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One of its major advantages is that it does not require any spectral knowledge of the incident waves.
It is also easier to use since it does not require any input parameter related to its structure.
Further, the proposed method is unsupervised in nature, and it does not require any training data set for its implementation.
It does not require any data structure.
Remarkably, it does not require any land or fertilizer.
It does not require any wire or wireless medium [2].
It does not require any prior information or parameter estimation.
Moreover, it does not require any external power supply.
The proposed model is simple yet useful and it does not require any empirical correlation.
It does not require any conversion factors which can introduce subjectivity.
Moreover, it does not require any additional reference station data or CORS-like network data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com