An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation

An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation

Plant phenotyping is widely used to identify the genotype differences and the environmental conditions of plants. These pieces of information can be gathered by various sensors conveniently and easily. The similarity evaluation of phenotypic data is essential for category classifications and stress...

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Bibliographic Details
Main Authors: Peisen Yuan, Zhaoyu Zhai, Jose-Fernan Martinez, Huanliang Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
phenotypic similarity evaluation
chrysanthemum flower
deep hashing
binary embedding
Online Access:https://ieeexplore.ieee.org/document/8871214/

Internet

https://ieeexplore.ieee.org/document/8871214/

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