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

  1. Enabling rapid and accurate grand discrimination of flue-cured tobacco: a near-infrared hyperspectral and machine learning approach

    Frontiers in Plant Science · 2026

    Jiang Zou, Hongbo Gao, Duo Wang, Yunquan Chen, Shiyou Deng, Nuo Shi, Shengjie Yang, Chunlin Huang, Dingchun Zi, Yu Du, Yuxiang Bai, N. WANG, Ge Wang, Zhengling Liu, Junhua Zhang, Peng Zhou

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  2. Evaluating low-cost hyperspectral and RGB fusion with PSNet for presymptomatic detection of Albugo candida in Arabidopsis thaliana

    bioRxiv (Cold Spring Harbor Laboratory) · 2026

    Gabriel Uzieme Crabb, Yiding Zhao, Nicholas K. Priest, Xi Chen, Volkan Çevik

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  3. Potato Late Blight Disease Detection on UAV Multispectral Imagery

    Remote Sensing · 2026

    Mohadeseh Kaviani, Brigitte Leblon, Thangarajah Akilan, Dzhamal Y. Amishev, Armand LaRocque, Ata Haddadi

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  4. Field-based hyperspectral monitoring of southern corn rust incubation

    Smart Agricultural Technology · 2026

    Gao Jianmeng, Qiuyu Sun, Yanli Fu, Ma Yh, Bojia Fan, Ziqian Yang, Zhanhong Ma

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  5. Tobacco leaf disease hole detection method based on spectral–spatial fusion multimodal transformer

    Industrial Crops and Products · 2026

    Jie Zhang, Zhanhao Zhang, Dayong Xu, Jiakang Li, Hongfu Zhu, Duanfei Wang, Ruidong Li, Jinsong Du, Fengxian Wang

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  6. Multi-Organ Impact of Smoking Using Explainable Artificial Intelligence: Prediction, Validation, and Organ Impact Pattern

    Cureus Journal of Computer Science. · 2026

    Somashekar V

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  7. MCAD-DETR: a real-time lightweight tobacco leaf disease and damage detection model

    Journal of Real-Time Image Processing · 2026

    Wenjun Zhao, Hao Wu, Hui Gao, Haofeng Wang

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  8. Use of machine learning techniques to detect and classify selected fungal diseases in rice crop using hyperspectral imaging

    ORYZA- An International Journal on Rice · 2026

    Narayan Totaram Borkar, Kamal Nayan Agrawal, Subir Kumar Chakraborty, Narendra Singh Chandel, Tripathi Mk, K Sonamani Singh, Manoj Kumar, Konga Upender

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  9. From detection to action: artificial intelligence in integrated pest and invasive plant management

    Advanced Biotechnology · 2026

    Yaoxing Li, Lianming Zha, Weitong Liu, Feng Luo, C Xu

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  10. Pre-Symptomatic Crop Intelligence: A Closed-Loop Framework for Anticipatory, Confidence-Aware Decision-Making in Site-Specific Crop Protection

    Research Square · 2026

    Prabakaran S, Vimal Raja M, Sanjula S, Neethirajan P, Akshaya M

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  11. Decoding viral stress in crops: a physiological perspective on hyperspectral imaging

    Plant Physiology Reports · 2026

    Lalit P. Patil, Mahesh Daga Patil, Joshua Pamilerin Omotosho, P D Biradar, Shaivya Singh, Halima Khatoon, Bharat Raj Meena, Shubhangi G. Nile, Babburi Sai Maheswari, Sudhir Kumar, Elangovan Marimuthu, Susheel Kumar Sharma, Rohit Bapurao Borate, S. K. Asraful Ali, Ngawang Namgey, Kajal Kumar Biswas

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