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Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas
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Machine Learning for High-Throughput Stress Phenotyping in Plants
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Infrared Imaging to Assess the Wild Rocket (Diplotaxis tenuifolia) Response to Fusarium Wilt in the Early Stages of Infection
inferred← citeshttps://doi.org/10.1038/s41477-018-0189-7openalex-snapshot
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
inferred← citeshttps://doi.org/10.1038/s41598-023-45682-3openalex-snapshot
Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop
inferred← citeshttps://doi.org/10.1038/s41598-025-87134-0openalex-snapshot
Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models
inferred← citeshttps://doi.org/10.1071/fp16164openalex-snapshot
Use of multicolour fluorescence imaging for diagnosis of bacterial and fungal infection on zucchini by implementing machine learning
inferred← citeshttps://doi.org/10.1080/01431161.2017.1297548openalex-snapshot
UAS, sensors, and data processing in agroforestry: a review towards practical applications
inferred← citeshttps://doi.org/10.1080/01431161.2017.1335908openalex-snapshot
The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings
inferred← citeshttps://doi.org/10.1080/01431161.2020.1731931openalex-snapshot
Linear Discriminant Analysis of spectral measurements for discrimination between healthy and diseased trees of Olea europaea L. artificially infected by Fomitiporia mediterranea
inferred← citeshttps://doi.org/10.1080/05704928.2021.1930552openalex-snapshot
Application of multiple spectral systems for the tree disease detection: A review
inferred← citeshttps://doi.org/10.1093/jxb/erag144openalex-snapshot
Sun-induced fluorescence responses to structural and physiological effects caused by the Cercospora leaf spot in sugar beet
inferred← citeshttps://doi.org/10.1094/pdis-10-18-1778-reopenalex-snapshot
Detection of White Root Rot in Avocado Trees by Remote Sensing
inferred← citeshttps://doi.org/10.1094/phyto-02-16-0082-rvwopenalex-snapshot
Phenomic Approaches and Tools for Phytopathologists
inferred← citeshttps://doi.org/10.1094/phyto-11-23-0432-ropenalex-snapshot
Assessing the Capacity of High-Resolution Commercial Satellite Imagery for Grapevine Downy Mildew Detection and Surveillance in New York State
inferred← citeshttps://doi.org/10.1094/phyto-11-24-0359-fiopenalex-snapshot
Opportunities and Challenges in Combining Optical Sensing and Epidemiological Modeling
inferred← citeshttps://doi.org/10.1109/accai53970.2022.9752549openalex-snapshot
Evaluation on Correctness Agriculture - Soil Quality and Soil Borne Disease in India using Machine Learning
inferred← citeshttps://doi.org/10.1109/icait61638.2024.10690835openalex-snapshot
Employing a Deep Neural Network to Identify and Categorize Leaf Diseases in Tomato Plant in Their Early Stages
inferred← citeshttps://doi.org/10.1109/icivc52351.2021.9526939openalex-snapshot
Ridge Detection and Perceptual Grouping Based Automatic Counting of Rice Seedlings Using UAV Images
inferred← citeshttps://doi.org/10.1109/icmla.2019.00024openalex-snapshot
Brown Planthopper Damage Detection using Remote Sensing and Machine Learning
inferred← citeshttps://doi.org/10.1109/icssit48917.2020.9214142openalex-snapshot
Multiclass Support Vector Machine based Plant Leaf Diseases Identification from Color, Texture and Shape Features
inferred← citeshttps://doi.org/10.1109/igarss.2018.8519389openalex-snapshot
Monitoring Forest Health with Sun-Induced Chlorophyll Fluorescence Observations and 3-D Radiative Transfer Modeling
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9635969openalex-snapshot
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
inferred← citeshttps://doi.org/10.1109/jstars.2024.3390546openalex-snapshot
Roles of Physiological and Nonphysiological Information in Sun-Induced Chlorophyll Fluorescence Variations for Detecting Cotton Verticillium Wilt
inferred← citeshttps://doi.org/10.1109/mgrs.2020.2998816openalex-snapshot
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
inferred← citeshttps://doi.org/10.1109/mgrs.2021.3087445openalex-snapshot
Remotely Piloted Aircraft Systems to Identify Pests and Diseases in Forest Species: The global state of the art and future challenges
