TY - DATA
T1 - 4th Autonomous Greenhouse Challenge: Pre-trial Dwarf Tomato Measurements and Images
PY - 2024/06/17
AU - Isabella Righini
AU - Bart Marrewijk, van
AU - Georgios Ntakos
AU - Pinglin Zhang
AU - Guido Jansen
AU - S.C. (Stef) Maree
AU - monique bijlaard
AU - H.F. (Feije) de Zwart
AU - S. (Silke) Hemming
UR -
DO - 10.4121/e1ee9de9-6ce9-4502-a37c-34b5b1372bed.v1
KW - Autonomous Greenhouse Challenge
KW - computer vision
KW - dwarf tomato
KW - non-destructive
KW - destructive
N2 - This dataset was generated in the peparation of the 4th International Autonomous Greenhouse Challenge in the experimental facilities of the Greenhouse Horticulture Business Unit in Bleiswijk, The Netherlands in 2023. Information regarding the competition can be found here http://www.autonomousgreenhouses.com/
This dataset was collected during a two month dwarf tomato cultivation in a research greenhouse compartment (96 m2), located in Bleiswijk (The Netherlands). The dataset contains raw and processed data. Raw data were collected via climate measuring boxes, manual registrations, outside weather station and two RGBD cameras. This dataset was then used for two online tasks of teams participating in the Online part of the 4th Autonomous Greenhouse Challenge.
The dataset contains:
- Single_Plant_Camera.zip: 479 Individually RGBD-imaged plants, as well their plant traits (height, fresh weight, leaf area, number of red fruits). This dataset was used for the "Part A Computer Vision" challenge.
- Canopy_cam.zip: A canopy RGBD camera taking images 4 times a day over the course of two months to monitor the growth process.
- Timeseries.zip: Manual plant measurements (destructive and non-destructive) over the course of several weeks throughout the cultivation. As well as 5-minute interval greenhouse climate and weather data.
ER -