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Hyperspectral Sensing of Plant Diseases: Principle and Methods

https://doi.org/10.3390/agronomy12061451

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Counterfeit Currency Detection using Machine Vision and Image Processing

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SVM and MSVM for Plant Disease Detection: A Comparative Study

inferred← citeshttps://doi.org/10.1109/icicml63543.2024.10958046openalex-snapshot

Hyperspectral Detection Technology in Agriculture: A Review

inferred← citeshttps://doi.org/10.1109/icmeas58693.2023.10379272openalex-snapshot

Federated Learning for Collaborative Crop Disease Monitoring in Wheat Production

inferred← citeshttps://doi.org/10.1109/ictaacs69003.2025.11399332openalex-snapshot

Early potato disease detection using spectral imaging and machine learning techniques: a review

inferred← citeshttps://doi.org/10.1109/iits69561.2026.11648345openalex-snapshot

Design and Implementation of an IoT-Enabled Solar-Powered Pole Bot for Integrated Agricultural Monitoring

inferred← citeshttps://doi.org/10.1109/jstars.2025.3582083openalex-snapshot

S2RCFormer: Spatial-Spectral Residual Cross-Attention Transformer for Multimodal Remote Sensing Data Classification

inferred← citeshttps://doi.org/10.1109/jstars.2025.3582845openalex-snapshot

RoFDiff: Robust Hyperpansharpening via a High-Low Frequency Conditional Diffusion Model

inferred← citeshttps://doi.org/10.1109/jstars.2025.3649530openalex-snapshot

Detection of Phalaenopsis Fusarium Wilt From Hyperspectral VNIR/SWIR Imagery Using EE-CSPNet

inferred← citeshttps://doi.org/10.1109/mgrs.2025.3602160openalex-snapshot

Monitoring Forest Damage Caused by Pine Wilt Disease with Remote Sensing Technologies: A review

inferred← citeshttps://doi.org/10.1109/tafe.2023.3329849openalex-snapshot

A Review on Plant Disease Detection Using Hyperspectral Imaging

inferred← citeshttps://doi.org/10.1109/tgrs.2024.3466648openalex-snapshot

Development of a Multiscale XGBoost-Based Model for Enhanced Detection of Potato Late Blight Using Sentinel-2, UAV, and Ground Data

inferred← citeshttps://doi.org/10.1111/jph.70077openalex-snapshot

A Hybrid Residual Wide‐Kernel Auto‐Encoder With Vision Transformer for Plant Disease Detection

inferred← citeshttps://doi.org/10.1111/ppa.70286openalex-snapshot

Spectral and Physiological Responses of Lettuce to Fusarium Wilt: Implications for Early Disease Detection and Management

inferred← citeshttps://doi.org/10.1117/1.jbo.29.9.093507openalex-snapshot

Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering

inferred← citeshttps://doi.org/10.1117/12.3018386openalex-snapshot

Localization and recognition of specific targets in land-based hyperspectral images based on combined spatial and spectral information

inferred← citeshttps://doi.org/10.1186/s13007-023-01046-6openalex-snapshot

Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing

inferred← citeshttps://doi.org/10.1364/ome.584958openalex-snapshot

Temperature-tunable cholesteric liquid crystal selective mirror for multispectral imaging applications

inferred← citeshttps://doi.org/10.1371/journal.pone.0335956openalex-snapshot

LeafAI: Interpretable plant disease detection for edge computing

inferred← citeshttps://doi.org/10.22184/1993-7296.fros.2025.19.8.650.660openalex-snapshot

Использование колористических характеристик листа и побега при селекции для детекции пола у растений Rumex acetosa L. в стадии бутонизации

inferred← citeshttps://doi.org/10.29194/njes.29010103openalex-snapshot

AI-driven crop disease detection with efficient NetB3 hybrids for sustainable agriculture

inferred← citeshttps://doi.org/10.3389/ffgc.2026.1824223openalex-snapshot

Early detection of pine shoot beetle infestation in Yunnan pine forests through UAV-based multispectral and thermal data integration

inferred← citeshttps://doi.org/10.3389/fnut.2026.1929304openalex-snapshot

Postharvest biocontrol agents in fruits and vegetables: mechanisms, applications, challenges, and future perspectives

