The CSIRO are building towards integrating Artificial Intelligence (AI) in agricultural food innovation. Their MAGDA++ platform has predictive capabilities to advance future food production quicker.
This platform utilises AI to predict the yield, taste and functional properties of plant proteins. Working with different industries, the CSIRO aim to provide AI-driven solutions that are practical, scalable and aligned with market needs.
With rising global challenges, the integration of AI in food innovation can combat issues such as health, sustainability and security. This benefits the global environment and future food producers.
AI is already being put into practice to support protein innovation. For example, precision agriculture techniques use AI techniques in real time to optimise care for the crops for enhanced yields and higher quality produce. They are applied for:
- Monitoring soil health.
- Predicting weather patterns.
- Detecting pests in real time.
With machine learning algorithms, sustainable food systems can be obtained using fewer resources. By analysing datasets to predict the performance of crop growth in different conditions, farmers can adapt to resilient crop selection that reduces environmental footprints.
Applying AI to ever-growing data sets opens doors for sustainable products to be identified and developed, lessening pressures on producers and the planet’s resources.