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RESEARCH PAPER · Scientific Reports · 2017

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

Hongyan Zhu, Bingquan Chu, Chu Zhang, Fei Liu, Linjun Jiang, Yong He

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Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning ClassifiersOriginalFast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System45Identifying animal species in NIR hyperspectral images of processed animal proteins (PAPs): Comparison of multivariate techniques15Multispectral Imaging for Plant Food Quality Analysis and Visualization145Using a Combination of Spectral and Textural Data to Measure Water-Holding Capacity in Fresh Chicken Breast Fillets11Hyperspectral imaging for predicting the allicin and soluble solid content of garlic with variable selection algorithms and chemometric models48A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms57A review of neural networks in plant disease detection using hyperspectral data402Mapping the Pungency of Green Pepper Using Hyperspectral Imaging17Non-destructive detection of Flos Lonicerae treated by sulfur fumigation based on hyperspectral imaging16Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art362Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms147Rapid prediction of chlorophylls and carotenoids content in tea leaves under different levels of nitrogen application based on hyperspectral imaging108Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques57Automatic Detection of Motorcycle on the Road using Digital Image Processing3Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas71Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN)150Plant Hyperspectral Imaging3SPA-Based Methods for the Quantitative Estimation of the Soil Salt Content in Saline-Alkali Land from Field Spectroscopy Data: A Case Study from the Yellow River Irrigation Regions51Potential of hyperspectral imaging for nondestructive determination of chlorogenic acid content in Flos Lonicerae25Identification of wheat powdery mildew using in-situ hyperspectral data and linear regression and support vector machines27Sensors in Agriculture1Evaluating the potential of aerial remote sensing in flue-cured tobacco0NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface35Plant disease identification using explainable 3D deep learning on hyperspectral images394Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics55High-quality panchromatic image acquisition method for snapshot hyperspectral imaging Fourier transform spectrometer10Optical sensing for early spring freeze related blueberry bud damage detection: Hyperspectral imaging for salient spectral wavelengths identification37Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms100Plant Disease Detection and Classification by Deep Learning886Application of Hyperspectral Imaging Technology in Classification of Tobacco Leaves and Impurities9Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence31Study on Venation Visualization System Using Hyperspectral Images and Multi-Layer Perceptron Classifier2Nitrogen status assessment for multiple cultivars of strawberries using portable NIR spectrometers combined with cultivar recognition and multivariate analysis2Detección temprana de la Sigatoka Negra en hojas de banano mediante imágenes hiperespectrales: Un enfoque aplicando los métodos PLS-PLR y HS-BIPLOT0Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis8Plant Disease Detection: An Augmented Approach Using CNN and Generative Adversarial Network (GAN)7Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds24Multispectral characterisation of mesenchymal stem/stromal cells: age, cell cycle, senescence, and pluripotency4Graph Constraint and Collaborative Representation Classifier Steered Discriminative Projection with Applications for the Early Identification of Cucumber Diseases8Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging35High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation63From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy280Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images127Detection of effects of three different plant pests for chrysanthemum flowers by using image processing and spectral imaging1NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves73Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis–NIR Spectroscopy34Extraction of Reflectance Maps for Smart Farming Applications Using Unmanned Aerial Vehicles8Early detection of black Sigatoka in banana leaves using hyperspectral images39A review of computer vision technologies for plant phenotyping391Dark‐field hyperspectral imaging for label free detection of nano‐bio‐materials42Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence19Predictive spectral analysis using an end-to-end deep model from hyperspectral images for high-throughput plant phenotyping67Discrimination of elemental responsiveness to tumor chemotherapy by laser-induced breakdown spectroscopy coupled with chemometric methods9The oat-crown rust pathosystem: an interaction of a plant, a pathogen, and time0Modern Tools for Detection and Diagnosis of Plant Pathogens5Performance of deep learning vs machine learning in plant leaf disease detection653A study of starch content detection and the visualization of fresh-cut potato based on hyperspectral imaging24Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review503Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms149Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning281Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera18Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning137Complex Analysis of the Efficiency of Difference Reflectance Indices on the Basis of 400–700 nm Wavelengths for Revealing the Influences of Water Shortage and Heating on Plant Seedlings14Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed101A novel NIRS modelling method with OPLS-SPA and MIX-PLS for timber evaluation8Detection of chlorpyrifos and carbendazim residues in the cabbage using visible/near-infrared spectroscopy combined with chemometrics63Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non-Destructive Disease Detection43Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests78Prediction of addiction to drugs and alcohol using machine learning: A case study on Bangladeshi population18Study on starch content detection and visualization of potato based on hyperspectral imaging59Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research264Diagnosing