The Phenomics Programme develops high-throughput phenotyping across livestock, insects, crops and agrobiodiversity. We combine computer vision, hyperspectral imaging, wearable and environmental sensors, and machine learning to extract quantitative traits from images, video, audio and sensor time series. We then validate these traits against biological reference measures and estimate their genetic parameters, so they can be used in genetic evaluation, precision management, welfare assessment and biodiversity monitoring.
High-throughput phenotyping | Computer vision and AI for trait extraction | Sensor and IoT data pipelines | Trait definition and genetic validation | Insect phenomics | Livestock health and welfare phenotyping | Crop and biodiversity phenotyping
SmartLarva: AI and sensor monitoring of black soldier fly larval development
FLYgene: genomics and breeding of black soldier fly
DigiSOW: digital and genomic tools for sow production
DWARPH: experimental metaphenomics for plant responses
GMG: international standards and quality control for phenotyping
Automated Monitoring of Insects (AMI)
EU COST Action CA22112 (EU-LI-PHE) | EU COST Action CA22140 (Insect-IMP) | Phenomics Working Group
We welcome partners from industry and academia, and students looking for MSc or PhD projects in phenotyping, computer vision or sensor data. Please contact the programme leader.
