Faculty

Institution

Unit

Venue

Thomas Burks

Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Agricultural & Biological Engineering

Thomas Burks is currently serving as an Agricultural & Biological Engineering Professor at University of Florida.

Honors

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Experiences

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Education

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Thomas Burks

University of Florida

Professor

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plant science remote sensing technology environmental science computer vision agricultural economics precision agriculture pattern recognition robotics machine learning optical remote sensing horticulture research agricultural engineering computer science agricultural sciences horticultural science hyperspectral imaging sensors agribusiness sustainable agriculture machine vision smart agriculture electronics automatic control plant physiology robot control convolutional neural networks disease classification hyperspectral reflectance imaging livestock science food science biomedical imaging motion control classification method image classification vegetation science food quality food engineering agricultural biotechnology localization computational imaging feature detection plant analysis sensor technology 3d reconstruction fruit detection citrus canker vehicular technology multispectral imaging food technology vision robotics guidance system food quality assurance precision farming optical metrology optical imaging earth observation citrus disease citrus fruit detection citrus canker detection hyperspectral image data convolution neural network robotic fruit harvesting visual servo control object recognition autonomous navigation automatic navigation image segmentation forest biometrics object detection color texture features discriminant analysis image fusion spectral information divergence robotic manipulator vision-based control industrial automation systems engineering agricultural machinery automation robotics automation vehicle guidance field robotics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Authentication of Gluten-Free Flour by Fourier-Transform Infrared Spectroscopic Technique. (2024)

Feifei TaoKuanglin ChaoJianwei QinMoon S. KimThomas Burks

marketingspectroscopyfood authenticationfood scienceinfrared spectroscopygluten-free flour

Automated Classification of Citrus Disease on Fruits and Leaves Using Convolutional Neural Network Generated Features From Hyperspectral Images and Machine Learning Classifiers. Journal of Applied Remote Sensing (2024)

Pappu Kumar YadavThomas BurksJianwei QinMoon KimQuentin FrederickMegan M. DewdneyMark A. Ritenour

pattern recognitionhyperspectral imagesoptical remote sensingearth observationcomputer sciencemachine learningplant scienceearth sciencecitrus diseaseremote sensingimage classificationmachine learning classifiersimage analysisenvironmental scienceconvolutional neural networkscomputer visionclassification method

Classification of Citrus Leaf Diseases Using Hyperspectral Reflectance and Fluorescence Imaging and Machine Learning Techniques. Horticulturae (2024)

Hyun Jung MinJianwei QinPappu Kumar YadavQuentin FrederickThomas BurksMegan DewdneyInsuck BaekMoon Kim

horticulture researchhyperspectral reflectanceplant diseasemachine learningdisease classificationplant pathologymachine learning techniquesagricultural economicsfluorescence imaging

Classifying Adaxial and Abaxial Sides of Diseased Citrus Leaves With Selected Hyperspectral Bands and Yolov8. Smart Agricultural Technology (2024)

Quentin FrederickThomas BurksPappu Kumar YadavJianwei QinMoon KimMegan Dewdney

biophysicshyperspectral imagingspectroscopyabaxial sidesbotanyplant diseaseplant analysisplant sciencedisease classificationhyperspectral bandsdiseased citruspathology

Detection of Citrus Black Spot Fungi Phyllosticta Citricarpa Phyllosticta Capitalensis on Uv-C Fluorescence Images Using Yolov8. Smart Agricultural Technology (2024)

Pappu Kumar YadavThomas BurksJianwei QinMoon KimMegan M. DewdneyFartash Vasefi

precision agriculturefungal diversitydiagnostic mycologyfungussmart agricultureagricultural sciencesfluorescencebiological imagingfungal ecologyfungal biologyuv-c fluorescence imagesphyllosticta capitalensisenvironmental scienceecologyagricultural economics

Detection of Citrus Black Spot Fungus Using Fluorescence Imaging and Deep Learning on Leaf Surface. (2024)

Pappu K. YadavThomas BurksJianwei QinMoon S. KimMegan M. DewdneyMark A. RitenourFartash Vasefi

horticultural scienceplant scienceleaf surfaceenvironmental sciencehealth sciencesdeep learningfluorescence imaging

Detection of E. Coli Concentration Levels Using Csi-D+ Handheld With Uv-C Fluorescence Imaging and Deep Learning on Leaf Surfaces. (2024)

Pappu K. YadavThomas BurksSnehit VaddiJianwei QinMoon S. KimMark A. RitenourFartash Vasefi

microscopyenvironmental engineeringuv-c fluorescence imagingwater qualityinfection controldiagnostic microbiologyinfectious diseaseswastewater treatmentmaterials scienceapplied microbiologyleaf surfacespathogen detectionenvironmental microbiologydeep learning

Citrus Disease Classification With Convolution Neural Network Generated Features and Machine Learning Classifiers on Hyperspectral Image Data. (2023)

