HYPERSPECTRAL

作品数：231被引量：518H指数：11
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Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study
《Plant Phenomics》2024年第3期684-695,共12页Hengbiao Zheng Weijie Tang Tao Yang Meng Zhou Caili Guo Tao Cheng Weixing Cao Yan Zhu Yunhui Zhang Xia Yao 
supported by the National Key Research and Development Program of China(2021YFD2000100);the National Natural Science Foundation of China(32101617);the Fundamental Research Funds for the Central Universities(JSJL2023005);the Zhongshan Biological Breeding Laboratory(ZSBBL-KY2023-05);the Key Independent Research Project of Jjiangsu Key Laboratory of Information Agriculture(KLIAZZ2301);the Jiangsu Collaborative Innovation Center for Modern Crop Production(JCICMCP).
Efficient and accurate acquisition of the rice grain protein content(GPC)is important for selecting high-quality rice varieties,and remote sensing technology is an attractive potential method for this task.However,the...
关键词：ASSOCIATION technology content imaging protein GRAIN study RICE GENOME-WIDE HYPERSPECTRAL 
Simulation of Automatically Annotated Visible and Multi-/Hyperspectral Images Using the Helios 3D Plant and Radiative Transfer Modeling Framework
《Plant Phenomics》2024年第3期579-594,共16页Tong Lei Jan Graefe Ismael K.Mayanja Mason Earles Brian N.Bailey 
supported,in whole or in part,by the Bill&Melinda Gates Foundation INV-0028630;USDA NIFA Hatch project 7003146.
Deep learning and multimodal remote and proximal sensing are widely used for analyzing plant and crop traits,but many of these deep learning models are supervised and necessitate reference datasets with image annotati...
关键词：framework SIMULATION helios modeling PLANT annotated AUTOMATICALLY HYPERSPECTRAL IMAGES 
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning被引量：1
《Plant Phenomics》2024年第2期269-280,共12页Hui Feng Yongqi Chen Jingyan Song Bingjie Lu Caixia Shu Jiajun Qiao Yitao Liao Wanneng Yang 
supported by grants from the STI2030-Major Projects;National Key Research and Development Program(2022YFD1900701-4);National Natural Science Foundation of China(U21A20205);Key Projects of Natural Science Foundation of Hubei Province(2021CFA059);HZAU-AGIS Cooperation Fund(SZYJY2022014);Fundamental Research Funds for the Central Universities(2021ZKPY006 and 2662021JC008);the National Rape Crop Industry System Special Project Funding(CARS-12).
Oilseed rape is an important oilseed crop planted worldwide.Maturity classification plays a crucial role in enhancing yield and expediting breeding research.Conventional methods of maturity classification are laboriou...
关键词：learning image with CLASSIFICATION COMBINED HYPERSPECTRAL machine MATURITY RAPESEED USING 
DC2Net:An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning被引量：1
《Plant Phenomics》2024年第2期377-389,共13页Jiarui Feng Shenghui Zhang Zhaoyu Zhai Hongfeng Yu Huanliang Xu 
supported by the Natural Science Foundation of Jiangsu Province(Grant No.BK20231004);Guidance Foundation,the Sanya Institute of Nanjing Agricultural University(Grant No.NAUSY-MS25);Fundamental Research Funds for the Central Universities(Grant No.KYCXJC2023007).
Asian soybean rust(ASR)is one of the major diseases that causes serious yield loss worldwide,even up to 80%.Early and accurate detection of ASR is critical to reduce economic losses.Hyperspectral imaging,combined with...
关键词：learning IMAGING detection RUST model DEEP ASIAN based HYPERSPECTRAL SOYBEAN 
Making the Genotypic Variation Visible:Hyperspectral Phenotyping in Scots Pine Seedlings
《Plant Phenomics》2023年第4期790-804,共15页Jan Stejskal Jaroslav Čepl Eva Neuwirthová Olusegun Olaitan Akinyemi Jiří Chuchlík Daniel Provazník Markku Keinänen Petya Campbell Jana Albrechtová Milan Lstiburek Zuzana Lhotáková 
funded mainly by the Ministry of Education,Youth and Sports of the Czech Republic,scheme INTER-EXCELLENCE,INTER-ACTION,grant number LTA-USA19113,titled“Genetic variability of hyper-spectral reflectance in Scots pine ecotypes for selection of drought-resistant individuals”.This project was coordinated with U.S.partners:P.Campbell and J.Brawner;funding from the European Union's Horizon Europe Research and Innovation Programme under grant agreement no:101081774-OptFORESTS;supported by NASA,LCLUC Program NNH17ZDA001N-LCLUC,grant no:80NSS-C18K0337,titled“Prototyping MuSLI canopy chlorophyl content for assessment of vegetation function and productivity”;supported by the Academy of Finland Flagship on Photonics Research and Innovation(PREIN,320166)
Hyperspectral reflectance contains valuable information about leaf functional traits,which can indicate a plant's physiological status.Therefore,using hyperspectral reflectance for high-throughput phenotyping of folia...
关键词：SCOTS FOREST reflectance 
End-to-End Fusion of Hyperspectral and Chlorophyll Fluorescence Imaging to Identify Rice Stresses被引量：4
《Plant Phenomics》2022年第1期142-155,共14页Chu Zhang Lei Zhou Qinlin Xiao Xiulin Bai Baohua Wu Na Wu Yiying Zhao Junmin Wang Lei Feng 
This study was supported by the Shenzhen Science and Technology Projects(CJGJZD20210408092401004);the National Natural Science Foundation of China(61705195).
Herbicides and heavy metals are hazardous substances of environmental pollution,resulting in plant stress and harming humans and animals.Identification of stress types can help trace stress sources,manage plant growth...
关键词：breeding. FLUORESCENCE POLLUTION 
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