Research Output
Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses
  A tool for plant phenotyping is proposed to aid users in analyzing data on-demand. This tool is web-based and runs deep learning models. The current study focuses on the development of this tool, as well as obtaining a plant dataset to train a neural network. Furthermore, smartphone and drone imagery are used to test the derived model. The results demonstrate how data generalization can be reached through participatory sensing. Finally, drones show potential as being a fast solution for acquiring sensory information within greenhouses.

  • Date:

    25 June 2021

  • Publication Status:

    Published

  • Publisher

    Wageningen Academic Publishers

  • DOI:

    10.3920/978-90-8686-916-9_59

  • Cross Ref:

    10.3920/978-90-8686-916-9_59

  • Funders:

    Edinburgh Napier Funded

Citation

Frangulea, M., Pantos, C., Giuffrida, V., & Valente, J. (2021). Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses. In Precision agriculture ’21 (493-500). https://doi.org/10.3920/978-90-8686-916-9_59

Authors

Keywords

kale, smartphone, drone, greenhouse, artificial intelligence

Monthly Views:

Available Documents