the symptoms of sheath blight disease on rice stalk with an in-situ hyperspectral imaging technique44Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and Machine Learning51Rice Leaf Blast Classification Method Based on Fused Features and One-Dimensional Deep Convolutional Neural Network34Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance16Hyperspectral imaging for early identification of strawberry leaves diseases with machine learning and spectral fingerprint features69Hyperspectral reflectance for non-invasive early detection of black shank disease in flue-cured tobacco4Divergent abiotic spectral pathways unravel pathogen stress signals across species101Forrest W. Nutter, Jr.: a career in phytopathometry0Support Vector Machine in Precision Agriculture: A review250Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale31Interpretabilidad en el campo de la detección de enfermedades en las plantas: Una revisión5Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections18Clinical applications of spectroscopic techniques in conjunction with multivariate analysis in virus diagnosis1On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey156Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based Machine Learning17Application of hyperspectral remote sensing to monitor infection of crops by pathogens0Machine Learning in Plant Disease Research4Predictive Models for Plant Disease Assessment0Applications of hyperspectral imaging in plant phenotyping267Pest identification via hyperspectral image and deep learning49Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review263Determination of total flavonoid and polysaccharide content in Anoectochilus formosanus in response to different light qualities using hyperspectral imaging18Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes28Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management34A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves52Digital Agriculture, Methods and Applications8Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology—A Multidisciplinary Review73Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm41Desarrollo de modelos para la identificación de variedades y fitopatologías mediante técnicas fotónicas0Hyperspectral Sensing of Plant Diseases: Principle and Methods145Potato Late Blight Severity and Epidemic Period Prediction Based on Vis/NIR Spectroscopy28GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery13An automatic fluorescence phenotyping platform to evaluate dynamic infection process of Tobacco mosaic virus-green fluorescent protein in tobacco leaves11Effective Methods Based on Distinct Learning Principles for the Analysis of Hyperspectral Images to Detect Black Sigatoka Disease17Towards the Modeling and Prediction of the Yield of Oilseed Crops: A Multi-Machine Learning Approach17Perspective Chapter: Perspectives on Pathogenic Plant Virus Control with Essential Oils for Sustainability of Agriculture 4.01Detection of Drug Abuse Using Rough Set and Neural Network-Based Elevated Mathematical Predictive Modelling5Cotton aphid infestation monitoring using Sentinel-2 MSI imagery coupled with derivative of ratio spectroscopy and random forest algorithm18Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy38Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging16Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features134Pest and Disease Management7Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances301Edge AI for Real-Time and Intelligent Agriculture3Detecting Grapevine Virus Infections in Red and White Winegrape Canopies Using Proximal Hyperspectral Sensing20Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods35Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review121Application of image processing and transfer learning for the detection of rust disease54Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning24Applications of Hyperspectral Imaging Technology Combined with Machine Learning in Quality Control of Traditional Chinese Medicine from the Perspective of Artificial Intelligence: A Review77NLOST: Non-Line-of-Sight Imaging with Transformer32Online small-object anti-fringe sorting of tobacco stem impurities based on hyperspectral superpixels16Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM41Non−Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy16Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches2Exploring the Potential of Proximal Remote Sensing in Plant Stress Phenotyping: A Comprehensive Review4Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review70Hyperspectral Channel-Modulated Static Birefringent Fourier Transform Imaging Spectropolarimeter with Zoomable Spectral Resolution4Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits13A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology18Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques25Non-destructive prediction of isoflavone and starch by hyperspectral imaging and deep learning in Puerariae Thomsonii Radix21Apprentissage profond multimodal pour la détection des maladies des plantes à l'aide de la télédétection et de l'analyse des données climatiques0Integration of Vis–NIR Spectroscopy and Machine Learning Techniques to Predict Eight Soil Parameters in Alpine Regions14Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning9Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis20A Novel Feature Construction Method for Tobacco Chlorophyll Estimation Based on Integral of UAV-Borne Hyperspectral Reflectance Curve3Disease and Pest Control Through Advance Technology7Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review36Machine Learning (ML) Algorithms on IoT and Drone Data for Smart Farming6Multi-Convolution Fusion Based Hyperspectral Non-Tobacco-Leaf Materials Detection Method2Water pollution and contaminants1Oocyte and cumulus cell cooperativity and metabolic plasticity under the direction of oocyte paracrine factors17Clarification of Water Stress in Apple Seedlings Using HSI Texture with Machine Learning Technique0Detection of wheat saccharification power and protein content using stacked models integrated with hyperspectral imaging26Use of HSI Coupled with Machine Learning for the Identification of Water Stress in Pear Seedling Leaves1Essential spectral pixels-based improvement of UMAP classifying hyperspectral imaging data to identify minor compounds in food matrix23Highlighting Water Stress in Apple Seedlings Using HSI Texture with Machine Learning Technique0Untitled work0

