Grape detection with convolutional neural networks

作者：

Highlights：

• Transfer learning for the grape detection in images.

• Impact of data augmentation on the accuracy of grape images segmentation.

• Evaluation in 3 feature spaces: color and texture, texture only, and color only.

摘要

•Transfer learning for the grape detection in images.•Impact of data augmentation on the accuracy of grape images segmentation.•Evaluation in 3 feature spaces: color and texture, texture only, and color only.

论文关键词：Machine learning,Deep learning,Agriculture,Viticulture

论文评审过程：Received 10 July 2019, Revised 18 May 2020, Accepted 18 May 2020, Available online 26 May 2020, Version of Record 6 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113588