Data on three-year flowering intensity monitoring in an apple orchard

Dataset

Description

The present dataset contains UAV images during the full blooming period of an apple orchard for three consecutive years, 2018, 2019, and 2020. It is directly linked to a research article entitled “Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard”. The data collection site was an apple orchard located at Randwijk, Overbetuwe, The Netherlands (51.938, 5.7068 in WGS84 UTM 31U). This dataset aims to support researchers focussing on remote sensing, machine vision, deep learning, and image classification, and the stakeholders interested in precision horticulture and orchard management. It can be used for flowering intensity estimation and prediction, and spatial and temporal flowering variability mapping by using digital photogrammetry and 3D reconstruction
Date made available16 Aug 2022
PublisherWageningen University & Research
Temporal coverage2018 - 2020
Geographical coverageRandwijk, Overbetuwe, The Netherlands

Keywords

  • UAV
  • flower blossom
  • yield mapping
  • RGB images
  • apple orchard
  • yield prediction
  • orthophoto
  • point clouds
  • computer vision
  • deep learning

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