Phenotyping

The Alliance-developed 30% faster-cooking beans using the BRIO method, advanced for release in six African countries

ARTEMIS: Digital solutions for climate-resilient agriculture

Artemis: AI-enabled smartphone phenotyping for faster, accurate data collection in climate-resilient breeding

Uso de fenotipado para optimizar el manejo en finca y combatir los retos del cambio climático y las enfermedades

Fruit-omics: From the 2DE era, over shotgun MS, towards single cell omics.

BrAPI v2: Real-world applications for data integration and collaboration in the breeding and genetics community

How inclusive design is shifting power to farmers and closing the seed adoption gap 

Laurens Goormachtigh

Research Team Leader

Post-composing ontology terms for efficient phenotyping in plant breeding

Digital descriptors sharpen classical descriptors, for improving genebank accession management: A case study on Arachis spp. and Phaseolus spp.

LysipheN: a gravimetric IoT device for near real-time high-frequency crop phenotyping: a case study on common beans

Root phenotyping in tropical forage grasses and potential for soil organic carbon accumulation

A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses

Adopción de nuevas metodologías de evaluación fenotípica para conocer la respuesta de genotipos de urochloa humidicola al ataque de Aeneolamia varia (Hemiptera: Cercopidae)

AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach

Phenomics for genebanks: Leveraging diversity towards new phenotypes

Insect damage assessment of tropical grasses under field conditions using a modular pipeline with image processing and deep learning techniques

Participatory AI for inclusive crop improvement

Advances in QTL identification for resistance to spittlebug in an allotetraploid interspecific Urochloa mapping population

Breeding for resistance to spittlebugs (Hemiptera: Cercopidae) in Urochloa grasses: integrating high-throughput phenotyping and molecular techniques

AI-powered tool for spidermite damage assessment in tropical grasses

AI tool for root segmentation and analysis in tropical grasses

Conservation and use of genetic resources (Genebanks)

Adquisición de datos para modelación con inteligencia artificial aplicada a la agricultura: Mejoramiento genético de forrajes

Potenciando la investigación agrícola con modelos de inteligencia artificial

Geographic-scale coffee cherry counting with smartphones and deep learning

Bringing Diverse Bananas to Market

Bruno and yellow beans: Artificial intelligence in the field

Linking photosynthesis and yield reveals a strategy to improve light use efficiency in a climbing bean breeding population

Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and Phaseolus spp.