Presentation: Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.
Presentation: Advances in the LemnaTec software to improve the analysis of important crop traits
Presentation: Addressing the interplay of genome, environment and phenome
Poster: Substantial progress in automated and non-invasive plant phenotyping technology during the recent two decades
Poster: High throughput 3D plant analysis - precise inspection on organ and field scale
Poster: Plant organ phenotyping enables analysing developmental processes and diurnal changes
Poster: Automated analysis of disease symptoms using LemnaTec Scanalyzer
Phenotypes are those properties of organisms that make up their appearance, essentially dimensions, morphology, and colour.
Non-invasive measurements with cameras and scanners capture a broad variety of traits in above-ground plant parts such as shoots, leaves, flowers or fruits.
LemnaTec is committed to a broad spread of collaborations that encompass industry, research and academia.
LemnaTec is cited in many publications relating to plant phenotyping and beyond. Several studies were published that comprise data generated with LemnaTec technology, and various papers refer to such methods and technology by citing them.