inferred← citeshttps://doi.org/10.1109/picet60765.2024.10716173openalex-snapshot
Cotton Leaf Disease Prediction Using VGG16 and RESNET50
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3099624openalex-snapshot
Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat
inferred← citeshttps://doi.org/10.1111/eva.12902openalex-snapshot
Forest genomics: Advancing climate adaptation, forest health, productivity, and conservation
inferred← citeshttps://doi.org/10.1111/nph.14555openalex-snapshot
When prevention fails. Towards more efficient strategies for plant disease eradication
inferred← citeshttps://doi.org/10.1111/pce.13754openalex-snapshot
Dynamics of sun‐induced chlorophyll fluorescence and reflectance to detect stress‐induced variations in canopy photosynthesis
inferred← citeshttps://doi.org/10.1117/1.jrs.13.034515openalex-snapshot
Developing optimized spectral indices using machine learning to model Fusarium circinatum stress in Pinus radiata seedlings
inferred← citeshttps://doi.org/10.1117/12.2528300openalex-snapshot
Early detection of pink bollworm Pectinophora gossypiella (Saunders) using remote sensing technologies
inferred← citeshttps://doi.org/10.1142/s0219691318500030openalex-snapshot
Automatic segmentation and classification of olive fruits batches based on discrete wavelet transform and visual perceptual texture features
inferred← citeshttps://doi.org/10.1155/2017/6961387openalex-snapshot
Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm
inferred← citeshttps://doi.org/10.1186/s13007-019-0521-xopenalex-snapshot
Sensory assessment of Cercospora beticola sporulation for phenotyping the partial disease resistance of sugar beet genotypes
inferred← citeshttps://doi.org/10.1186/s13007-020-00649-7openalex-snapshot
Phenotypic techniques and applications in fruit trees: a review
inferred← citeshttps://doi.org/10.1186/s13007-022-00853-7openalex-snapshot
Sensor-based phenotyping of above-ground plant-pathogen interactions
inferred← citeshttps://doi.org/10.14692/jfi.17.1.9-18openalex-snapshot
Metode single image-NDVI untuk deteksi dini gejala mosaik pada Capsicum annuum
inferred← citeshttps://doi.org/10.1515/znc-2016-0134openalex-snapshot
Picturing pathogen infection in plants
inferred← citeshttps://doi.org/10.17584/rcch.2020v14i3.10938openalex-snapshot
Hyperspectral response of cape gooseberry (Physalis peruviana L.) plants inoculated with Fusarium oxysporum f. sp. physali for vascular wilt detection
inferred← citeshttps://doi.org/10.20868/upm.thesis.70140openalex-snapshot
Modelización de la expansión y medidas de control del nematodo de la madera del pino en la Península Ibérica
inferred← citeshttps://doi.org/10.20944/preprints202007.0522.v1openalex-snapshot
A Review of Low Altitude Manned Aviation Operations
inferred← citeshttps://doi.org/10.20944/preprints202407.0556.v1openalex-snapshot
HybridPlantNet23: A Scientific Insight into the Power of Ensemble Modelling using VGG16 and Darknet53 for Plant Disease Classification
inferred← citeshttps://doi.org/10.21608/mb.2024.255400.1089openalex-snapshot
Verticillium wilt of olive and its control caused by the hemibiotrophic soil-borne fungus Verticillium dahliae
inferred← citeshttps://doi.org/10.22214/ijraset.2025.69709openalex-snapshot
Thermal Imaging and Disease Detection in Patharchatta Plant
inferred← citeshttps://doi.org/10.22533/at.ed.052232601openalex-snapshot
Detecção e classificação de doenças e pragas da soja usando imagens de veículos aéreos não tripulados e técnicas de visão computacional
inferred← citeshttps://doi.org/10.23889/suthesis.57329openalex-snapshot
Quantitative estimation of vegetation traits and temporal dynamics using 3-D radiative transfer models, high-resolution hyperspectral images and satellite imagery
inferred← citeshttps://doi.org/10.26565/1992-4259-2016-15-02openalex-snapshot
UAVs as a Tool of Modern Agriculture and Protection of Soil
inferred← citeshttps://doi.org/10.31083/j.fbl2901020openalex-snapshot
Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants
inferred← citeshttps://doi.org/10.31274/etd-20210609-147openalex-snapshot
Estimation of soybean radiation use efficiency with the help of UAV imagery to evaluate the impact of frogeye leaf spot on yield and the effect of fungicides.
