Version 5
Dataset and codes of "A parallel resnet-transformer and cross-modal attention network for identification of rice blast resistance using UAV-based visible-infrared imagery"
Huang, Huasheng;Zhou, Zibin;Guo, Tao;Yang, Aqing;Zhuang, Jiajun;Tan, Zhiping;Fang, Mingwei;Tang, Yu
Description
This work exploited the potential of UAV-based visible-infrared imagery for rice blast resistance (RBR) identification, which is of significance to promote the rice breeding and ensure global food security.
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Metrics Over Time
Publication Details
DOI
Publisher
figshare
Subfield
Aerospace Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
47%
Source
Scholar Data Model
Keywords
Crop and pasture protection (incl. pests, diseases and weeds)Multimodal analysis and synthesis