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The use of artificial intelligence has expanded rapidly in recent years. Researchers from various fields of science use in practice the functionality of neural networks of machine learning and machine vision. But neural networks have very advanced functionality and variety, and if a researcher has not been directly involved in working with neural networks over the past years, then it is very difficult for him at the initial stage to efficiently select the correct model of a neural network. Therefore, the task of this manuscript Therefore, this manuscript provides a review that will provide information on current trends in the field of neural networks and weed detection tasks.

Artificial Intelligence in Weed Recognition Tasks