Introduction to Artificial Intelligence in Fisheries

• Basic concepts of AI, machine learning, and automation
• Applications of AI in fisheries monitoring
• Benefits and limitations of AI tools

Module 5: Digital Traceability Systems and Platforms

• Catch documentation and traceability (CDT) systems
• Blockchain and digital ledgers in fisheries
• Traceability from harvest to market

Module 6: Data Analysis, Visualization, and Decision Support

• Basic data analysis and interpretation
• Dashboards, maps, and visualization tools
• Using digital data for fisheries management decisions

Module 7: Compliance, Transparency, and Ethical Considerations

• Digital tools for compliance and reporting
• Data privacy, security, and ethics
• Inclusion and fairness in digital fisheries systems

Module 8: Innovation, Case Studies, and Future Pathways

• Case studies of digital and AI-driven fisheries systems
• Emerging technologies and trends
• Career pathways and innovation opportunities in digital fisheries

 

7. Expected Outcomes

Upon successful completion of the programme, participants will be able to:

• Understand key digital and AI tools used in fisheries monitoring
• Participate in digital data collection and traceability systems
• Explain how AI supports fisheries sustainability and compliance
• Interpret basic fisheries data for monitoring and reporting
• Support transparent, responsible, and technology-driven fisheries management

 

8. Certificate of Completion

Participants who:

• Successfully complete all 8 modules
• Participate in practical exercises and assessments
• Demonstrate satisfactory understanding of digital fisheries tools

will be awarded a:

Certificate of Completion in Digital Tools & AI for Fisheries Monitoring and Traceability

Issued by:

FOTADE Training, Research and Resource Development Centre

This certificate recognizes the participant’s foundational competence in applying digital and AI-based tools to fisheries monitoring, traceability and sustainable management