Presentations

  • Machine Learning and Sensor Fusion For Precision Farming

    Presentation: Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.

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  • Advances in the LemnaTec software to improve the analysis of important crop traits

    Presentation: Advances in the LemnaTec software to improve the analysis of important crop traits

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  • Addressing the interplay of Genome, Environment and Phenome

    Presentation: Addressing the interplay of genome, environment and phenome

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  • What do we learn from automated plant phenotyping?

    Poster: Substantial progress in automated and non-invasive plant phenotyping technology during the recent two decades

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  • High throughput 3D plant analysis - precise inspection on organ and field scale

    Poster: High throughput 3D plant analysis - precise inspection on organ and field scale

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  • Plant organ phenotyping enables analysing developmental processes and diurnal changes

    Poster: Plant organ phenotyping enables analysing developmental processes and diurnal changes

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  • Automated analysis of disease symptoms using LemnaTec Scanalyzer

    Poster: Automated analysis of disease symptoms using LemnaTec Scanalyzer

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You might also be interested in:

Phenotyping

Phenotypes are those properties of organisms that make up their appearance, essentially dimensions, morphology, and colour.

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Traits

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.

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Environmental factors determine phenotypic appearance

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Collaborations in Science and Technology

LemnaTec is committed to a broad spread of collaborations that encompass industry, research and academia.

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References

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.

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