3D Point Clouds of Trees and Apple Fruit Annotated with Thermal Data

The data set captures four measurements during fruit growth:  06/28/2022 (15:00), 07/12/2022 (15:00), 09/01/2022 (15:00), 09/06/2022 (13:00)

Additionally, diurnal courses are provided for three days:  

Date

Time

09/21

07:00, 08:00, 10:00, 12:00, 13:00, 18:00

09/22

07:00, 08:00, 10:00, 12:00, 13:00, 18:00

10/05

06:30, 07:00, 09:00, 10:00, 11:00, 16:00

The data set was measured in Blocks (A-D) of trees (T) on apple (A) fruit and is stored as compressed zip files, capturing raw, preprocessed, and manually recorded reference (ground truth) data.

1. zip files entitled Raw_YYYY_MM_DD_Block[A-C]-[R, L] for seasonal data and Raw_YYYY_MM_DD_BlockD-[R, L]_Hour__:__ for diel data

- raw data of LiDAR 3D point clouds - txt files

- raw image data by thermal camera - txt files

2. zip files entitled YYYY_MM_DD or DailyAcquisitions:

- preprocessed (merged) sensor data of temperature-annotated 3D point clouds of canopies - csv files

- preprocessed data, capturing manually segmented point clouds of temperature-annotated fruit - txt files

3. Microsoft Excel files entitled References and Weather data:

- raw data, representing reference data of fruit - xlsx file

- raw data of weather conditions - xlsx file