IHC 2022

International Horticultural Congress

IHC 2022 AT A GLANCE

Program

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IHC 2022 is organized into 3 key pillars:1-A high scientific level with a unique opportunity to gathering, meeting and debating on the main topics:Competitiveness and skills for the Horticultural sectorsFood, Public Health & Well-beingSustainability of production systemsClimate change mitigation and adaptation solutions2-Making value from Research - Education - IndustryThe IHC2022 will be an opportunity to boost links between Research, Education and Industry in order to facilitate the transfer and application of research for industry. It is also the place to motivate and encourage young minds in Horticulture for the future.3-Developing international collaborations, in particular between South and North. Promoting experience - sharing and bringing together different types of horticulture.100 countries represented2000 delegates25 symposia2000m2 of exhibition

International Horticultural Congress 2022

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S18 - Session O1 - 3D Imaging

Information

Symposium including this Oral session

S18 III International symposium on mechanization, precision horticulture, and robotics: precision and digital horticulture in field environments

Oral presentations of this Oral session

S18 - Session O1 - Keynote: Towards Digital Twins for Horticulture: Coupling Data-intensive Phenotyping with Functional-Structural Plant Models

S18 - Session O1 - Analysing the effect of leaf area and crop load on fruit size by means of 3D point cloud

S18 - Session O1 - Testing the suitability of a terrestrial 2D LiDAR scanner for 3D canopy characterization of narrow vineyards to optimize the spraying process of pesticides

S18 - Session O1 - Detection of ripening stage of tomato by means of 3D fruit point cloud

S18 - Session O1 - High throughput phenotyping of architectural traits of a core collection of apple trees from airborne LiDAR

S18 - Session O1 - Leaf area estimation of strawberry plants using commercial low-cost LiDAR

S18 - Session O1 - Combining 3D structural features and multimodal fusion data to correct illumination effect of plant multispectral point clouds

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