Fruit detection, segmentation and 3D visualisation of environments in apple orchards

Author:

Kang Hanwen,Chen Chao

Funder

ARC ITRH

THOR TECH PTY Ltd

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. ABARES, 2018. Australian vegetable growing farms: an economic survey, 2016-17 and 2017-18. Australian Bureau of Agricultural and Resource Economics (ABARE): Canberra.

2. Abdulla Waleed, 2017. Mask r-cnn for object detection and instance segmentation on keras and tensorflow, 2017. https://github.com/matterport/Mask_RCNN. [Online; accessed Sep-2019].

3. Harvesting robots for high-value crops: State-of-the-art review and challenges ahead;Bac;J. Field Robot.,2014

4. Deep fruit detection in orchards;Bargoti,2017

5. Chen Liang-Chieh, Zhu Yukun, Papandreou George, Schroff Florian, Adam Hartwig, 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 801–818.

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