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  1. Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System

    Sensors · 2017-10-27

    Yangyang Fan, Tao Wang, Zhengjun Qiu, Jiyu Peng, Chu Zhang, Yong He

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  2. Identifying animal species in NIR hyperspectral images of processed animal proteins (PAPs): Comparison of multivariate techniques

    Chemometrics and Intelligent Laboratory Systems · 2017-12-08

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  3. Multispectral Imaging for Plant Food Quality Analysis and Visualization

    Comprehensive Reviews in Food Science and Food Safety · 2018-01-01

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  4. Using a Combination of Spectral and Textural Data to Measure Water-Holding Capacity in Fresh Chicken Breast Fillets

    Applied Sciences · 2018-02-28

    Beibei Jia, Wei Wang, Seung-Chul Yoon, Hong Zhuang, Yufeng Li

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  5. Hyperspectral imaging for predicting the allicin and soluble solid content of garlic with variable selection algorithms and chemometric models

    Journal of the Science of Food and Agriculture · 2018-03-15

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  6. A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms

    Scientific Reports · 2018-05-02

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  7. A review of neural networks in plant disease detection using hyperspectral data

    Information Processing in Agriculture · 2018-05-09

    Kamlesh Golhani, Siva K. Balasundram, Ganesan Vadamalai, Biswajeet Pradhan

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  8. Mapping the Pungency of Green Pepper Using Hyperspectral Imaging

    Food Analytical Methods · 2018-05-11

    Anisur Rahman, Hoonsoo Lee, Moon S. Kim, Byoung–Kwan Cho

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  9. Non-destructive detection of Flos Lonicerae treated by sulfur fumigation based on hyperspectral imaging

    Journal of Food Measurement & Characterization · 2018-08-11

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  10. Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art

    Annual Review of Phytopathology · 2018-08-25

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  11. Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms

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    Julio M. Duarte‐Carvajalino, Diego Fernando Alzate Velásquez, Andrés A. Ramirez, Juan David Santa Sepúlveda, Alexandra Estefania Fajardo Rojas, Mauricio Soto Suárez

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  12. Rapid prediction of chlorophylls and carotenoids content in tea leaves under different levels of nitrogen application based on hyperspectral imaging

