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

  1. Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence

    GeroScience · 2020

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

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  2. Predictive spectral analysis using an end-to-end deep model from hyperspectral images for high-throughput plant phenotyping

    Computers and Electronics in Agriculture · 2020

    Tanzeel U. Rehman, Dongdong Ma, Liangju Wang, Libo Zhang, Jian Jin

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  3. Discrimination of elemental responsiveness to tumor chemotherapy by laser-induced breakdown spectroscopy coupled with chemometric methods

    Laser Physics · 2020

    Qingyu Lin, Hongyan Wei, Pengkun Yin, Yixiang Duan, Fang Bian

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  4. The oat-crown rust pathosystem: an interaction of a plant, a pathogen, and time

    University of Minnesota Digital Conservancy (University of Minnesota) · 2020

    Ian McNish

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  5. Modern Tools for Detection and Diagnosis of Plant Pathogens

    Springer eBooks · 2020

    Madhurababu Kunta, Jong‐Won Park, W. Evan Braswell, John V. da Graça, Perry Edwards

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  6. Performance of deep learning vs machine learning in plant leaf disease detection

    Microprocessors and Microsystems · 2020

    R. Sujatha, Jyotir Moy Chatterjee, Noor Zaman Jhanjhi, Sarfraz Nawaz Brohi

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  7. A study of starch content detection and the visualization of fresh-cut potato based on hyperspectral imaging

    RSC Advances · 2021

    Fuxiang Wang, Chunguang Wang, Shiyong Song

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  8. Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

    Current Research in Food Science · 2021

    Dhritiman Saha, Annamalai Manickavasagan

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  9. Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms

    Big Data and Cognitive Computing · 2021

    Gianni Fenu, Francesca Maridina Malloci

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  10. Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

    Sensors · 2021

    Canh Nguyen, Vasit Sagan, Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Sourav Bhadra, Misha T. Kwasniewski

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  11. Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera

    International Journal of Remote Sensing · 2021

    Renato Herrig Furlanetto, Marcos Rafael Nanni, Luís Guilherme Teixeira Crusiol, Guilherme Fernando Capristo Silva, Adílson de Oliveira, R. N. R. Sibaldelli

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  12. Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning

    Forest Ecology and Management · 2021

    Bizhi Wu, Anjie Liang, Huafeng Zhang, Tengfei Zhu, Zhiying Zou, Deming Yang, Wenyu Tang, Jian Li, Jun Su

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  13. Complex 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 Seedlings

    Remote Sensing · 2021

    Ekaterina Sukhova, Lyubov Yudina, Ekaterina Gromova, Anastasiia Ryabkova, Dmitry Kior, Vladimir Sukhov

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  14. Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed

    Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2021

    Zheli Wang, Shuxiang Fan, Jingzhu Wu, Chi Zhang, Fengying Xu, Xuhai Yang, Jiangbo Li

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  15. A novel NIRS modelling method with OPLS-SPA and MIX-PLS for timber evaluation

    Journal of Forestry Research · 2021

    Jinhao Chen, Huilig Yu, Dapeng Jiang, Yizhuo Zhang, Keqi Wang

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  16. Detection of chlorpyrifos and carbendazim residues in the cabbage using visible/near-infrared spectroscopy combined with chemometrics

    Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2021

    Yi Lu, Xiaolong Li, W.-J. Li, Tingting Shen, Zhenni He, Mengqi Zhang, Hao Zhang, Yongqi Sun, Fei Liu

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  17. Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non-Destructive Disease Detection

    Agriculture · 2021

    Catello Pane, Gelsomina Manganiello, Nicola Nicastro, Teodoro Cardi, Francesco Carotenuto

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  18. Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

    Inventions · 2021

    Bhuwan Kashyap, Ratnesh Kumar

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  19. Prediction of addiction to drugs and alcohol using machine learning: A case study on Bangladeshi population

    International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2021

    Md. Ariful Islam Arif, Saiful Islam Sany, Farah Sharmin, Md. Sadekur Rahman, Md. Tarek Habib

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  20. Study on starch content detection and visualization of potato based on hyperspectral imaging

    Food Science & Nutrition · 2021

    Fuxiang Wang, Chunguang Wang, Shiyong Song, Shengshi Xie, Feilong Kang

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  21. Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research

    Remote Sensing · 2021

    Maryam Ouhami, Adel Hafiane, Youssef Es-Saady, Mohamed El Hajji, Raphaël Canals

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  22. Diagnosing the symptoms of sheath blight disease on rice stalk with an in-situ hyperspectral imaging technique

    Biosystems Engineering · 2021

    Jingcheng Zhang, Yangyang Tian, Lijie Yan, Bin Wang, Ling Wang, Junfeng Xu, Kaihua Wu

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  23. Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and Machine Learning

    Remote Sensing · 2021

    Xing Wei, Marcela A. Johnson, David B. Langston, Hillary L. Mehl, Song Li

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  24. Rice Leaf Blast Classification Method Based on Fused Features and One-Dimensional Deep Convolutional Neural Network

    Remote Sensing · 2021

    Shuai Feng, Yingli Cao, Tongyu Xu, Fenghua Yu, Dongxue Zhao, Guosheng Zhang

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  25. Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance

    PLoS ONE · 2021

    Shuang Liu, Haiye Yu, Yuanyuan Sui, Haigen Zhou, Junhe Zhang, Lijuan Kong, Jingmin Dang, Lei Zhang

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  26. Hyperspectral imaging for early identification of strawberry leaves diseases with machine learning and spectral fingerprint features

