云南高校图书馆联盟文献共享服务平台- HYPERSPECTRAL

HYPERSPECTRAL: 作品数：231被引量：518H指数：11; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：薛绪掌刘良云赵春江宋晓宇陈立平更多>>; 相关机构：中国农业大学国家农业信息化工程技术研究中心哈尔滨工程大学北京航空航天大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>

Review of cutting-edge weed management strategy in agricultural systems: 《International Journal of Agricultural and Biological Engineering》2025年第1期25-42,共18页Narayan R.Gatkal Sachin M.Nalawade Mohini S.Shelke Ramesh K.Sahni Avdhoot A.Walunj Pravin B.Kadam Musrrat Ali; financially supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia(Grant No.KFU250115).; Weed control in agricultural systems is of the utmost importance.Weeds reduce crop yields by up to 30%to 40%.Different methods are used to control weeds,such as manual,chemical,mechanical,and precision weed management...; 关键词：HYPERSPECTRAL MULTISPECTRAL precision weed management robot remote sensing unmanned aerial vehicle WEEDS weeder

Multi-scale monitoring for hazard level classification of brown planthopper damage in rice using hyperspectral technique: 《International Journal of Agricultural and Biological Engineering》2024年第6期202-211,共10页Juan Liao Wanyan Tao Yexiong Liang Xinying He Hui Wang Haoqiu Zeng Zaiman Wang Xiwen Luo Jun Sun Pei Wang Ying Zang; financially supported by Key Research and Development Project of China(Grant No.2022YFD2002400);the Key Scientific and Technological Projects in Key Areas of Crops(Grant No.2023AB014);the National Natural Science Foundation of China(Grant No.31901401);the Key Area Research and Development Program of Guangdong(Grant No.2023B0202130001);Guangdong Provincial Basic and Applied Basic Research Fund Project(Grant No.2022A1515011528).; The primary aim of this study was to classify the hazard level of brown planthopper(BPH)damage in rice.Three datasets,including spectral reflectance corresponding to the sensitive wavelengths from rice canopy spectral...; 关键词：brown planthopper(BPH) hazard level classification hyperspectral technique rice canopy rice stem fusion information

Wheat FHB resistance assessment using hyperspectral feature band image fusion and deep learning: 《International Journal of Agricultural and Biological Engineering》2024年第2期240-249,共10页Kun Liang Zhizhou Ren Jinpeng Song Rui Yuan Qun Zhang; supported by the Natural Science Foundation of Jiangsu Province(Grant No.BK20221518);the Jiangsu Agriculture Science and Technology Innovation Fund(Grant No.CX(23)1002)。; The breeding and selection of resistant varieties is an effective way to minimize wheat Fusarium head blight(FHB)hazards,so it is important to identify and evaluate resistant varieties.The traditional resistance pheno...; 关键词：Fusarium head blight resistance evaluation hyperspectral feature band image fusion deep learning Faster R-CNN

Hyperspectral detection of walnut protein contents based on improved whale optimized algorithm: 《International Journal of Agricultural and Biological Engineering》2022年第6期235-241,共7页Yao Zhang Zezhong Tian Wenqiang Ma Man Zhang Liling Yang; supported by the Science and Technology Innovation Key Cultivation Project of Xinjiang Academy of Agricultural Sciences(Grant No.xjkcpy-004).; Nondestructive and accurate estimation of walnut kernel protein content is important for food quality grading and profitability improvement of walnut packinghouses.Hyperspectral image technology provides potential sol...; 关键词：walnut protein hyperspectral image whale optimized algorithm feature selection textural indicator

Rapid and non-destructive decay detection of Yali pears using hyperspectral imaging coupled with 2D correlation spectroscopy: 《International Journal of Agricultural and Biological Engineering》2022年第5期236-244,共9页Yufan Zhang Wenxiu Wang Fan Zhang Qianyun Ma Shuang Gao Jie Wang Jianfeng Sun Yuanyuan Liu; financially supported by Hebei Province Key Research and Development Project(Grant No.20327111D);Basic Scientific Research Funds of Hebei Provincial Universities(Grant No.KY202002);Key Laboratory of Modern Agricultural Engineering,Tarim University(Grant No.TDNG2020102);the National Natural Science Foundation of China(Grant No.31960498).; The black spot disease caused by Alternaria alternata on Yali pears is a great concern as it compromises their edible quality and commercial value.To realize rapid and non-destructive classification of this disease,hy...; 关键词：hyperspectral imaging technology black spot disease two-dimensional correlation spectroscopy Yali pear