    Journal of the Science of Food and Agriculture · 2018-10-09

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  13. Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques

    Remote Sensing · 2018-12-16

    Jingjing Cao, Kai Liu, Lin Liu, Yuanhui Zhu, Jun Li, Zhi He

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  14. Automatic Detection of Motorcycle on the Road using Digital Image Processing

    Scientific Journal of Informatics · 2018-12-30

    Sutikno Sutikno, Helmie Arif Wibawa, Ragil Saputra

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  15. Assessment of foliar dust using Hyperion and Landsat satellite imagery for mine environmental monitoring in an open cast iron ore mining areas

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  16. Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN)

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    Dongyi Wang, Robert Vinson, Maxwell Holmes, Gary E. Seibel, Avital Bechar, Shimon Y. Nof, Yang Tao

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  17. Plant Hyperspectral Imaging

    Encyclopedia of Life Sciences · 2019-03-20

    Camilo L. M. Morais, Holly J. Butler, Martin Robert McAinsh, Francis L Martin

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  18. SPA-Based Methods for the Quantitative Estimation of the Soil Salt Content in Saline-Alkali Land from Field Spectroscopy Data: A Case Study from the Yellow River Irrigation Regions

    Remote Sensing · 2019-04-23

    Sijia Wang, Yunhao Chen, Mingguo Wang, Yifei Zhao, Jing Li

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  19. Potential of hyperspectral imaging for nondestructive determination of chlorogenic acid content in Flos Lonicerae

    Journal of Food Measurement & Characterization · 2019-05-31

    Qingqing Wang, Yunhong Liu, Xiuwei Gao, Anguo Xie, Huichun Yu

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  20. Identification of wheat powdery mildew using in-situ hyperspectral data and linear regression and support vector machines

    Journal of Plant Pathology · 2019-06-08

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  21. Sensors in Agriculture

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  22. Evaluating the potential of aerial remote sensing in flue-cured tobacco

    VTechWorks (Virginia Tech) · 2019-06-18

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  23. NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface

    Sensors · 2019-07-17

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  24. Plant disease identification using explainable 3D deep learning on hyperspectral images

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  25. Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics

    Journal of the Science of Food and Agriculture · 2019-08-31

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  26. High-quality panchromatic image acquisition method for snapshot hyperspectral imaging Fourier transform spectrometer

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  27. Optical sensing for early spring freeze related blueberry bud damage detection: Hyperspectral imaging for salient spectral wavelengths identification

    Computers and Electronics in Agriculture · 2019-10-10

    Zongmei Gao, Yanru Zhao, Lav Ramchandra Khot, Gwen–Alyn Hoheisel, Qin Zhang

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  28. Early detection of tomato spotted wilt virus infection in tobacco using the hyperspectral imaging technique and machine learning algorithms

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  29. Plant Disease Detection and Classification by Deep Learning

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  30. Application of Hyperspectral Imaging Technology in Classification of Tobacco Leaves and Impurities

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  31. Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence

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  32. Study on Venation Visualization System Using Hyperspectral Images and Multi-Layer Perceptron Classifier

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  33. Nitrogen status assessment for multiple cultivars of strawberries using portable NIR spectrometers combined with cultivar recognition and multivariate analysis

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  34. Detección temprana de la Sigatoka Negra en hojas de banano mediante imágenes hiperespectrales: Un enfoque aplicando los métodos PLS-PLR y HS-BIPLOT

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  35. Nitrogen Status Assessment for Multiple Cultivars of Strawberries Using Portable FT-NIR Spectrometers Combined With Cultivar Recognition and Multivariate Analysis

    IEEE Access · 2020-01-01

    Gangshan Wu, Qiyou Jiang, Yuhao Bai, Chongfeng Tian, Wei Pan, Xinxin Jin, Baohua Zhang

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  36. Plant Disease Detection: An Augmented Approach Using CNN and Generative Adversarial Network (GAN)