    Infrared Physics & Technology · 2021

    Qiyou Jiang, Gangshan Wu, Chongfeng Tian, Na Li, Huan Yang, Yuhao Bai, Baohua Zhang

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  27. Hyperspectral reflectance for non-invasive early detection of black shank disease in flue-cured tobacco

    Journal of Spectral Imaging · 2021

    Austin Craig Hayes, T. David Reed

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  28. Divergent abiotic spectral pathways unravel pathogen stress signals across species

    Nature Communications · 2021

    Pablo J. Zarco‐Tejada, T. Poblete, C. Camino, Victoria Gonzalez-Dugo, Rocío Calderón, A. Hornero, Rocío Hernández‐Clemente, Miguel Román-Écija, María Pilar Velasco-Amo, Blanca B. Landa, Pieter S. A. Beck, María Saponari, Donato Boscia, Juan A Navas‐Cortés

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  29. Forrest W. Nutter, Jr.: a career in phytopathometry

    Tropical Plant Pathology · 2021

    Laurence V. Madden, Paul David Esker, Sarah Jane Pethybridge

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  30. Support Vector Machine in Precision Agriculture: A review

    Computers and Electronics in Agriculture · 2021

    Zhi Hong Kok, Abdul Rashid Mohamed Shariff, Meftah Salem M. Alfatni, Siti Khairunniza Bejo

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  31. Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale

    mSystems · 2021

    Kaitlin M. Gold

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  32. Interpretabilidad en el campo de la detección de enfermedades en las plantas: Una revisión

    Revista Facultad de Ingeniería · 2021

    Daniel-David Leal-Lara, Julio Barón-Velandia, Camilo-Enrique Rocha-Calderón

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  33. Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections

    Scientific Reports · 2021

    Sanja Brdar, Marko N. Panić, Esther Hogeveen-van Echtelt, Manon Mensink, Željana Grbović, Ernst J. Woltering, Aneesh Chauhan

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  34. Clinical applications of spectroscopic techniques in conjunction with multivariate analysis in virus diagnosis

    Biomedical Spectroscopy and Imaging · 2021

    Marfran C. D. Santos, João V. M. Mariz, Raissa V. O. Silva, Camilo L. M. Morais, Kássio M. G. Lima

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  35. On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey

    Agriculture · 2021

    Houda Orchi, Mohamed Sadik, Mohammed Khaldoun

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  36. Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based Machine Learning

    Remote Sensing · 2021

    Catello Pane, Gelsomina Manganiello, Nicola Nicastro, Francesco Carotenuto

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  37. Application of hyperspectral remote sensing to monitor infection of crops by pathogens

    Progress in Plant Protection · 2022

    Andrzej Wójtowicz

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  38. Machine Learning in Plant Disease Research

    Springer eBooks · 2022

    Shyamasree Ghosh, Rathi Dasgupta

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  39. Predictive Models for Plant Disease Assessment

    Springer eBooks · 2022

    Imran Ul Haq, Nabeeha Aslam Khan, Muhammad Kaleem Sarwar

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  40. Applications of hyperspectral imaging in plant phenotyping

    Trends in Plant Science · 2022

    Rijad Sarić, Viet Duc Nguyen, Timothy Burge, Oliver Berkowitz, Martin Trtílek, James Whelan, Mathew G. Lewsey, Eddie Custovic

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  41. Pest identification via hyperspectral image and deep learning

    Signal Image and Video Processing · 2022

    Zhitao Xiao, Kai Yin, Lei Geng, Jun Wu, Fang Zhang, Yanbei Liu

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  42. Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review

    Sensors · 2022

    Anton Terentev, В. И. Долженко, Alexander A. Fedotov, Danila Eremenko

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  43. Determination of total flavonoid and polysaccharide content in Anoectochilus formosanus in response to different light qualities using hyperspectral imaging

    Infrared Physics & Technology · 2022

    Xuan Chu, Rui Li, Hongyu Wei, Hongli Liu, Yinghui Mu, Hongzhe Jiang, Zhiyu Ma

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  44. Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes

    Biogerontology · 2022

    Jared M. Campbell, Saabah B. Mahbub, Michael J. Bertoldo, Abbas Habibalahi, Dale Mark Goss, William J. Ledger, Robert Bruce Gilchrist, Lindsay E. Wu, Ewa Magdalena Goldys

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  45. Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management

    Virology Journal · 2022

    Dibyendu Ghosh, Srija Chakraborty, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty, Supriya Chakraborty

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  46. A Hyperspectral Data 3D Convolutional Neural Network Classification Model for Diagnosis of Gray Mold Disease in Strawberry Leaves

    Frontiers in Plant Science · 2022

    Dae-Hyun Jung, Jeong‐Do Kim, Ho‐Youn Kim, Taek Sung Lee, Hyoung Seok Kim, Soo Hyun Park

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  47. Digital Agriculture, Methods and Applications

    IntechOpen eBooks · 2022

    Redmond R. Shamshiri, Sanaz Shafian

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  48. Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology—A Multidisciplinary Review

    Remote Sensing · 2022

    Yeniu Mickey Wang, Bertram Ostendorf, Deepak Gautam, Nuredin Habili, Vinay Pagay

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  49. Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm

    Frontiers in Plant Science · 2022

    Dongxue Zhao, Shuai Feng, Yingli Cao, Fenghua Yu, Qiang Guan, Jinpeng Li, Guosheng Zhang, Tongyu Xu

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  50. Desarrollo de modelos para la identificación de variedades y fitopatologías mediante técnicas fotónicas

    Venue not supplied by source · 2022

    Sergio Borraz‐Martínez

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