Pappu K. YadavThomas BurksJianwei QinMoon KimQuentin K. FrederickMegan M. DewdneyMark A. Ritenour

pattern recognitionhyperspectral imaginghyperspectral image dataconvolution neural networkmachine learningdata sciencecitrus disease classificationremote sensingimage classificationdisease classificationimage analysisenvironmental scienceconvolutional neural networkshealth sciencescomputer visionclassification method

Classification of E. Coli Colony With Generative Adversarial Networks, Discrete Wavelet Transforms and Vgg19. Journal of Radiology and Clinical Imaging (2023)

Pappu Kumar YadavThomas BurksKunal DudheQuentin FrederickJianwei QinMoon KimMark A. Ritenour

microbiologybiomedical imagingradiomicsdiagnostic imagingmedical image computingdiscrete wavelet transformsbioinformaticsdata classificationbiological imagingmachine learningcomputational imagingautomatic classificationmedical imagingimage classificationradiologyimage analysishealth sciences

Classifying E.Coli Concentration Levels on Multispectral Fluorescence Images With Discrete Wavelet Transform, Deep Learning and Support Vector Machine.. (2023)

Pappu K. YadavThomas BurksQuentin FrederickJianwei QinMoon S. KimMark A. Ritenour

biophysicsdiscrete wavelet transformmultispectral fluorescence imagesbiological imagingmachine learningcomputer visionimage analysismolecular biologyhealth sciencesdeep learningbioimage analysis

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Thomas Burks

Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Agricultural & Biological Engineering

Thomas Burks is currently serving as an Agricultural & Biological Engineering Professor at University of Florida.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Thomas Burks

University of Florida

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Authentication of Gluten-Free Flour by Fourier-Transform Infrared Spectroscopic Technique. (2024)

Feifei TaoKuanglin ChaoJianwei QinMoon S. KimThomas Burks

marketingspectroscopyfood authenticationfood scienceinfrared spectroscopygluten-free flour

Pappu Kumar YadavThomas BurksJianwei QinMoon KimQuentin FrederickMegan M. DewdneyMark A. Ritenour

Classification of Citrus Leaf Diseases Using Hyperspectral Reflectance and Fluorescence Imaging and Machine Learning Techniques. Horticulturae (2024)

Hyun Jung MinJianwei QinPappu Kumar YadavQuentin FrederickThomas BurksMegan DewdneyInsuck BaekMoon Kim

horticulture researchhyperspectral reflectanceplant diseasemachine learningdisease classificationplant pathologymachine learning techniquesagricultural economicsfluorescence imaging

Classifying Adaxial and Abaxial Sides of Diseased Citrus Leaves With Selected Hyperspectral Bands and Yolov8. Smart Agricultural Technology (2024)

Quentin FrederickThomas BurksPappu Kumar YadavJianwei QinMoon KimMegan Dewdney

biophysicshyperspectral imagingspectroscopyabaxial sidesbotanyplant diseaseplant analysisplant sciencedisease classificationhyperspectral bandsdiseased citruspathology

Detection of Citrus Black Spot Fungi Phyllosticta Citricarpa Phyllosticta Capitalensis on Uv-C Fluorescence Images Using Yolov8. Smart Agricultural Technology (2024)

Pappu Kumar YadavThomas BurksJianwei QinMoon KimMegan M. DewdneyFartash Vasefi

Detection of Citrus Black Spot Fungus Using Fluorescence Imaging and Deep Learning on Leaf Surface. (2024)

Pappu K. YadavThomas BurksJianwei QinMoon S. KimMegan M. DewdneyMark A. RitenourFartash Vasefi

horticultural scienceplant scienceleaf surfaceenvironmental sciencehealth sciencesdeep learningfluorescence imaging

Detection of E. Coli Concentration Levels Using Csi-D+ Handheld With Uv-C Fluorescence Imaging and Deep Learning on Leaf Surfaces. (2024)

Pappu K. YadavThomas BurksSnehit VaddiJianwei QinMoon S. KimMark A. RitenourFartash Vasefi

Citrus Disease Classification With Convolution Neural Network Generated Features and Machine Learning Classifiers on Hyperspectral Image Data. (2023)

Pappu K. YadavThomas BurksJianwei QinMoon KimQuentin K. FrederickMegan M. DewdneyMark A. Ritenour

Classification of E. Coli Colony With Generative Adversarial Networks, Discrete Wavelet Transforms and Vgg19. Journal of Radiology and Clinical Imaging (2023)

Pappu Kumar YadavThomas BurksKunal DudheQuentin FrederickJianwei QinMoon KimMark A. Ritenour

Classifying E.Coli Concentration Levels on Multispectral Fluorescence Images With Discrete Wavelet Transform, Deep Learning and Support Vector Machine.. (2023)

Pappu K. YadavThomas BurksQuentin FrederickJianwei QinMoon S. KimMark A. Ritenour

biophysicsdiscrete wavelet transformmultispectral fluorescence imagesbiological imagingmachine learningcomputer visionimage analysismolecular biologyhealth sciencesdeep learningbioimage analysis

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7
10 / page

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design

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precision crop management

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