    Communications in computer and information science · 2020-01-01

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  37. Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds

    Spectroscopy Letters · 2020-02-12

    Liu Zhang, Zhenhong Rao, Haiyan Ji

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  38. Multispectral characterisation of mesenchymal stem/stromal cells: age, cell cycle, senescence, and pluripotency

    Label-free Biomedical Imaging and Sensing (LBIS) · 2020-02-20

    Jared M. Campbell, Abbas Habibalahi, Saabah B. Mahbub, Sharon Paton, Stan Gronthos, Ewa Magdalena Goldys

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  39. Graph Constraint and Collaborative Representation Classifier Steered Discriminative Projection with Applications for the Early Identification of Cucumber Diseases

    Sensors · 2020-02-23

    Yuhua Li, Fengjie Wang, Ye Sun, Yingxu Wang

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  40. Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging

    Journal of the Science of Food and Agriculture · 2020-03-23

    Yujie Wang, Luqing Li, Shanshan Shen, Ying Liu, Jingming Ning, Zhengzhu Zhang

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  41. High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation

    Journal of Plant Physiology · 2020-04-18

    Renan Falcioni, Thaise Moriwaki, Mariana Carmona Pattaro, Renato Herrig Furlanetto, Marcos Rafael Nanni, Werner Camargos Antunes

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  42. From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy

    Phytopathology Research · 2020-04-25

    Clive Howard Bock, Jayme Garcia Arnal Barbedo, Emerson M. Del Ponte, David Bohnenkamp, Anne‐Katrin Mahlein

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  43. Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images

    Remote Sensing · 2020-04-30

    Anting Guo, Wenjiang Huang, Huichun Ye, Yingying Dong, Huiqin Ma, Yu Ren, Chao Ruan

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  44. Detection of effects of three different plant pests for chrysanthemum flowers by using image processing and spectral imaging

    Journal of Physics Conference Series · 2020-05-01

    Carlos Andres Sanchez-Rios, Andrés Mario Cardona, A Echavarría, Jorge Alexis Herrera-Ramírez

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  45. NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves

    Infrared Physics & Technology · 2020-05-19

    Yujie Wang, Ge Jin, Luqing Li, Ying Liu, Yusef Kianpoor Kalkhajeh, Jingming Ning, Zhengzhu Zhang

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  46. Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis–NIR Spectroscopy

    Remote Sensing · 2020-06-13

    Antonios Morellos, Georgios Tziotzios, Chrysoula G. Orfanidou, Xanthoula Eirini Pantazi, Christos Sarantaris, Varvara I. Maliogka, Thomas Alexandridis, Dimitrios Moshou

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  47. Extraction of Reflectance Maps for Smart Farming Applications Using Unmanned Aerial Vehicles

    International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) · 2020-07-20

    George Livanos, Dimitris Ramnalis, Vassilios Polychronos, Panagiota Balomenou, Panagiotis G. Sarigiannidis, Georgios A. Kakamoukas, Thomi Karamitsou, Pantelis A. Angelidis, Michalis Zervakis

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  48. Early detection of black Sigatoka in banana leaves using hyperspectral images

    Applications in Plant Sciences · 2020-08-01

    Jorge Gustavo Ugarte Fajardo, Oswaldo Bayona, Ronald Criollo, Juan Manuel Cevallos‐Cevallos, María Gabriela Maridueña-Zavala, Daniel Ochoa, José Luis Vicente Villardón

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  49. A review of computer vision technologies for plant phenotyping

    Computers and Electronics in Agriculture · 2020-08-05

    Zhenbo Li, Ruohao Guo, Meng Li, Yaru Chen, Guangyao Li

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  50. Dark‐field hyperspectral imaging for label free detection of nano‐bio‐materials

    Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · 2020-08-05

    Nishir Mehta, Sushant P. Sahu, Shahensha M. Shaik, Ram V. Devireddy, Manas Ranjan Gartia

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