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1.
采用双模态联合表征学习方法识别作物病害 总被引:1,自引:1,他引:0
基于深度卷积神经网络的视觉识别方法在病害诊断中表现出色,逐渐成为了研究热点。但是,基于深度卷积神经网络建立的视觉识别模型通常只利用了图像模态的数据,导致模型的识别准确率和鲁棒性,都依赖训练数据集的规模和标注的质量。构建开放环境下大规模的病害数据集并完成高质量的标注,通常需要付出巨大的经济和技术代价,限制了基于深度卷积神经网络的视觉识别方法在实际应用中的推广。该研究提出了一种基于图像与文本双模态联合表征学习的开放环境下作物病害识别模型(bimodalNet)。该模型在病害图像模态的基础上,进行了病害文本模态信息的嵌入,利用两种模态病害信息间的相关性和互补性,实现了病害特征的联合表征学习。最终bimodalNet在较小的数据集上取得了优于单纯的图像模态模型和文本模态模型的效果,最优模型组合在测试集的准确率、精确率、灵敏度、特异性和F1值分别为99.47%、98.51%、98.61%、99.68%和98.51%。该研究证明了利用病害图像和病害文本的双模态表征学习是解决开放环境下作物病害识别的有效方法。 相似文献
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为提高果树病虫害危害程度分级精度进而更好地指导果园病虫害防治,采用迁移学习技术与GoogLeNet模型相结合的方法,对6种果园作物的25类病虫害样本进行识别与危害程度分级研究;同时,探究不同数据集大小以及不同优化算法对模型性能的影响;基于MATLAB平台设计了一款可视化的病虫害识别与分级系统。结果表明:1)基于迁移学习的GoogLeNet模型,对病虫害识别精度可达99.35%,危害程度分级精度可达92.78%;2)在相同训练参数下,本研究模型比AlexNet、VGG-16、ResNet-18、SqueezeNet、原GoogLeNet及MobileNet-v2模型验证精度提高了2.38%~11.44%,并且收敛速度最快;3)本研究模型识别精度随着数据集的增大而提高;在3种优化算法中SGDM算法耗时最短且精度最高,更适合本研究模型。通过拍摄果树叶片病害区域图像,本研究设计的系统能够在0.43 s左右准确识别出果树种类、病害类型以及危害等级等信息。 相似文献
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Emily R. Grace Mojgan Rabiey Ville-Petri Friman Robert W. Jackson 《Plant pathology》2021,70(9):1987-2004
Trees and woody plants can be attacked by many pests and pathogens either individually or as polymicrobial infections. In particular, infections caused by tree-specific bacterial pathogens have become more common during the last decade, causing serious concern for important tree and woody plant species in horticulture, urban environments, and forests. For example, Xylella and Pseudomonas bacteria are causing significant economic and ecological devastation throughout Europe in olive, cherry, and other stone fruits, mainly because of lack of efficient control methods and the emergence of bacterial resistance to traditional antimicrobial compounds such as copper and antibiotics. Hence, there is an urgent need for innovative approaches to tackle bacterial plant diseases. One way to achieve this could be through the application of biological control, which offers a more environmentally friendly and targeted approach for pathogen management. This review will explore recent advances in use of pathogen-specific viruses, bacteriophages (or phages), for the biocontrol of bacterial tree diseases. Phages are an important component of plant microbiomes and are increasingly studied in plant pathogen control due to their highly specific host ranges and ability to selectively kill only the target pathogenic bacteria. However, their use still poses several challenges and limitations, especially in terms of managing the bacterial diseases of long-lived trees. A particular insight will be given into phage research focusing on controlling Pseudomonas syringae pathovars, Erwinia amylovora, Xanthomonas species, Ralstonia solanacearum, and Agrobacterium tumefaciens. Recent milestones, current challenges, and future avenues for phage therapy in the management of tree diseases are discussed. 相似文献
4.
