Project: Sunburn and heat prediction in canopies for evolving a warning tech solution
| Acronym | SHEET (Reference Number: 862678) |
| Duration | 01/02/2021 - 31/01/2024 |
| Project Topic | 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 affect the heat distribution in the canopies and the crop response in varying climate conditions. 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 and proximal sensing methods capture photogrammetry including depth information (RGB-D), light detection and ranging (LiDAR), thermal imaging, weather station, and microclimate sensors. A temperature distribution model will be developed based on thermodynamic approach and machine learning methods to link the temperature distribution with the fruit damage. To support climate resilience, the information on the degree of risk in various production systems needs to be assessable by fruit growers, which will be realized in a mobile App. 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. |
| Website | visit project website |
| Network | ICT-AGRI-FOOD |
| Call | 1st ICT-AGRI-FOOD Joint Cofund Call |
Project partner
| Number | Name | Role | Country |
|---|---|---|---|
| 1 | Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) | Coordinator | Germany |
| 2 | Alma Mater Studiorum - Universita Di Bologna | Partner | Italy |
| 3 | Hungarian University of Agriculture and Life Sciences | Partner | Hungary |
| 4 | macio GmbH | Partner | Germany |
| 5 | Horticultural Knowledge | Observer | Italy |