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

• Published in: Horticulturae Vol. 10; no. 7; p. 757
• Main Authors: Tapia-Zapata, Nicolas, Winkler, Andreas, Zude-Sasse, Manuela
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2024
• Subjects: 4D point clouds; Cameras; Canopies; Citrus; Citrus fruits; Climate change; Climate models; Climatic changes; Clouds; Cold storage; Density ratio; Dew; Dew point; Dew point method; Fog; Fruit trees; Fruits; heat transfer; Humidity; Lidar; Medical research; Medicine, Experimental; Physiological aspects; Physiology; Plant diseases; Prunus avium; Rain; Remote monitoring; Remote sensing; Room temperature; Sensors; Spatial discrimination; Spatial resolution; Surface temperature; Surface wetness; sweet cherry; Temperature; Temperature distribution; Thermal imaging; Thermodynamic properties; Three dimensional models; Trees; wetness; Germany; United States > US
• ISSN: 2311-7524; 2311-7524
• DOI: 10.3390/horticulturae10070757

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