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On September 12, the Jilin Academy of Agricultural Sciences, as the completion and communication, Yang Fantuan, associate researcher of the crop quality and safety production team of the Institute of Quality And Standards, and Gu Xiaohe, researcher of the Information Technology Research Center of Beijing Academy of Agriculture and Forestry Sciences, as co-corresponding authors, published an online publication entitled "A New Comprehensive" in the international journal Computers and electronics in agriculture (IF=6.
757).
Index for Monitoring Maize Lodging Severity Using UAV-based Multi-spectral Imagery" research paper, the institute was involved in the experimental design, data collection and analysis of the study, and the entire process
of article writing.
757).
Index for Monitoring Maize Lodging Severity Using UAV-based Multi-spectral Imagery" research paper, the institute was involved in the experimental design, data collection and analysis of the study, and the entire process
of article writing.
Lodging can significantly reduce crop yields and food quality
.
The purpose of the study is to effectively monitor the severity of maize lodging using a drone (UAV) with a multispectral camera, which can provide a rapid and effective method for the screening of toppling breeding materials
.
The comprehensive lodging evaluation index (CLEI) based on the multispectral image of the drone proposed in this paper can effectively monitor the severity of
maize lodging.
.
The purpose of the study is to effectively monitor the severity of maize lodging using a drone (UAV) with a multispectral camera, which can provide a rapid and effective method for the screening of toppling breeding materials
.
The comprehensive lodging evaluation index (CLEI) based on the multispectral image of the drone proposed in this paper can effectively monitor the severity of
maize lodging.
This paper is another research paper
on the remote sensing monitoring of maize disasters using remote sensing technology after Yang Fantuan associate researcher published in the EI journal "Chinese Journal of Agricultural Engineering" in 2013 to "monitor the spatial distribution of maize armyworm disasters using multi-temporal HJ-CCD remote sensing images".
on the remote sensing monitoring of maize disasters using remote sensing technology after Yang Fantuan associate researcher published in the EI journal "Chinese Journal of Agricultural Engineering" in 2013 to "monitor the spatial distribution of maize armyworm disasters using multi-temporal HJ-CCD remote sensing images".
Article Link: https://doi.
org/10.
1016/j.
compag.
2022.
107362?
org/10.
1016/j.
compag.
2022.
107362?
(Quality Standard Institute)