inferred← citeshttps://doi.org/10.3389/fpls.2024.1392409openalex-snapshot

Tackling unbalanced datasets for yellow and brown rust detection in wheat

inferred← citeshttps://doi.org/10.3389/fpls.2024.1452551openalex-snapshot

Plant disease recognition datasets in the age of deep learning: challenges and opportunities

inferred← citeshttps://doi.org/10.3389/fpls.2025.1725017openalex-snapshot

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

inferred← citeshttps://doi.org/10.3389/fpls.2026.1873364openalex-snapshot

Pre-symptomatic detection of wheat stem rust using hyperspectral imaging and deep learning

inferred← citeshttps://doi.org/10.3390/a18020084openalex-snapshot

Algorithms for Plant Monitoring Applications: A Comprehensive Review

inferred← citeshttps://doi.org/10.3390/act14090464openalex-snapshot

Autonomous Driving in Agricultural Machinery: Advancing the Frontier of Precision Agriculture

inferred← citeshttps://doi.org/10.3390/agriculture13061186openalex-snapshot

Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina

inferred← citeshttps://doi.org/10.3390/agriculture15151670openalex-snapshot

Application of Non-Destructive Technology in Plant Disease Detection: Review

inferred← citeshttps://doi.org/10.3390/agriculture15151690openalex-snapshot

A Remote Strawberry Health Monitoring System Performed with Multiple Sensors Approach

inferred← citeshttps://doi.org/10.3390/agriculture15161775openalex-snapshot

Advances in Hyperspectral and Diffraction Imaging for Agricultural Applications

inferred← citeshttps://doi.org/10.3390/agriculture15171852openalex-snapshot

Comparison of Ray Tracing Software Performance Based on Light Intensity for Spinach Growth

inferred← citeshttps://doi.org/10.3390/agriculture15192082openalex-snapshot

High Proportion of Blue Light Contributes to Product Quality and Resistance to Phytophthora Infestans in Tomato Seedlings

inferred← citeshttps://doi.org/10.3390/agriculture15242599openalex-snapshot

U-PKAN: A Dual-Module Kolmogorov–Arnold Network for Agricultural Plant Disease Detection

inferred← citeshttps://doi.org/10.3390/agriculture16121262openalex-snapshot

Advances in Artificial Intelligence-Enabled Crop Pest and Disease Detection: A Systematic Review

inferred← citeshttps://doi.org/10.3390/agriculture16171806openalex-snapshot

Impact of Biostimulation on Floricane Raspberries Assessed Using Drone-Based Remote Sensing

inferred← citeshttps://doi.org/10.3390/agriculture16182001openalex-snapshot

Intelligent Monitoring of Diseases and Insect Pests in Rice and Wheat: A Review of Multimodal Data Fusion and Early Warning Systems

inferred← citeshttps://doi.org/10.3390/agriculture16182038openalex-snapshot

Early Detection and Classification of Phytophthora Blight in Chili Peppers Using Hyperspectral Imaging and Machine Learning

inferred← citeshttps://doi.org/10.3390/agriengineering8070254openalex-snapshot

Can Hyperspectral Reflectance Thresholds Achieve Spatial Partitioning of Sweet Potato Leaf Deformation Types on UAV Multispectral Imagery?

inferred← citeshttps://doi.org/10.3390/agronomy13041045openalex-snapshot

Hyperspectral Non-Imaging Measurements and Perceptron Neural Network for Pre-Harvesting Assessment of Damage Degree Caused by Septoria/Stagonospora Blotch Diseases of Wheat

inferred← citeshttps://doi.org/10.3390/agronomy14050937openalex-snapshot

Agricultural Environment and Intelligent Plant Protection Equipment

inferred← citeshttps://doi.org/10.3390/agronomy14112694openalex-snapshot

Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease

inferred← citeshttps://doi.org/10.3390/agronomy15010141openalex-snapshot

The Effect of Airflow-Assisted Parameters on Droplet Deposition on Soybean Leaves at the V7 Growth Stage

inferred← citeshttps://doi.org/10.3390/agronomy15010226openalex-snapshot

Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models

inferred← citeshttps://doi.org/10.3390/agronomy15040794openalex-snapshot

Early Detection and Dynamic Grading of Sweet Potato Scab Based on Hyperspectral Imaging

