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

  1. Early detection of infestation by mustard aphid, vegetable thrips and two-spotted spider mite in bok choy with deep neural network (DNN) classification model using hyperspectral imaging data

    Computers and Electronics in Agriculture · 2024

    Derrick Nguyen, Arinah Tan, Ronjin Lee, Wei Feng Lim, Tin Fat Hui, Fadhlina Suhaimi

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  2. Visualisation of moisture content distribution maps and classification of freshness level of loquats

    Journal of Food Composition and Analysis · 2024

    Qinglong Meng, Shunan Feng, Tao Tan, Qingchun Wen, Jing Shang

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  3. The Application of Hyperspectral Imaging in Plant Pathology

    Genetic Engineering and Biosafety Journal · 2024

    Narjes Maleki, Davoud Koolivand

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  4. Early Detection of Rubber Tree Powdery Mildew by Combining Spectral and Physicochemical Parameter Features

    Remote Sensing · 2024

    Xiangzhe Cheng, Mengning Huang, Anting Guo, Wenjiang Huang, Zhiying Cai, Yingying Dong, Jing Guo, Zhuoqing Hao, Yanru Huang, Kehui Ren, Bohai Hu, Guiliang Chen, SU Hai-peng, Lanlan Li, Yixian Liu

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  5. Introducing artificial intelligence technology to plant disease management for sustainable agriculture

    Crop Protection · 2024

    Yu Hu, Jiangting Tang, Jie Yang

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  6. Precision Farming Multimodal Technologies Using Optical Sensors for the Detection of Citrus Tristeza Virus Endemics

    Sustainability · 2024

    Athanasios V. Argyriou, Nikolaos Tektonidis, Evangelos Alevizos, Konstantinos P. Ferentinos, Nektarios N. Kourgialas, Matthaios M. Mathioudakis

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  7. A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information

    Plant Methods · 2024

    Zhijuan Duan, Haoqian Li, Chenguang Li, Jun Zhang, Dongfang Zhang, Xiaofei Fan, Xueping Chen

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  8. Early detection and lesion visualization of pear leaf anthracnose based on multi-source feature fusion of hyperspectral imaging

    Frontiers in Plant Science · 2024

    Yingying Zhang, Li Xue, Meiqing Wang, Tao Xu, Kai Huang, Yuanhao Sun, Quanchun Yuan, Xiaohui Lei, Yannan Qi, Xiaolan Lv

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  9. Using Multi-Sensor Data Fusion Techniques and Machine Learning Algorithms for Improving UAV-Based Yield Prediction of Oilseed Rape

    Drones · 2024

    Hongyan Zhu, Shikai Liang, Chengzhi Lin, Yong He, Jun‐Li Xu

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  10. Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease

    Scientific Reports · 2024

    Xuemei Zhang, Boris Alexander Vinatzer, Song Li

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  11. Detecting Botrytis Cinerea Control Efficacy via Deep Learning

    Agriculture · 2024

    Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey A. Kuzmin, И. В. Герасимов, Xiangping Cheng

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  12. A comparative analysis of efficacy of machine learning techniques for disease detection in some economically important crops

    Crop Protection · 2024

    Somya Rakesh Goyal, Vikrant Subhash Kulkarni, Rajpal Choudhary, Rohit Jain

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  13. Multispectral Imaging Technique: Principles and Recent Applications in Food Processing

    Springer eBooks · 2025

    Tej Bhan Singh, Yuvaraj Ghosh, Riya Kundu, Kambhampati Vivek

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  14. Hyperspectral Detection and Differentiation of Various Levels of Fusarium Wilt in Tomato Crop Using Machine Learning and Statistical Approaches

    Journal of Plant Diseases and Protection · 2025

    Sivaganesh, H V Chaitra, ‪Rama Rao Nidamanuri, Ramasandra Govind Sharathchandra, Priya Narayanan

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  15. Multispectral autofluorescence for label free classification of immune cell type and activation/polarization status

    Scandinavian Journal of Immunology · 2025

    Abbas Habibalahi, Ayad G. Anwer, Aline Knab, Shane T. Grey, Ewa Magdalena Goldys, Jared M. Campbell

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  16. 3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging

    Plant Methods · 2025

    Rizos-Theodoros Chadoulis, Ioannis C. Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine L. Kotropoulos

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  17. Addressing computation resource exhaustion associated with deep learning training of three-dimensional hyperspectral images using multiclass weed classification

    Artificial Intelligence in Agriculture · 2025

    Billy Graham Ram, Kirk Howatt, Joseph Mettler, Xin Sun

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  18. Spectral imaging in crop monitoring and disease diagnosis: A comprehensive review

