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Dissertation
Optimizing drying processes for agricultural products utilising non-invasive measurement and adaptive control systems
(2021)
With increasing population and global warming, the need for functional yet nutritional food combined with energy efficient processes has risen significantly. The new “Industry 4.0” revolution acknowledging this need aims to develop and improve processes that are affordable as well as sustainable. For a process like drying this means a shift towards smart or intelligent drying systems using a multidisciplinary approach. This encompasses the use of advanced computational algorithms and control systems integrated with ...
Dissertation
Fine-scale grassland monitoring using unmanned aerial vehicle borne remote sensing
(2020-04)
RS is widely employed as a non-destructive methodology to monitor grasslands. Usage of UAV as the RS platform benefits to provide high spatial (fine-grain) and temporal resolution, unclouded data over small grassland extent. Therefore, this thesis evaluated the applications of UAV-borne RS for fine-scale grassland monitoring along with practical farm condition. Grass biomass estimation, predicting forage quality of grass and mapping invasive lupine in grasslands are considered as applications of UAVborne RS.