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Title Ανάπτυξη αισθητήρα οπτικών ινών για παρακολούθηση εναέριων αγροτικών ψεκασμών
Author Ανθουλάκης, Εμμανουήλ
Thesis advisor Κωνσταντάκη, Μαρία
Abstract In recent years the technology of unmanned aerial vehicles (drones) has transformed agricultural practices. Applications such as chemical pesticidesspraying are performed remotely without the need for direct contact. This application can be of great benefit to farmers, especially in inaccessible environments where spraying is difficult. Furthermore drone spraying has, additional, distinctive advantages such as fast operation and water/ pesticide volume reduction compared to traditional land spraying methods. However, various considerations currently limit widespan endorsement of the technique. The most important being related to the droplet cloud that is created during spraying and can extend for several meters, even beyond the boundaries of the desired spraying area. Therefore it is important to estimate the area covered by the cloud. Also the amount of particles varies depending on the distance from the spraying point and hence particle quantity in relation to distance should be determined. Having several advantages over conventional electrical sensors (remote operation, electromagnetic immunity and high sensitivity), fiber optic sensors are proposed as the candidate sensors. Optical fibers with Long Period Grating (LPG) of a long interaction area (~ 90 mm) have the ability to detect changes in their external environment and can constitute a reliable choice for the specific application. In this thesis, the process of inscription of Long Period Gratings using of ultraviolet radiation and the point-by-point technique is presented. In addition, their response was successfully tested during laboratory spraying experiments and their calibration was performed by correlating the initial transmission spectrum with the induced spectral changes.
Language Greek
Issue date 2022-04-01
Collection   School/Department--School of Sciences and Engineering--Department of Physics--Graduate theses
  Type of Work--Graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/a/0/c/metadata-dlib-1648645522-189502-19419.tkl Bookmark and Share
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