inferred← citeshttps://doi.org/10.3389/fgene.2020.01001openalex-snapshot
Breeding, Genetics, and Genomics Approaches for Improving Fusarium Wilt Resistance in Major Grain Legumes
inferred← citeshttps://doi.org/10.3389/fpls.2016.01790openalex-snapshot
Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping
inferred← citeshttps://doi.org/10.3389/fpls.2018.00164openalex-snapshot
Detection of Bacterial Infection in Melon Plants by Classification Methods Based on Imaging Data
inferred← citeshttps://doi.org/10.3389/fpls.2019.00383openalex-snapshot
Advanced Imaging for Quantitative Evaluation of Aphanomyces Root Rot Resistance in Lentil
inferred← citeshttps://doi.org/10.3389/fpls.2019.00552openalex-snapshot
Application of Remote Sensing for Phenotyping Tar Spot Complex Resistance in Maize
inferred← citeshttps://doi.org/10.3389/fpls.2023.1057733openalex-snapshot
Estimation of tomato water status with photochemical reflectance index and machine learning: Assessment from proximal sensors and UAV imagery
inferred← citeshttps://doi.org/10.3389/fpls.2023.1143326openalex-snapshot
Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
inferred← citeshttps://doi.org/10.3389/fpls.2025.1519001openalex-snapshot
Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods
inferred← citeshttps://doi.org/10.3389/fpls.2025.1599877openalex-snapshot
Vertical stratification-enabled early monitoring of cotton Verticillium wilt using in-situ leaf spectroscopy via machine learning models
inferred← citeshttps://doi.org/10.3389/fpls.2026.1818796openalex-snapshot
Fungal foe: exploring cotton’s physiological responses to Verticillium wilt
inferred← citeshttps://doi.org/10.3390/agriculture10090385openalex-snapshot
Assessment of Olive Tree Canopy Characteristics and Yield Forecast Model Using High Resolution UAV Imagery
inferred← citeshttps://doi.org/10.3390/agriculture15060597openalex-snapshot
Investigation of Peanut Leaf Spot Detection Using Superpixel Unmixing Technology for Hyperspectral UAV Images
inferred← citeshttps://doi.org/10.3390/agriculture6020024openalex-snapshot
Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat
inferred← citeshttps://doi.org/10.3390/agriengineering2020024openalex-snapshot
Mapping and Estimating Weeds in Cotton Using Unmanned Aerial Systems-Borne Imagery
inferred← citeshttps://doi.org/10.3390/agronomy11091785openalex-snapshot
Impact of Foliar Fungicides on Frogeye Leaf Spot Severity, Radiation Use Efficiency and Yield of Soybean in Iowa
inferred← citeshttps://doi.org/10.3390/agronomy12061451openalex-snapshot
Hyperspectral Sensing of Plant Diseases: Principle and Methods
inferred← citeshttps://doi.org/10.3390/agronomy14071569openalex-snapshot
Linking the Laboratory and the Field in Potato Early Dying Detection: From Spectral Signatures to Vegetation Indices Obtained with Multispectral Cameras Coupled to Drones
inferred← citeshttps://doi.org/10.3390/agronomy15010213openalex-snapshot
Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots
inferred← citeshttps://doi.org/10.3390/agronomy9120846openalex-snapshot
The Utility of the Upcoming HyspIRI’s Simulated Spectral Settings in Detecting Maize Gray Leafy Spot in Relation to Sentinel-2 MSI, VENµS, and Landsat 8 OLI Sensors
inferred← citeshttps://doi.org/10.3390/bdcc5010002openalex-snapshot
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms
inferred← citeshttps://doi.org/10.3390/f15010028openalex-snapshot
Detecting the Short-Term Effects of Water Stress on Radiata Pine Physiology Using Thermal Imagery
inferred← citeshttps://doi.org/10.3390/horticulturae11010046openalex-snapshot
Assessment of Peacock Spot Disease (Fusicladium oleagineum) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging
inferred← citeshttps://doi.org/10.3390/horticulturae9020133openalex-snapshot
Evaluation of Multispectral Data Acquired from UAV Platform in Olive Orchard
inferred← citeshttps://doi.org/10.3390/jimaging3040057openalex-snapshot
Olive Plantation Mapping on a Sub-Tree Scale with Object-Based Image Analysis of Multispectral UAV Data; Operational Potential in Tree Stress Monitoring
inferred← citeshttps://doi.org/10.3390/jsan10010015openalex-snapshot
Analysis, Modeling and Multi-Spectral Sensing for the Predictive Management of Verticillium Wilt in Olive Groves
inferred← citeshttps://doi.org/10.3390/land12010010openalex-snapshot
Integrating Short Rotation Woody Crops into Conventional Agricultural Practices in the Southeastern United States: A Review
inferred← citeshttps://doi.org/10.3390/plants9060735openalex-snapshot
Verticillium Wilt of Olive and Its Control: What Did We Learn during the Last Decade?
