Abstract: The present thesis deals with the creation of an autonomous aerial remote sensing platform, with main tool an Unmanned Aerial System the board (UAS), which was designed and used in perspective of precision agriculture and its main objective was the creation of maps of vegetation indices and determination of dynamic production in various study areas, as well as the ability to provide a significant amount of real-time information at low cost compared to existing techniques. The unmanned aircraft carries sensors and cameras and flies over the study area and transmits in real time the data that is planned to collect. The collected data are: vegetation-land cover data, geographic location, meteorological data, geomorphological and cadastral data, aerial photographs and orthomosaics, as well as derived qualitative data related to the cover type, biomass production and other parameters introduced on the platform through computational routines. The creation of an Unmanned Aerial Remote Sensing platform, with the aim of creating various vegetation indices to determine growth, development, yield crop production, arisen analyzing the results of the functional ecology in Greek agro-ecosystems, within the spatial mapping, the actual utilization of dynamic tools of IT, such as Geographic Information Systems (GIS) and expert systems, the Global Positioning Systems and Satellite remote sensing of space science, as well as the tools agriculture engineering such as soil measurement sensors and autonomous tractors. The bibliographic review, which consists the second chapter of the thesis, analyzes the current situation in precision agriculture, the economic viability aspect of UAS usage and analytical techniques, the historically usage and contribution of model models in agriculture and ecology, while at the same time highlighting the sources on which research was based. The methodology used, which is extensively analyzed in the third chapter, is divided into four stages, focusing on the existing models used in integrated ...
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