    CABI Reviews · 2025

    Salah‐Eddine Laasli, Fouad Mokrını, Amal Hari, Amine Assouguem, Abdelfattah Amer Dababat, Rachid Lahlali

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  19. High‐performance hyperspectral remote sensing and machine learning algorithms for detection of blister blight in Camellia sinensis

    Agronomy Journal · 2025

    Manisha, Kishor Chandra Kandpal, Meenakshi, Vivek Dhiman, Aparna Maitra Pati, Amit Kumar

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  20. Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview

    Agriculture · 2025

    Mohamed Farag Taha, Hanping Mao, Zhao Zhang, Gamal M. ElMasry, Mohamed A. Awad, Alwaseela Abdalla, Samar Mousa, Abdallah Elshawadfy Elwakeel, Osama Elsherbiny

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  21. Opto-mechanical design of Fourier transform spectral polarization imaging system based on dual Wollaston prisms

    Displays · 2025

    Jingping Zhu, Xiaofang Liu, Angze Li, Angze Li, Yue Liu, Xun Hou

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  22. Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology

    Molecules · 2025

    Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun‐Hu Cheng

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  23. Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms

    Agriculture · 2025

    Hongyan Zhu, Chengzhi Lin, Zhihao Dong, Jun‐Li Xu, Yong He

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  24. Artificial intelligence in tobacco control: A systematic scoping review of applications, challenges, and ethical implications

    International Journal of Medical Informatics · 2025

    David B. Olawade, Charity Aienobe-Asekharen

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  25. Detection of aphid infestation on faba bean (Vicia faba L.) by hyperspectral imaging and spectral information divergence methods

    Journal of Plant Diseases and Protection · 2025

    Ali Saeidan, John C. Caulfield, József Vuts, Ni Yang, Ian Denis Fisk

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  26. Employing Spectral Features to Accelerate Sorghum Phenotyping Against Sap‐Feeding Aphids

    Plant Direct · 2025

    Kumar Shrestha, Kantilata Thapa, Esha Kaler, Misaki Taniguchi, Scott E. Sattler, James C. Schnable, Joe Louis

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  27. Symmetric dual-path phase modulation for channel crosstalk suppression in Fourier transform imaging spectropolarimetry

    Optics and Lasers in Engineering · 2025

    Angze Li, Jingping Zhu, Xiangzhe Zhang, Jinxin Deng, Yucai Kuang, Fengqi Guo, Yue Liu, Xun Hou

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  28. Early detection of mold in cured tobacco leaves based on temporal hyperspectral imaging

    Infrared Physics & Technology · 2025

    Chengyuan Li, Jianwei Ma, Erqiang Zhang, Jinsong Du, Lei Zhang, Min Zhao, Z Y Wang

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  29. Prediction of soybean yellow mottle mosaic virus in soybean using hyperspectral imaging

    Plant Methods · 2025

    Amit Ghimire, Hong Seok Lee, Young-Nam Yoon, Yoon-Ha Kim

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  30. Hyperspectral Analysis of Apricot Quality Parameters Using Classical Machine Learning and Deep Neural Networks

    Venue not supplied by source · 2025

    Mаrtin Dejanov

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  31. Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm

    Theoretical and Applied Genetics · 2025

    Matthew Ulrich, Linda M Brain, Jianqiao Zhang, Anthony R. Gendall, Stefanie Lück, Dimitar Douchkov, Eden Jane Tongson, Peter M. Dracatos

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  32. An improved YOLOv8-seg-based method for key part segmentation of tobacco plants

    Frontiers in Plant Science · 2025

    Yihao Liu, Du Chen, Yawei Zhang, Xin Wang

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  33. Near-Infrared (NIR) Spectroscopy Detects Early Tomato Brown Rugose Fruit Virus (ToBRFV) Infection in Tomato

    Venue not supplied by source · 2025

    Graziella Agrò, Giorgio Masoero, Marta Maria Barone, Salvatore Walter Davino, Slavica Matić

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  34. From machine learning to citizen science: methods for estimating pest disease prevalence

    EFSA Supporting Publications · 2025

    Aristides Moustakas

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  35. Precision agriculture in the age of AI: A systematic review of machine learning methods for crop disease detection

    Smart Agricultural Technology · 2025

    Munir Majdalawieh, Carla Martins, Mohammed Radi, Maher Alaraj, Shafaq Naheed Khan

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  36. High-Throughput Identification and Prediction of Early Stress Markers in Soybean Under Progressive Water Regimes via Hyperspectral Spectroscopy and Machine Learning