inferred← citeshttps://doi.org/10.3390/agronomy15061275openalex-snapshot

Salinity Stress in Strawberry Seedlings Determined with a Spectral Fusion Model

inferred← citeshttps://doi.org/10.3390/agronomy16121134openalex-snapshot

Short-Term Repeatability of Multispectral UAV Measurements and Implications for Vegetation Index Stability

inferred← citeshttps://doi.org/10.3390/app16073480openalex-snapshot

Early Detection and Differentiation of Dragon Fruit Plant Diseases Using Optical Spectral Reflectance

inferred← citeshttps://doi.org/10.3390/app16115389openalex-snapshot

Agricultural AI Agents: Architecture Design, Business Processes, Key Technologies, and Future Challenges

inferred← citeshttps://doi.org/10.3390/app16125865openalex-snapshot

A Review of Agricultural Intelligent Architecture: The Application and Challenges of Artificial Intelligence in Agricultural Perception, Decision-Making, and Execution

inferred← citeshttps://doi.org/10.3390/app16136511openalex-snapshot

Crop Rotation for Sustainable Agriculture: Mechanisms, Technologies, and Regional Recommendations

inferred← citeshttps://doi.org/10.3390/app16167957openalex-snapshot

Advances in Binocular Stereo Vision-Driven 3D Perception and Intelligent Analysis Methods for Agriculture

inferred← citeshttps://doi.org/10.3390/app16178357openalex-snapshot

Research Progress of Multi-Source Sensing Technology and Intelligent Modeling Methods in Vegetation Monitoring

inferred← citeshttps://doi.org/10.3390/atmos14071148openalex-snapshot

Vegetation Identification in Hyperspectral Images Using Distance/Correlation Metrics

inferred← citeshttps://doi.org/10.3390/cimb46010045openalex-snapshot

Phenotyping and Exploitation of Kompetitive Allele-Specific PCR Assays for Genes Underpinning Leaf Rust Resistance in New Spring Wheat Mutant Lines

inferred← citeshttps://doi.org/10.3390/drones7020097openalex-snapshot

A Comprehensive Review of Scab Disease Detection on Rosaceae Family Fruits via UAV Imagery

inferred← citeshttps://doi.org/10.3390/e25070987openalex-snapshot

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples

inferred← citeshttps://doi.org/10.3390/e28040370openalex-snapshot

The Pattern Dynamics of Propagation Models in Complex Networks

inferred← citeshttps://doi.org/10.3390/electronics15132908openalex-snapshot

Broadband IoT for Digital Agriculture in Rural and Remote Areas: Field-Level Connectivity, Coverage, Throughput, and Emerging Technologies

inferred← citeshttps://doi.org/10.3390/f16071198openalex-snapshot

Estimating Forest Carbon Stock Using Enhanced ResNet and Sentinel-2 Imagery

inferred← citeshttps://doi.org/10.3390/foods15101631openalex-snapshot

Advances in Hyperspectral Imaging for Nondestructive Food Quality and Safety Detection

inferred← citeshttps://doi.org/10.3390/foods15183287openalex-snapshot

Advances in Machine Learning and Deep Learning Algorithm-Assisted Hyperspectral Imaging for Food Quality and Safety Assessment

inferred← citeshttps://doi.org/10.3390/foods15193396openalex-snapshot

Hyperspectral Imaging for Agricultural and Food Sensing: Applications, Data Analytics, and Deployment Challenges

inferred← citeshttps://doi.org/10.3390/horticulturae10121363openalex-snapshot

Bacterial and Viral-Induced Changes in the Reflectance Spectra of Nicotiana benthamiana Plants

inferred← citeshttps://doi.org/10.3390/horticulturae12091073openalex-snapshot

Non-Destructive Detection of Kiwifruit Quality: Principles, Applications, and Perspectives

inferred← citeshttps://doi.org/10.3390/horticulturae12091124openalex-snapshot

Spectral Imaging and Autonomous Inspection Technologies for Nutrient Diagnosis of Protected Horticultural Crops: A Review

inferred← citeshttps://doi.org/10.3390/microorganisms11092348openalex-snapshot

Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics

inferred← citeshttps://doi.org/10.3390/photonics11070644openalex-snapshot

TSC-1 Offner Spectrometer Prototype Characterization

inferred← citeshttps://doi.org/10.3390/plants12183223openalex-snapshot

Development of Methods for Remote Monitoring of Leaf Diseases in Wheat Agrocenoses