inferred← citeshttps://doi.org/10.3390/proceedings2026134056openalex-snapshot
Economic Dimension of Digitisation in Olive Cultivation: The Case of Addressing Verticillium Wilt Using New Technologies
inferred← citeshttps://doi.org/10.3390/rs10020226openalex-snapshot
Quantifying the Severity of Phytophthora Root Rot Disease in Avocado Trees Using Image Analysis
inferred← citeshttps://doi.org/10.3390/rs10060930openalex-snapshot
Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content
inferred← citeshttps://doi.org/10.3390/rs11030221openalex-snapshot
Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing
inferred← citeshttps://doi.org/10.3390/rs11030224openalex-snapshot
Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato
inferred← citeshttps://doi.org/10.3390/rs11060714openalex-snapshot
A Non-Reference Temperature Histogram Method for Determining Tc from Ground-Based Thermal Imagery of Orchard Tree Canopies
inferred← citeshttps://doi.org/10.3390/rs11242972openalex-snapshot
Assessment of Canopy Porosity in Avocado Trees as a Surrogate for Restricted Transpiration Emanating from Phytophthora Root Rot
inferred← citeshttps://doi.org/10.3390/rs12060926openalex-snapshot
Monitoring of Canopy Stress Symptoms in New Zealand Kauri Trees Analysed with AISA Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/rs12071106openalex-snapshot
Multispectral Mapping on 3D Models and Multi-Temporal Monitoring for Individual Characterization of Olive Trees
inferred← citeshttps://doi.org/10.3390/rs12111846openalex-snapshot
Examining the Utility of Visible Near-Infrared and Optical Remote Sensing for the Early Detection of Rapid ‘Ōhi‘a Death
inferred← citeshttps://doi.org/10.3390/rs12121965openalex-snapshot
Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the Citrus Tristeza Virus Epidemic
inferred← citeshttps://doi.org/10.3390/rs12121998openalex-snapshot
Hyperspectral Inversion of Phragmites Communis Carbon, Nitrogen, and Phosphorus Stoichiometry Using Three Models
inferred← citeshttps://doi.org/10.3390/rs12244041openalex-snapshot
Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes
inferred← citeshttps://doi.org/10.3390/rs13010068openalex-snapshot
Thermal Imaging for Plant Stress Detection and Phenotyping
inferred← citeshttps://doi.org/10.3390/rs13081411openalex-snapshot
Fusion of Multispectral Aerial Imagery and Vegetation Indices for Machine Learning-Based Ground Classification
inferred← citeshttps://doi.org/10.3390/rs13081425openalex-snapshot
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy
inferred← citeshttps://doi.org/10.3390/rs13142833openalex-snapshot
Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and Machine Learning
inferred← citeshttps://doi.org/10.3390/rs13224560openalex-snapshot
Identification and Severity Monitoring of Maize Dwarf Mosaic Virus Infection Based on Hyperspectral Measurements
inferred← citeshttps://doi.org/10.3390/rs14051239openalex-snapshot
Unmanned Aerial Vehicle (UAV)-Based Remote Sensing for Early-Stage Detection of Ganoderma
inferred← citeshttps://doi.org/10.3390/rs14215430openalex-snapshot
Twenty Years of Remote Sensing Applications Targeting Landscape Analysis and Environmental Issues in Olive Growing: A Review
inferred← citeshttps://doi.org/10.3390/rs14235951openalex-snapshot
The Role of Remote Sensing in Olive Growing Farm Management: A Research Outlook from 2000 to the Present in the Framework of Precision Agriculture Applications
inferred← citeshttps://doi.org/10.3390/rs15245683openalex-snapshot
Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/rs16061050openalex-snapshot
Early Detection of Myrtle Rust on Pōhutukawa Using Indices Derived from Hyperspectral and Thermal Imagery
inferred← citeshttps://doi.org/10.3390/rs16081324openalex-snapshot
Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review
inferred← citeshttps://doi.org/10.3390/rs16081401openalex-snapshot
Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations
inferred← citeshttps://doi.org/10.3390/rs16234371openalex-snapshot
Remote Sensing Technologies Using UAVs for Pest and Disease Monitoring: A Review Centered on Date Palm Trees
inferred← citeshttps://doi.org/10.3390/rs16234531openalex-snapshot
Burned Olive Trees Identification with a Deep Learning Approach in Unmanned Aerial Vehicle Images
inferred← citeshttps://doi.org/10.3390/rs16244637openalex-snapshot
Severity Assessment of Cotton Canopy Verticillium Wilt by Machine Learning Based on Feature Selection and Optimization Algorithm Using UAV Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/rs18162806openalex-snapshot
A Hex-View Perspective on Plant Disease Detection Using Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs8040276openalex-snapshot
Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery
inferred← citeshttps://doi.org/10.3390/rs8060500openalex-snapshot
Mapping Crop Planting Quality in Sugarcane from UAV Imagery: A Pilot Study in Nicaragua
inferred← citeshttps://doi.org/10.3390/rs9111110openalex-snapshot
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
inferred← citeshttps://doi.org/10.3390/s16111918openalex-snapshot
Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data
inferred← citeshttps://doi.org/10.3390/s18040944openalex-snapshot
Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/s19102281openalex-snapshot
Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale
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