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Published August 16, 2022 | Version v1
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Data on three-year flowering intensity monitoring in an apple orchard

  • 1. Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, The Netherlands
  • 2. Information Technology Group, Wageningen University & Research, Wageningen, The Netherlands
  • 3. Field Crops, Wageningen University & Research, Randwijk, The Netherlands

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.

Notes

This research was supported by the SPECTORS project [grant number 143081] in the Netherlands, which is funded by the European cooperation program INTERREG Deutschland-Nederland.

Files

Data on 3-year flowering intensity monitoring.zip

Files (17.1 GB)