Quality and Safety of Food and FeedPhoto: ATB
Sunburn and HEat prediction in canopies for Evolving a warning Tech solution.
Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB)
Universita' degli Studi di Bologna
Szent István University, Budapest (SZIE)
HK Horticultural Knowledge srl
Hungarian University of Agriculture and Life Sciences
Allocated to research program
Global radiation and temperature rise cause huge risks for the fruit production already affecting the fruit quality, storability, and increasingly results in food waste. The varying training systems of woody plants and efficacy of physical protection measures based on shielding effects have an effect on the heat distribution in the canopies and the crop response in varying climate conditions. Time series analysis of fruit temperature in heat periods due to the global warming are needed. In SHEET, terrestrial remote sensing will be employed to provide the necessary high spatio-temporal resolution of data considering the canopy and particularly fruit surfaces. Remote sensing methods capture light detection and ranging (LiDAR), photogrammetry including depth information (RGB-D), thermal imaging as well as weather station and microclimate sensors. The remote data will be supported by means of laboratory analysis on the fruit damage occurrence in varying climate, while taking into account the canopy architecture and physical protection measures. A temperature distribution model based on thermodynamic approach and an artificial neural network model to link the temperature distribution with the fruit damage will be developed. The climate and output data are provided with a free mobile App to the growers. Consequently, the objectives of SHEET capture (i) the analysis of apparent temperature distribution at the fruit surface employing terrestrial remote sensing in apple, sweet cherry, and grapes; (ii) validation of the findings on fruit damage considering the peak and duration of radiation and temperature degrees, (iii) mobile App prototype providing a warning solution to inform stakeholders on the risk of damage.
Bundesministerium für Ernährung und Landwirtschaft (BMEL)
Bundesanstalt für Landwirtschaft und Ernährung - Projektträger
ERA-Net ICT-AGRI FOOD