inferred← citeshttps://doi.org/10.3390/plants12223831openalex-snapshot

Comparison of the Efficiency of Hyperspectral and Pulse Amplitude Modulation Imaging Methods in Pre-Symptomatic Virus Detection in Tobacco Plants

inferred← citeshttps://doi.org/10.3390/plants13141892openalex-snapshot

Study of the Spectral Characteristics of Crops of Winter Wheat Varieties Infected with Pathogens of Leaf Diseases

inferred← citeshttps://doi.org/10.3390/plants13233447openalex-snapshot

Exploring Imaging Techniques for Detecting Tomato Spotted Wilt Virus (TSWV) Infection in Pepper (Capsicum spp.) Germplasms

inferred← citeshttps://doi.org/10.3390/plants14050733openalex-snapshot

Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused by Xanthomonas oryzae pv. oryzae, Pantoea ananatis and Enterobacter asburiae

inferred← citeshttps://doi.org/10.3390/plants15121854openalex-snapshot

VNIR Hyperspectral Signatures and Machine Learning for Early Detection and Classification of Barley Diseases

inferred← citeshttps://doi.org/10.3390/plants15172639openalex-snapshot

Application of Hyperspectral Imaging and Generative Adversarial Network for Powdery Mildew Severity Detection on Melon Leaves

inferred← citeshttps://doi.org/10.3390/rs14236031openalex-snapshot

Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review

inferred← citeshttps://doi.org/10.3390/rs15174174openalex-snapshot

The Automated Detection of Fusarium Wilt on Phalaenopsis Using VIS-NIR and SWIR Hyperspectral Imaging

inferred← citeshttps://doi.org/10.3390/rs16173235openalex-snapshot

Monitoring Helicoverpa armigera Damage with PRISMA Hyperspectral Imagery: First Experience in Maize and Comparison with Sentinel-2 Imagery

inferred← citeshttps://doi.org/10.3390/rs17060978openalex-snapshot

Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine

inferred← citeshttps://doi.org/10.3390/rs17091626openalex-snapshot

One-Dimensional Convolutional Neural Network for Automated Kimchi Cabbage Downy Mildew Detection Using Aerial Hyperspectral Images

inferred← citeshttps://doi.org/10.3390/rs17132230openalex-snapshot

Detection of Bacterial Leaf Spot Disease in Sesame (Sesamum indicum L.) Using a U-Net Autoencoder

inferred← citeshttps://doi.org/10.3390/rs17162882openalex-snapshot

PLCNet: A 3D-CNN-Based Plant-Level Classification Network Hyperspectral Framework for Sweetpotato Virus Disease Detection

inferred← citeshttps://doi.org/10.3390/s23125366openalex-snapshot

Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review

inferred← citeshttps://doi.org/10.3390/s24103197openalex-snapshot

Classification of Benign–Malignant Thyroid Nodules Based on Hyperspectral Technology

inferred← citeshttps://doi.org/10.3390/s25154729openalex-snapshot

A Review of Multiscale Interaction Mechanisms of Wind–Leaf–Droplet Systems in Orchard Spraying

inferred← citeshttps://doi.org/10.3390/s26206434openalex-snapshot

Multi-Source Remote Sensing Fusion and Deep Learning for Intelligent Precision Agriculture

inferred← citeshttps://doi.org/10.3390/stresses5040062openalex-snapshot

Identifying Winter Light Stress in Conifers Using Proximal Hyperspectral Imaging and Machine Learning

inferred← citeshttps://doi.org/10.34133/plantphenomics.0083openalex-snapshot

To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?

inferred← citeshttps://doi.org/10.34133/plantphenomics.0163openalex-snapshot

DC2Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning

inferred← citeshttps://doi.org/10.4081/jae.2025.1954openalex-snapshot

A review of deep learning based agricultural remote sensing image segmentation

inferred← citeshttps://doi.org/10.53859/02352451_2026_40_3_56openalex-snapshot

Spectral analysis in monitoring pathogens of wheat agrocenoses

inferred← citeshttps://doi.org/10.61356/j.oia.2024.1273openalex-snapshot

A Novel Hybrid Approach Based on CNN for Corn Diseases Detection

inferred← citeshttps://doi.org/10.61882/gebsj.13.1.1openalex-snapshot

The Application of Hyperspectral Imaging in Plant Pathology

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