Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning
出版年份 2022 全文链接
标题
Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning
作者
关键词
-
出版物
Plant Methods
Volume 18, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-04-15
DOI
10.1186/s13007-022-00882-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- L-CSMS: novel lightweight network for plant disease severity recognition
- (2021) Shao Xiang et al. Journal of Plant Diseases and Protection
- Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning
- (2021) Canh Nguyen et al. SENSORS
- Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance
- (2021) Renato Herrig Furlanetto et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A vegetable disease recognition model for complex background based on region proposal and progressive learning
- (2021) Ji Zhou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
- (2021) Juanjuan Zhang et al. Plant Methods
- Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review
- (2021) Mas Ira Syafila Mohd Hilmi Tan et al. SENSORS
- Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy
- (2021) Catherine Chan et al. Remote Sensing
- A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
- (2021) Bifta Sama Bari et al. PeerJ Computer Science
- A review of deep learning used in the hyperspectral image analysis for agriculture
- (2021) Chunying Wang et al. ARTIFICIAL INTELLIGENCE REVIEW
- Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)
- (2021) Xinyue Shu et al. BMC PLANT BIOLOGY
- Plant diseases recognition on images using convolutional neural networks: A systematic review
- (2021) André Abade et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Tomato plant disease detection using transfer learning with C-GAN synthetic images
- (2021) Amreen Abbas et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Development of markers for identification and maker-assisted breeding of Xa7 gene in rice (Oryza sativa L.)
- (2021) Pengcheng Liu et al. EUPHYTICA
- Detection of chlorpyrifos and carbendazim residues in the cabbage using visible/near-infrared spectroscopy combined with chemometrics
- (2021) Yi Lu et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
- (2021) Ana I. de Castro et al. Remote Sensing
- Hyperspectral imaging technology combined with deep learning for hybrid okra seed identification
- (2021) Zeyu Yu et al. BIOSYSTEMS ENGINEERING
- Image processing and prediction of leaf area in cereals: A comparison of Artificial Neural Networks, Adaptive Neuro‐Fuzzy Inference System, and Regression methods
- (2020) Hossein Sabouri et al. CROP SCIENCE
- Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards
- (2020) Nele Bendel et al. Plant Methods
- Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification
- (2020) Ran Meng et al. Remote Sensing
- Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox
- (2020) Behnood Rasti et al. IEEE Geoscience and Remote Sensing Magazine
- PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network
- (2019) Qiaokang Liang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Plant disease identification from individual lesions and spots using deep learning
- (2019) Jayme Garcia Arnal Barbedo BIOSYSTEMS ENGINEERING
- Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging
- (2019) Xiantao He et al. MOLECULES
- Monitoring plant diseases and pests through remote sensing technology: A review
- (2019) Jingcheng Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Broad-spectrum resistance to bacterial blight in rice using genome editing
- (2019) Ricardo Oliva et al. NATURE BIOTECHNOLOGY
- Plant Disease Detection and Classification by Deep Learning
- (2019) Saleem et al. Plants-Basel
- Understanding sheath blight resistance in rice: the road behind and the road ahead
- (2019) Kutubuddin A. Molla et al. PLANT BIOTECHNOLOGY JOURNAL
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Dimensionality Reduction of Hyperspectral Imagery Based on Spatial–Spectral Manifold Learning
- (2019) Hong Huang et al. IEEE Transactions on Cybernetics
- Deep Visual Attention Prediction
- (2018) Wenguan Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Non-destructive estimation of the leaf weight and leaf area in cacao ( Theobroma cacao L.)
- (2018) Juan Carlos Suárez Salazar et al. SCIENTIA HORTICULTURAE
- Discrimination of areas infected with coffee leaf rust using a vegetation index
- (2018) Naoya Katsuhama et al. Remote Sensing Letters
- Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology
- (2018) Jinnuo Zhang et al. Applied Sciences-Basel
- Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images
- (2017) Uwe Knauer et al. Plant Methods
- Non-destructive estimation of leaf area of durian ( Durio zibethinus ) – An artificial neural network approach
- (2017) Kishor Kumar M et al. SCIENTIA HORTICULTURAE
- Hyperspectral Imaging for Determining Pigment Contents in Cucumber Leaves in Response to Angular Leaf Spot Disease
- (2016) Yan-Ru Zhao et al. Scientific Reports
- Quantitative Trait Loci Mapping for Bacterial Blight Resistance in Rice Using Bulked Segregant Analysis
- (2014) Xueying Han et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Huanglongbing (Citrus Greening) Detection Using Visible, Near Infrared and Thermal Imaging Techniques
- (2013) Sindhuja Sankaran et al. SENSORS
- Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops
- (2011) D. Moshou et al. BIOSYSTEMS ENGINEERING
- Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
- (2010) T. Rumpf et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
- (2010) C. H. Bock et al. CRITICAL REVIEWS IN PLANT SCIENCES
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