FAQs

1. What are Artificial Intelligence (AI) and Machine Learning (ML)?
AI refers to technologies that allow machines to simulate human intelligence, such as learning, reasoning, and problem-solving. ML is a subset of AI that enables systems to learn from data and improve over time without being explicitly programmed.

2. How can AI be used in the agri-food sector?
AI and ML can identify trends in weather, analyze crop yields, support decision-making, and detect anomalies. These applications help increase efficiency and sustainability in agri-food operations.

3. Do I need a technical background to take part in this training programme?
No! BridgeAI is designed for a broad range of professionals. It offers beginner-friendly content as well as deeper resources for advanced learners.

4. What topics are covered in the training programme?
The training includes:

• AI and Machine Learning Fundamentals: Intro to core concepts and real-world agri-food applications.
• Data Management in Agri-Food: Types, collection, and importance of data quality and governance.
• Computer Vision and Imaging Technologies: Using visual data for monitoring and automation.
• Forecasting and Anomaly Detection: Leveraging data for predictions and identifying irregularities.
• Data Governance, Ethics, and Compliance: Understanding responsible and regulatory-compliant AI use.

Each module includes real examples, discussions, and hands-on tasks.

5. Who is this training for?
Designed for all in the agri-food sector: farmers, producers, supply chain managers, and business leaders.

6. Is the training online or in-person?
Both options are available—choose what works best for your learning style and schedule.

7. Does the BridgeAI training contribute to my BASIS qualification?
Yes, BASIS points have been applied for. Details will be updated soon.

8. Who delivers the training?
Experts from Ricardo, on behalf of Innovate UK, combining AI and agricultural knowledge for practical training.