A LiDAR laser scanning and thermal imaging were employed to detect the temperature on sweet cherry surface (TEstimated) by means of 3D point cloud. The LiDAR estimated temperature was temporally monitored in three varieties and compared with manually measured fruit temperature (TMeasured) and fruit fresh mass. The results showed correlation coefficients R 2 of 0.80 and 0.85 between estimated and measured temperatures of three different cultivars during the season. Related to fresh mass and the fruit quality data, (TEstimated) showed no correlation during the growing stages.
Bignardi, M., Tsoulias, N., Manfrini, L., Zude-Sasse, M. (2023). Evaluation of fruit temperature on cherries by means of thermal point clouds. IEEE [10.1109/metroagrifor58484.2023.10424355].
Evaluation of fruit temperature on cherries by means of thermal point clouds
Bignardi, Marco;Manfrini, Luigi;
2023
Abstract
A LiDAR laser scanning and thermal imaging were employed to detect the temperature on sweet cherry surface (TEstimated) by means of 3D point cloud. The LiDAR estimated temperature was temporally monitored in three varieties and compared with manually measured fruit temperature (TMeasured) and fruit fresh mass. The results showed correlation coefficients R 2 of 0.80 and 0.85 between estimated and measured temperatures of three different cultivars during the season. Related to fresh mass and the fruit quality data, (TEstimated) showed no correlation during the growing stages.| File | Dimensione | Formato | |
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