A hyperspectral deep learning attention model for predicting lettuce chlorophyll content

A hyperspectral deep learning attention model for predicting lettuce chlorophyll content

Abstract Background The phenotypic traits of leaves are the direct reflection of the agronomic traits in the growth process of leafy vegetables, which plays a vital role in the selection of high-quality leafy vegetable varieties. The current image-based phenotypic traits extraction research mainly f...

Full description

Bibliographic Details
Main Authors: Ziran Ye, Xiangfeng Tan, Mengdi Dai, Xuting Chen, Yuanxiang Zhong, Yi Zhang, Yunjie Ruan, Dedong Kong
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Plant Methods
Subjects:
Lettuce
Chlorophyll content
Beep learning
Hyperspectral
Online Access:https://doi.org/10.1186/s13007-024-01148-9

Internet

https://doi.org/10.1186/s13007-024-01148-9

Similar Items