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This work focuses on methods for electromagnetic analysis and performance evaluation of UHF-RFID systems to enhance the planning and system integration process. This includes the analysis of performance degrading effects occurring in close proximity to RFID transponders, as well as the assessment of the large-scale signal coverage in harsh operational environments. Shortcomings of state-of-the-art methods are investigated and novel evaluation techniques based on accurate full-wave analysis are proposed. In addition, innovative approaches for determining the interference effects in the near-field using artificial neural networks are investigated, and drone-based systems for autonomous measurements of large-scale signal coverage are researched to validate the newly developed assessment methods. Finally, recommendations for action are provided in the form of a general framework proposing suitable simulation methods and evaluation schemes considering the analyzed operational environment and its different planning phases.