Hyperspectral detection of walnut protein contents based on improved whale optimized algorithm被引量：2: 《International Journal of Agricultural and Biological Engineering》2022年第4期I0035-I0041,共7页Yao Zhang Zezhong Tian Wenqiang Ma Man Zhang Liling Yang; This paper was supported by the Science and Technology Innovation Key Cultivation Project of Xinjiang Academy of Agricultural Sciences(xjkcpy-004).; Nondestructive and accurate estimation of walnut kernel protein content is important for food quality grading and profitability improvement of walnut packinghouses.Hyperspectral image technology provides potential sol...; 关键词：walnut protein hyperspectral image whale optimized algorithm feature selection textural indicator

Detection of endogenous foreign bodies in Chinese hickory nuts by hyperspectral spectral imaging at the pixel level被引量：1: 《International Journal of Agricultural and Biological Engineering》2022年第2期204-210,共7页Zhe Feng Weihao Li Di Cui; The authors gratefully acknowledge the financial support of the National Key Research and Development Program of China(Grant No.2017YFC1600805);the help of Jie Yang in studying convolution neural networks.Trade and manufacturer names are necessary to report factually on the available data。; It is difficult to differentiate small,but harmful,shell fragments of Chinese hickory nuts from their kernels since they are very similar in color.Including shell fragments of Chinese hickory nuts by mistake may creat...; 关键词：Chinese hickory nut endogenous foreign body hyperspectral spectral imaging pixel level DETECTION

Detection and recognition of veterinary drug residues in beef using hyperspectral discrete wavelet transform and deep learning: 《International Journal of Agricultural and Biological Engineering》2022年第1期224-232,共9页Rongchang Jiang Jingxin Shen Xinran Li Rui Gao Qinghe Zhao Zhongbin Su; China Central Government to Support the Reform and Development Fund of Heilongjiang Local Universities(Grant No.2020GSP15).; A fast,non-destructive recognition method for veterinary drug residues in beef was proposed to mitigate the laborious sample preparation and long detection times associated with conventional chemical detection techniq...; 关键词：HYPERSPECTRAL BEEF veterinary drug residues discrete wavelet transform convolutional neural network deep learning

Quick assessment of chicken spoilage based on hyperspectral NIR spectra combined with partial least squares regression被引量：4: 《International Journal of Agricultural and Biological Engineering》2021年第1期243-250,共8页Shengqi Jiang Hongju He Hanjun Ma Fusheng Chen Baocheng Xu Hong Liu Mingming Zhu Zhuangli Kang Shengming Zhao; The authors acknowledged that this work was financially supported by Major Scientific and Technological Project of Henan Province(Grant No.161100110600);Key Scientific and Technological Project of Henan Province(No.212102310491,No.182102310060);China Postdoctoral Science Foundation(No.2018M632767);Henan Postdoctoral Science Foundation(No.001801021);Youth Talents Support Project of Henan Province(No.2018HYTP008);and Bainong Outstanding Talents Project of Henan Institute of Science and Technology(No.BNYC2018-2-27).; Pseudomonas spp.and Enterobacteriaceae are dominant spoilage bacteria in chicken during cold storage(0°C-4°C).In this study,high resolution spectra in the range of 900-1700 nm were acquired and preprocessed using Sa...; 关键词：hyperspectral NIR spectra CHICKEN dominant spoilage partial least squares regression quick assessment

Determination of damaged wheat kernels with hyperspectral imaging analysis被引量：3: 《International Journal of Agricultural and Biological Engineering》2020年第5期194-198,共5页Yuanyuan Shao Chong Gao Guantao Xuan Xuemei Gao Youqing Chen Zhichao Hu; This work was supported by the National Natural Science Foundation of China(Grant No.31671632;No.31701325);Green Farming and Mechanical Innovation Team of Fruit Harvesting under Soil.; Hyperspectral imaging was applied to classify the damaged wheat kernels and healthy kernels.The spectral information was extracted from damaged wheat kernels and healthy kernels samples.The effective wavelengths were ...; 关键词：hyperspectral image damaged wheat kernels DETERMINATION PCA SPA LS-SVM

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