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Recognition of Weeds in Cornfields

Hartyányi Gábor, Czuni Laszlo

Annals of Computer Science and Information Systems

2023

Vol. 35

995--999

In terms of weed control, existing precision spraying solutions seek to reduce the unwanted impact of spraying by separate field scanning from mostly birds' eye view. In our study, we propose a hybrid approach in which the mechanical hoeing and the spraying is done simultaneously accomplished by weed recognition from a lower position where the plants' leaves do not cover weeds. We demonstrate the line and the weed recognition methods on a dataset collected from corn fields and compare different convolutional neural networks. We also investigate the feasibility on two widely known embedded platforms.