You Zhou Lijia Guo Changcong Liang Lei Liu Jun Wang Laying Yang Junsheng Huang 《Plant pathology》2022,71(5):1092-1102
Coriander (Coriandrum sativum) is a medicinal and aromatic plant. From November 2017 to March 2020, leaf blight disease on coriander plants was frequently observed in commercial coriander cultivated fields of Haikou, Sanya and Wanning City, Hainan Province, China. Leaves with symptoms showed irregular chlorotic to dark brown necrotic lesions at the edges of leaves, and the leaves were curled and covered with a layer of grey mould. Based on morphological characteristics, pathogenicity testing and concatenated sequences of the internal transcribed spacer region (ITS), actin (ACT) and translation elongation factor-1α (TEF) genes, the pathogen was identified as Cladosporium tenuissimum. Untargeted metabolomes of the coriander leaves were analysed by gas chromatography-mass spectrometry (GC-MS). Score plots of principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) showed clear discrimination between infected and control treatments. The levels of l -threonic acid, hexadecanoic acid and myo-inositol in the control treatment were 3.45-, 1.81- and 2.44-fold, respectively, those in the infected treatment. To our knowledge, this is the first report of C. tenuissimum causing coriander leaf blight disease in China. Furthermore, this study indicates that C. tenuissimum infection of coriander causes a significant decrease in l -threonic acid, hexadecanoic acid and myo-inositol levels, indicating that these metabolites may be involved in the plant's response to coriander leaf blight disease. 相似文献
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在大数据时代,海量的数据资源是推动经济发展和社会进步的基石,丰富、透明、完善的农业大数据资源是加快农业信息化建设步伐的前提,先进、有序、完备的农业病虫害监测预警体系是服务绿色农业发展的支撑。该研究试图在研究国内外农业病虫害监测预警体系的基础上,在农业专家的指导下,进行大数据时代农业病虫害监测预警体系构建。山东农业病虫害监测预警体系的建设应主动适应大数据时代的发展需求,分步构建病虫害监测预警体系,分层划分病虫害数据中心工作,合理布局病虫害数据采集站点,科学制定病虫害监测预警任务,共建共享病虫害监测数据信息,有效加强病虫害联合监测预警,努力研发病虫害智能识别终端,为发展现代高效农业提供坚实的保障。 相似文献
7.
Chui Ching Wong Su Ming Thean Youming Ng Joanne Su Lin Kang Tong Yong Ng Man Ling Chau Tse Hsien Koh Kwai Peng Chan 《Zoonoses and public health》2019,66(7):773-782
Hepatitis E virus (HEV) causes 20 million infections worldwide yearly, of which only about 3.3 million are symptomatic. In developed Asian countries, HEV strains detected in human sera and in food sources were genetically similar, suggesting that indigenous HEV infections may be largely food‐borne. To assess the burden of hepatitis E in Singapore, we performed a seroepidemiologic study of the infection. Additionally, we carried out HEV genotyping on archived, residual HEV IgM‐positive serum samples collected between 2014 and 2016 (n = 449), and on pig liver samples (n = 36) purchased from wet markets and supermarkets. Our study shows a rise in hepatitis E incidence (IgM) from 1.7 to 4.1 cases per 100,000 resident population from 2012 to 2016 and an increase in hepatitis E IgG positivity rate among residents from 14% in 2007 to 35% in 2016. Other findings also suggest the epidemiology of hepatitis E in Singapore has shifted, from it being mainly a disease imported from the Indian subcontinent, to one that is now increasingly prevalent in our resident population. Genotypes obtained from 143 human samples identified the majority to be genotype 3 (n = 121), 21 to be genotype 1 and one to be genotype 4. Further phylogenetic analyses suggest genotype 3a to be the cause of indigenous infections in residents, which showed genetic similarity to the genotype 3a strains detected in pig livers. This link between the strains in the majority of human samples and those in pig livers consumed by the public suggests a possible food‐borne route of HEV infection in Singapore. 相似文献
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Epithelial sodium channel (ENaC) is an ion channel widely distributed in various tissues and organs of human. It is composed of 3 homologous subunits and allows the flow of sodium ion across epithelial cells, maintain?ing water-salt balance in the cells. Recent studies show that abnormal expression or dysfunction of ENaC in the respiratory system affects water-salt balance, fluid transportation and cell mobility, and causes abnormal changes of the airway surface liquid level and impaired clearance. ENaC is closely related to the development of respiratory diseases, such as cystic fibrosis, asthma and chronic obstructive pulmonary disease. This article reviews the progress in ENaC structure, function and roles in related respiratory diseases in order to provide a reference for the treatment of the diseases. 相似文献
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