Dataset
Foliage Canopy of Apple Trees in Formal Architecture
Washington State University
03/20/2020
DOI:
https://doi.org/10.7273/000001843
Handle:
https://hdl.handle.net/2376/17529
Abstract
Author: XIN ZHANG (questions of how to use this branch, please contact xin.zhang4@wsu.edu or please refer to Xin Zhang's PhD dissertation at WSU). This is a set of image/label (MATLAB-based gTruth) data of foliage canopy of apple trees in formal architecture. Images/labels could be used for (semantic segmentation-based) deep learning for objects indentification (e.g., trunks, branches, apples, etc.) Images were acquired in 2018 apple harvesting season near Prosser, WA (USA) using Kinect V2 sensor (with background removed). The apple cultivars include: Fuji (674 images), Envy (58 images), Scifresh (38 images), and Pink Lady (15 images).
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Details
- Title
- Foliage Canopy of Apple Trees in Formal Architecture
- Creators
- Xin Zhang (Author)Manoj Karkee (Author)Qin Zhang (Author)
- Academic Unit
- Biological Systems Engineering, Department of; Center for Precision and Automated Agricultural Systems; Agricultural Automation and Robotics Lab
- Publisher
- Washington State University
- Identifiers
- 99900501885201842
- Copyright
- openAccess ; http://purl.org/eprint/accessRights/OpenAccess
- Language
- English
- Resource Type
- Dataset