The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15023088

S. (Silke) Hemming; H.F. (Feije) de Zwart; Elings, A. (Anne); monique bijlaard; Bart Marrewijk, van et. al. (2021): 3rd Autonomous Greenhouse Challenge: Online Challenge Lettuce Images. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15023088.v1

Dataset

• Horticultural Crops
• Artificial Intelligence and Image Processing
• Mechanical Engineering
• Horticultural Production

Artificial Intelligence, autonomous greenhouse, Autonomous Greenhouse Challenge, computer vision, Horticulture, image processing, Lettuce, non-destructive sensing, sensors

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by S. (Silke) Hemming , H.F. (Feije) de Zwart , A. (Anne) Elings , monique bijlaard , Bart Marrewijk, van , Anna Petropoulou

The dataset was generated for the needs of the 3rd International Autonomous Greenhouse Challenge in the experimental facilities of the Greenhouse Horticulture Business Unit in Bleiswijk, The Netherlands in 2021. Information regarding the competition can be found here http://www.autonomousgreenhouses.com/

The dataset contains following folders:

Ground Truth: includes [json] with all GT information

Depth Images: folder with 388 depth images of 16 bit in [png] format

RGB Images: folder with 388 RGB images of 3x8 bit in [png] format

• 2021-08-18 first online, published, posted

4TU.ResearchData

application/x-7z-compressed, application/zip, png, json

Wageningen University & Research, Greenhouse Horticulture Business Unit