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Cucumber powdery mildew detection using hyperspectral data

https://doi.org/10.1139/cjps-2021-0148

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Principal Components Analysis

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Close Range Spectral Imaging for Disease Detection in Plants Using Autonomous Platforms: a Review on Recent Studies

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Biosensors for plant pathogen detection

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Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

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A review of advanced techniques for detecting plant diseases

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Early powdery mildew detection system for application in greenhouse automation

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Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities

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Leaf image based cucumber disease recognition using sparse representation classification

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Cucumber leaf disease identification with global pooling dilated convolutional neural network

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Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications

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Red edge shift and biochemical content in grass canopies

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Study on the Methods of Detecting Cucumber Downy Mildew Using Hyperspectral Imaging Technology

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The modifications of cell wall composition and water status of cucumber leaves induced by powdery mildew and manganese nutrition

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Molecular and cellular analysis of the biotrophic interaction between rice and Magnaporthe oryzae – Exploring situations in which the blast fungus controls the infection

inferredcites →https://doi.org/10.1016/j.pmpp.2020.101489openalex-snapshot

Bacillus subtilis as a bio-agent combined with nano molecules can control powdery mildew disease through histochemical and physiobiochemical changes in cucumber plants

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Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification

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Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content

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Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation

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Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm

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Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

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Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging

inferredcites →https://doi.org/10.1063/1.5091341openalex-snapshot

Early detection of powdery mildew (Podosphaera xanthii) on cucumber leaves based on visible and near-infrared spectroscopy

inferredcites →https://doi.org/10.1080/01431160902842342openalex-snapshot

Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position

inferredcites →https://doi.org/10.1080/01431168308948546openalex-snapshot

The red edge of plant leaf reflectance

inferredcites →https://doi.org/10.1080/05704928.2017.1352510openalex-snapshot

Early detection of diseases in plant tissue using spectroscopy – applications and limitations

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Potato Late Blight Detection at the Leaf and Canopy Level Using Hyperspectral Data

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An Improved Crop Scouting Technique Incorporating Unmanned Aerial Vehicle–Assisted Multispectral Crop Imaging into Conventional Scouting Practice for Gummy Stem Blight in Watermelon

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Image recognition of plant diseases based on principal component analysis and neural networks

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Diagnosis of diseases on cotton leaves using principal component analysis classifier

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Extraction of red edge optical parameters from hyperion data for estimation of forest leaf area index

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The powdery mildew fungus Podosphaera fusca (synonym Podosphaera xanthii ), a constant threat to cucurbits

inferredcites →https://doi.org/10.1111/ppa.12219openalex-snapshot

Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

inferredcites →https://doi.org/10.1366/0003702884429869openalex-snapshot

The Effect of Multiplicative Scatter Correction (MSC) and Linearity Improvement in NIR Spectroscopy

inferredcites →https://doi.org/10.3389/fpls.2017.00192openalex-snapshot

Editorial: Biotrophic Plant-Microbe Interactions

inferredcites →https://doi.org/10.3390/rs12020286openalex-snapshot

Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato

inferredcites →https://doi.org/10.3390/rs12081292openalex-snapshot

Potato Late Blight Detection at the Leaf and Canopy Levels Based in the Red and Red-Edge Spectral Regions

inferredcites →https://doi.org/10.3390/rs13152948openalex-snapshot

Detecting Infected Cucumber Plants with Close-Range Multispectral Imagery

inferredcites →https://doi.org/10.3390/s16050676openalex-snapshot

Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Detektion von Echtem Mehltau an Salat (Lactuca sativa L.) mithilfe hyperspektraler Bilddaten

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Advancing non-invasive technology for early disease detection in potato: A review of hyperspectral imaging applications in Western Canada

inferred← citeshttps://doi.org/10.1016/j.compag.2023.108312openalex-snapshot

Airborne hyperspectral imaging for early diagnosis of kimchi cabbage downy mildew using 3D-ResNet and leaf segmentation

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

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Neural Network-Based Classification for Automated Powdery Mildew Detection in Modern Tomato Greenhouses

inferred← citeshttps://doi.org/10.3389/fpls.2023.1211617openalex-snapshot

Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques

inferred← citeshttps://doi.org/10.3390/electronics11233947openalex-snapshot

Lightweight Multi-Scale Dilated U-Net for Crop Disease Leaf Image Segmentation

inferred← citeshttps://doi.org/10.3390/f15111930openalex-snapshot

The Spectral Response Characteristics of Potassium in Camellia oleifera Leaves at Different Growth Stages

inferred← citeshttps://doi.org/10.3390/inventions9010008openalex-snapshot

Early-Stage Identification of Powdery Mildew Levels for Cucurbit Plants in Open-Field Conditions Based on Texture Descriptors

inferred← citeshttps://doi.org/10.3390/rs13152948openalex-snapshot

Detecting Infected Cucumber Plants with Close-Range Multispectral Imagery

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/su16146064openalex-snapshot

Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review

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Spectral Correction and Dimensionality Reduction of Hyperspectral Images for Plant Water Stress Assessment

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Early Detection of Ginger Rhizome Rot Using Leaf Motion

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