VRAIN applies artificial intelligence to agriculture, developing solutions for crop management, disease detection, and resource optimisation. Research covers computer vision systems for early detection of plant diseases, intelligent sensors for precision agriculture, and decision support for sustainable farming.
The Plantillo device uses convolutional neural networks to detect up to 27 different crop diseases at early stages through image analysis, enabling preventive action before diseases spread and supporting more targeted treatment. Research also covers optimisation algorithms for water resource management in coastal agricultural areas, addressing challenges of water scarcity in those contexts.
Agricultural AI work at VRAIN combines deep learning for visual recognition, natural computing for bio-inspired optimisation, and multi-agent systems for coordinating precision agriculture operations.
Related Technological Offer
Services
- Reasoning — IoT integration for agricultural optimization, Prescriptive analytics for resource management
- Perception — Deep learning and visual AI for crop monitoring and disease detection
Related Research Areas
- Machine Learning and Deep Learning — Computer vision for crop disease detection, predictive models for yield optimization
- Natural Computing — Bio-inspired algorithms for agricultural optimization
- Intelligent Agents and Human-Centered AI — Multi-agent systems for precision agriculture coordination