Occurrence of Wetness on the Fruit Surface Modeled Using Spatio-Temporal Temperature Data from Sweet Cherry Tree Canopies DOI Creative Commons

Nicolas Tapia-Zapata,

Andreas Winkler, Manuela Zude-Sasse

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(7), P. 757 - 757

Published: July 17, 2024

Typically, fruit cracking in sweet cherry is associated with the occurrence of free water at surface level due to direct (rain and fog) indirect (cold exposure dew) mechanisms. Recent advances close range remote sensing have enabled monitoring temperature distribution high spatial resolution based on light detection ranging (LiDAR) thermal imaging. The fusion LiDAR-derived geometric 3D point clouds merged data provides spatially resolved as LiDAR 4D clouds. This paper aimed investigate behavior canopies using this new method emphasis around dew point. Sweet trees were stored a cold chamber (6 °C) subsequently scanned different time intervals room temperature. A total 62 identified. estimated was validated by means manual reference readings (n = 40), where average R2 values 0.70 0.94 found for ideal real scenarios, respectively. canopy density ratio number points related canopy. wetness visually assessed compared an (Ydew) index. At mean Ydew 1.17, no observed surface. had marginal impact kinetics slender spindle tree architecture. modelling can support ecophysiological studies architectures considering resilience against climate change physiological disorders fruit.

Language: Английский

Occurrence of Wetness on the Fruit Surface Modeled Using Spatio-Temporal Temperature Data from Sweet Cherry Tree Canopies DOI Creative Commons

Nicolas Tapia-Zapata,

Andreas Winkler, Manuela Zude-Sasse

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(7), P. 757 - 757

Published: July 17, 2024

Typically, fruit cracking in sweet cherry is associated with the occurrence of free water at surface level due to direct (rain and fog) indirect (cold exposure dew) mechanisms. Recent advances close range remote sensing have enabled monitoring temperature distribution high spatial resolution based on light detection ranging (LiDAR) thermal imaging. The fusion LiDAR-derived geometric 3D point clouds merged data provides spatially resolved as LiDAR 4D clouds. This paper aimed investigate behavior canopies using this new method emphasis around dew point. Sweet trees were stored a cold chamber (6 °C) subsequently scanned different time intervals room temperature. A total 62 identified. estimated was validated by means manual reference readings (n = 40), where average R2 values 0.70 0.94 found for ideal real scenarios, respectively. canopy density ratio number points related canopy. wetness visually assessed compared an (Ydew) index. At mean Ydew 1.17, no observed surface. had marginal impact kinetics slender spindle tree architecture. modelling can support ecophysiological studies architectures considering resilience against climate change physiological disorders fruit.

Language: Английский

Citations

0