Currently, there is an increasing trend to replace traditional weed identification using simple morphological features, such as the presence or absence of trichomes, with algorithms based on machine learning or deep learning methods 13 .
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Currently, there is an increasing trend to replace traditional weed identification using simple morphological features, such as the presence or absence of trichomes, with algorithms based on machine learning or deep learning methods 13 .