This paper proposes a system to recognize strawberries from other plants based based on convolutional neural networks(CNNs). The architecture of the proposed CNNs is comprised of a number of convolutional layers. The proposed CNNs can identify strawberries from other leaves with 95.2% accuracy which is comparably better than recent literature. The article also analyzes the influence of various factors such as kernel size, feature maps and CNN layers on the accuracy.
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