卷积神经网络
计算机科学
人工智能
深度学习
人工神经网络
模式识别(心理学)
作者
Haichen Jiang,Chang Qing-rui,Guang Liu
标识
DOI:10.1145/3425577.3425585
摘要
Weeding is an effective method to improve crop yields. In precision agriculture, accurate and reliable weed identification methods provide the basis for achieving high-precision weed position control. This paper proposes a field weed and crop classification algorithm based on deep convolutional neural network and uses support vector machine (SVM) to optimize the algorithm. The model using VGG16+SVM for classification tasks has achieved an accuracy rate of 96,4%, which has practical significance for modern agricultural precision weeding.
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