Image Data of Capsicum plant growth in Protected Horticulture: PC4C_CAPSI
  • Description

    The data set consists of colour images and depth images (RGBD) of capsicum plants, camera metadata, camera angles, and manually measured heights of a few selected plants. The Intel Relasense D415 camera is used on a camera platform to collect image data of the right side of one plant line and for three rooms with different light filters (diffused light, Smart Glass film, LLEAF film) in a glasshouse. The camera angle was measured for each data collection of a plant line and manually measured heights are available for ten selected plants per plant line. RGBD streams and their metadata are recoded as Rosbag(.bag) files, and manually measured camera angle, plant height and identified frame numbers for image frame extractions are saved in JSON (.json) files.

    This research was funded by two Future Food Systems Cooperative Research Centre (FFSCRC) projects, ‘IoT for Indoor Farming’ and ‘Automated Crop Monitoring for Protected Cropping Systems’ awarded to Prof Wen Hu and Prof Oula Ghannoum. NJ was supported by a scholarship funded by the FFSCRC and Western Sydney University.
    • - Start
      Data publication title Image Data of Capsicum plant growth in Protected Horticulture: PC4C_CAPSI
    • Description

      The data set consists of colour images and depth images (RGBD) of capsicum plants, camera metadata, camera angles, and manually measured heights of a few selected plants. The Intel Relasense D415 camera is used on a camera platform to collect image data of the right side of one plant line and for three rooms with different light filters (diffused light, Smart Glass film, LLEAF film) in a glasshouse. The camera angle was measured for each data collection of a plant line and manually measured heights are available for ten selected plants per plant line. RGBD streams and their metadata are recoded as Rosbag(.bag) files, and manually measured camera angle, plant height and identified frame numbers for image frame extractions are saved in JSON (.json) files.

      This research was funded by two Future Food Systems Cooperative Research Centre (FFSCRC) projects, ‘IoT for Indoor Farming’ and ‘Automated Crop Monitoring for Protected Cropping Systems’ awarded to Prof Wen Hu and Prof Oula Ghannoum. NJ was supported by a scholarship funded by the FFSCRC and Western Sydney University.
      • Data type dataset
    • Keywords
      • Image data
      • Growth cycle
      • Time series
      • Single camera
      • Glasshouse
      • Capsicum Annum
      • RGBD
      • HIE Hawkesbury Institute for the Environment
    • Funding source
      • Future Food Systems Cooperative Research Centre (FFSCRC) projects, ‘IoT for Indoor Farming’ and ‘Automated Crop Monitoring for Protected Cropping Systems’
      • N Jayasuriya was supported by a scholarship funded by the FFSCRC and Western Sydney University
    • Grant number(s)
      • - ‘IoT for Indoor Farming’: P2-001, ‘Automated Crop Monitoring for Protected Cropping Systems’: P2-014
      • FoR codes
      • 300802 - Horticultural crop growth and development
      • 310802 - Plant biochemistry
      • 310806 - Plant physiology
      SEO codes
    - Coverage
      Temporal (time) coverage
    • Start date 2022/09/07
    • End date 2023/01/25
      • Time period
       
      Spatial (location,mapping) coverage
    • Locations
    - Data
    - Supplements
    - License
    - Citation
      Citation Jayasuriya, Namal; Ghannoum, Oula; Hu, Wen; Liang, Wei; Klause, Norbert; Guo, Yi (2024): Image Data of Capsicum plant growth in Protected Horticulture: PC4C_CAPSI. Western Sydney University. https://doi.org/10.26183/1a0r-e318

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