    Remote Sensing · 2025

    Caio Almeida de Oliveira, Nicole Ghinzelli Vedana, Weslei Augusto Mendonça, João Vitor Ferreira Gonçalves, Dheynne Heyre Silva de Matos, Renato Herrig Furlanetto, Luís Guilherme Teixeira Crusiol, Amanda Silveira Reis, Werner Camargos Antunes, Roney Berti de Oliveira, Marcelo Luiz Chicati, José Alexandre Melo Demattê, Marcos Rafael Nanni, Renan Falcioni

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  37. Early in-situ detection of tobacco root diseases using a wearable plant sensor

    Industrial Crops and Products · 2025

    Qiang Xu, Junying Li, Yanling Zhang, Jianwei Wang, Taibo Liang, Aiguo Wang, Zijie Liaoyang, Weimin Guo, Xianglin Cheng

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  38. Distributed Carrier Frequency Offset Compensation for Secure Wireless Communication

    Venue not supplied by source · 2025

    Abuu B. Kihero, Muhammad Sohaib J. Solaija, Hüseyin Arslan

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  39. Recent Developments and Applications of Crop Disease Detection, Prediction, and Early Warning: A Review

    Engineering · 2025

    Jingyi Yan, Huarui Wu, Zhihua Diao, Yisheng Miao, Baohua Zhang, Chunjiang Zhao

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  40. Machine learning-enabled UAV hyperspectral identification of tomato spotted wilt virus in tobacco

    Frontiers in Plant Science · 2025

    Mao Chuntang, Yanan Zhao, Leiguang Wang, Ziyi Yang, Weili Kou, Weiheng Xu, Huan Wang, Xiaolong Zhang, Ning Lu, Guangzhi Di

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  41. Early detection of sesame leaf disease using hyperspectral imaging and machine learning: a patch-based spatial-spectral integration approach

    Frontiers in Sustainable Food Systems · 2025

    Tae-An Kang, Chong Koo An, Hoejeong Jeong, You-Jin Park, Jin-Ki Park, Jongsoo Ryu, Hyungjin Bae, Young-Nam Yoon, Hongseok Lee

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  42. Bridging the Lab-to-Field gap in plant disease diagnosis through unsupervised domain adaptation enhanced by background recomposition

    Ecological Informatics · 2025

    Woosang Jeon, Taehyeong Kim, Sanghyeok Choi, Kepeng Yang, Seong-Yeop Kim, Mungyeong Song

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  43. Hyperspectral inversion of leaf nitrogen content in wheat by integrating CWT-SPA feature optimization and XGBoost-SSA model

    Smart Agricultural Technology · 2025

    Chen Juan Gu, Huaiyang Liu, Yunhao You, Qianghao Zeng, Zhenxiang Zhou, Ming Song, Yun Shi, Tong Tian

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  44. Detection of Tobacco Mosaic and Leaf Curl Diseases Using UAV-Based Hyperspectral Imaging and Multifeature Fusion

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2026

    Shujia Zhuang, Jian Guo, Linyi Liu, Xiangzhe Cheng, Wenjiang Huang, Yingying Dong, Kehui Ren, Xiaoyu Geng, Jiangming Ma, Yanhong He, Siyu Liang

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  45. Image-Based Plant Phenotyping for Plant Science

    Elsevier eBooks · 2026

    Annika Fischer, Nushrat Rashid, Anna L. Casto, Samuel Kenney, Autumn Brown, Sunita Lama, Malia A. Gehan

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  46. Early detection of tobacco leaf mildew using multi-attention enhanced 3D residual convolutional Neural network with hyperspectral imaging

    Infrared Physics & Technology · 2026

    Lei Zhang, Lei Zhang, Jiakang Li, Jiakang Li, Chengyuan Li, Jiandong Zhang, Lianlian Wu

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  47. Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis

    Frontiers in Plant Science · 2026

    Peng Luo, Yang Yang, H. Q. Zhang, Man Yi, Xu Zhou, Yide Yang, H.-Y. Chen, Min Yan, Chunxian Jiang

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  48. RGB Image Processing Allows Differentiation of the Effects of Water Deficit and Bacillusaryabhattai on Wheat

    AgriEngineering · 2026

    Jorge González Aguilera, Eder Pereira Neves, Adriano Rasia Maas, Gabriel de Freitas Lima, Beatriz Freitas de Souza, Luiza Guidi Ganzella, Fábio Steiner, Alan Mário Zuffo

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  49. Artificial Intelligence for Reimagining Crop Design

    CABI biotechnology series. · 2026

    Siddhartha Das, Prem S Paul

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  50. Non-Destructive Detection of Heat Stress in Tobacco Plants Using Visible-Near-Infrared Spectroscopy and Aquaphotomics Approach

    AgriEngineering · 2026

    Daniela Moyankova, Petya Stoykova, Antoniya Petrova, N. Christov, Petya Veleva, Gergana Savova, Stefka Atanassova

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