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Horticulture

In horticulture, computer vision plays a vital role by enabling precise plant monitoring and phenotyping through image analysis. Robotics, equipped with advanced vision systems, offer the capability to automate tasks like precision pruning, harvesting, and sorting of fruits and vegetables. Machine learning algorithms enhance decision-making in horticulture, optimising irrigation, crop management, and resource allocation, fostering sustainable and efficient practices in greenhouses.

  • Two female employees harvest gerbera flowers in modern greenhouse horticulture
    Joyride Horticulture re-establishes greenhouse horticulture as an attractive and safe working environment

    "Today's greenhouses contain more and more technology and much more is automated. These are good developments, but we mustn’t forget the human factor in these developing greenhouses," says robotics researcher Anouk Leunissen.

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  • Fruit harvesting robot places harvested apple on conveyor belt in the apple orchard
    Current state of agrifood robotics: three opportunities

    In May this year, the book 'Advances in agri-food robotics' was published. The book describes the progress that agrifood robotics has made in recent years and whether robotics is crucial to feeding 9 billion mouths in the future. Prof. Eldert van Henten from Wageningen University & Research co-edited the book. What does he think are the main advances that have been made?

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  • Crates full of harvested apples in an orchard
    Apple Picking Robot: Learning from Demonstration

    Could farmers instead of programmers be training robots to perform certain tasks? PhD researcher Robert van den Ven investigated the use of Learning from Demonstration to teach a robot all the motions needed to harvest an apple.

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  • Tea plants in a greenhouse of Local Tea in Zundert Netherlands with WUR Vision+Robotics' test setup for a mobile tea factory
    Revolution in tea: building a smart tea machine

    Visiting a tea plantation in Zundert, the Netherlands, where Vision+Robotics researchers are developing a smart, mobile tea machine.

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  • 3D plant reconstruction image on laptop screen for phenotyping
    New data processing pipeline crucial for plant phenotyping

    The combination of advanced camera techniques and automated data processing should soon enable Vision + Robotics to offer extremely reliable and fast phenotyping to other researchers and breeding companies.

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  • Pericentric lens image young plant roots
    AI to transplant only healthy young plants into greenhouse

    Machine learning and plant phenotyping techniques could help make selection and sorting of healthy young plants easier for growers.

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