Science

The Science of Plant Phenotype Analyses

Phenotypes are the most obvious but at the same time the hardest to quantify properties of plants, and broader speaking of […]

Science2021-07-09T14:39:54+02:00

Phenotyping small emerging seedlings

Phenotyping small emerging seedlings

In plant growth and performance studies as well as in seed quality assessments, the earliest growth stages in seedling emergence, cotyledon unfolding, and […]

Phenotyping small emerging seedlings2021-07-08T18:16:03+02:00

Phenotyping regenerants in plant tissue culture

Phenotyping regenerants in plant tissue culture

Rising plants from tissue culture is a frequent application in research, plant propagation, plant breeding, and genetic engineering. Tissue cultures can […]

Phenotyping regenerants in plant tissue culture2021-07-08T13:48:50+02:00

Combined multispectral and fluorescence imaging

Combined multispectral and fluorescence imaging

Phenotyping does not stop at morphological analyses of plants, but it increasingly addresses the physiology. In physiology, signaling processes are key for […]

Combined multispectral and fluorescence imaging2021-07-08T16:47:51+02:00

Imaging and Artificial Intelligence for Apple Scab Sensing

Optical Sensing and Artificial Intelligence for Apple Scab Monitoring

Optische Sensorik und künstliche Intelligenz zur Erfassung von Apfelschorfsporen

LemnaTec is developing monitoring systems for apple scab spores. These […]

Imaging and Artificial Intelligence for Apple Scab Sensing2021-06-09T14:49:26+02:00

Literature example – Phenotyping cherry gene pools

Application example – Phenotyping cherry gene pools

Plant phenotyping with LemnaTec is much more than large-scale conveyor-based installations in greenhouses. At laboratory level, using manually operated imaging cabinets combined […]

Literature example – Phenotyping cherry gene pools2021-05-31T09:21:02+02:00

Using machine learning in phenotyping and seed testing

Using machine learning in phenotyping and seed testing Digital phenotyping is well known as non-invasive imaging-based method to obtain data on plant phenotypic traits. Likewise, seed testing methods are available […]

Using machine learning in phenotyping and seed testing2021-05-17T16:04:02+02:00