Rapid and accurate estimation of field wheat leaf area index based on UAV imaging

Plant Phenomics | Rapid and accurate estimation of field wheat leaf area index based on UAV imaging

Recently, Plant Phenomics published a research paper online by the University of Queensland entitled Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning

In this paper, a prediction model based on mixed methods theory is developed to achieve the purpose of quickly and accurately estimating the LAI of wheat under different growth conditions from the canopy reflectance captured by UAV multispectral imaging

Figure 1 Research flow chart

First author and corresponding author:

Qiaomin Chen, PhD student, currently studying at the University of Queensland, under the tutelage of Prof.

Corresponding Author:

Prof.

https://doi.

Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones

https://doi.

Plant Phenomics | Estimating tiller numbers in wheat seedlings using drone multi-view imaging

Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System

https://doi.

Plant Phenomics | Canopy Roughness: A Novel Phenotypic Trait for Estimated Aboveground Biomass from UAV Aerial Surveys

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Plant Phenomics is an English academic journal co-founded by Nanjing Agricultural University and the American Association for the Advancement of Science (AAAS).
It was officially launched in January 2019
.
In the form of open access, it publishes original research papers, reviews, datasets and viewpoints with breakthrough scientific research progress in the interdisciplinary field of plant phenomics
.
The specific scope covers the latest technologies for high-throughput phenotyping, phenotyping studies based on image analysis and machine learning, new algorithms for extracting phenotypic information, new applications of phenotypes in crop cultivation, plant breeding and agricultural practice, Molecular biology, plant physiology, statistics, crop models and other omics studies combined with plant phenotypes, plant biology related to phenomics,
etc.
The journal has been indexed by databases such as DOAJ, Scopus, PMC, EI and SCIE
.
Clarivate Analytics' JCR2021 impact factor is 6.
961, and it is located in the first area of ​​agronomy, plant science, and remote sensing
.
Chinese Academy of Sciences Agronomy, Plant Science Zone 1, Remote Sensing Zone 2, Biology Category 1 (TOP Journal)
.
In 2020, it was selected as a high-start new journal project of the China Science and Technology Journal Excellence Action Plan
.

Note: This article is organized by the editorial department of Plant Phenotyping
.

The Chinese content is for reference only, and the original English version shall prevail
.

Invited author: Chen Qiaomin

Editor: Zhang Wei (internship)

Review: Kong Min, Wang Ping