Data for: Branch Detection for Apple Trees Trained in Fruiting Wall Architecture using Depth Features and Regions-Convolutional Neural Network (R-CNN)

Published: 14 November 2018| Version 8 | DOI: 10.17632/kvpmv75hvg.8
Contributors:
Jing Zhang, Long He, Zongmei Gao, Xin Zhang, Qin Zhang, Manoj Karkee

Description

This data mainly includes the testing images of apple tree branches in our paper, and the corresponding R-CNN detection results.

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Categories

Agricultural Engineering, Machine Vision, Deep Learning

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