{
"id" : "nefe3a984",
"class" : "Person",
"name" : "Thomasson, John",
"primaryEmail" : "thomasson@tamu.edu",
"phone" : "1 979 458 3598",
"orcidId" : "0000-0002-5557-105X",
"preferredTitle" : "Professor",
"positions" : [ {
"id" : "n7a16ecae",
"label" : "Professor",
"type" : "NonFacultyAcademicPosition",
"organizations" : [ {
"id" : "ncd2c1725",
"label" : "Biological and Agricultural Engineering",
"parent" : [ {
"id" : "n68e48a80",
"label" : "College of Agriculture and Life Sciences"
}, {
"id" : "n8627320c",
"label" : "College of Engineering"
} ]
} ]
} ],
"overview" : "Biomass production; Biomass conversion to liquid fuels/chemicals/electricity; Biomass-based supply chain",
"hrJobTitle" : "Program Aide",
"keywords" : [ "Geometric Correction", "Radiometric Calibration", "Agriculture", "Remote Sensing", "Automation", "Remote Sensing Technology", "High-Throughput Screening Assays", "Agriculture", "Phenotype", "Soil", "Buffer Zone", "Image Classification", "Airborne Multispectral Imagery", "Change Detection", "Cotton Root Rot", "NDVI", "Radiometric Calibration", "Manual Exposure", "Auto Exposure", "Mosaic", "Uav", "Ground Control Points", "Height Calibration", "Radiometric Calibration", "Unmanned Aerial Vehicle", "Wireless Network", "Height Calibration", "Collaboration Strategy", "Autonomous Mobile Gcp", "Georeferencing", "Temperature Calibration", "Radiometric Calibration", "Adhesion-controlled Friction", "Cuticle Layer", "Cotton Fiber", "Afm", "Optimization", "Fiber Quality Mapping", "Profit Mapping", "Yield Mapping", "Gps", "Wireless", "Cotton", "Fiber Quality", "Precision Agriculture", "Feral Cotton", "Volunteer Cotton", "Cotton Boll Weevil", "Plant-level", "GIS", "Classification", "Precision Agriculture", "Network Analysis", "Lignocellulosic", "Module", "Ibsal", "Anaerobic Storage", "Logistics", "Sorghum", "2 Zero Hunger", "Uavs", "Gps", "Precision Agriculture", "Agriculture", "Foreign Matter", "Color/trash Meter", "Image Processing", "Color", "Cotton", "Fiber Quality", "Reflectance", "Soil Properties", "Wavelet Analysis", "Precision Agriculture", "Remote Sensing", "Supervised Classification", "Textural Features", "Maximum Likelihood", "Boll Weevil", "Kappa Coefficient", "Parallelepiped", "Co-occurrence Filter", "Mahalanobis Distance", "Volunteer Cotton", "Unmanned Aerial Vehicle (uav)", "Multispectral", "Hayesep Q Adsorbent", "Hipvs", "Melanaphis Sacchari", "Multivariate Analysis", "Sorghum", "Prescription Map", "Unmanned Aerial Vehicle", "Classification", "Cotton Root Rot", "Remote Sensing", "Machine Learning", "Stalk Thickness", "Minimum Distance", "K-means", "IMAGE ANALYSIS", "Vibrational Spectroscopy", "Partial Least Squares Regression", "Algae", "Mir", "Nir", "Renewable Energy", "Total Cellulosic Content", "Exg", "Energy Cane", "Yield", "NDVI", "Interdisciplinary Research", "High-throughput Phenotyping", "Unmanned Aerial Vehicles", "Precision Agriculture", "Remote Sensing", "Yield Monitor", "Reflectance", "Peanut", "Sensors", "Precision Agriculture", "Digital Weeds", "Convolutional Neural Networks", "Deep Learning", "Object Detection", "Precision Agriculture", "Ugv", "Machine Vision", "Cotton", "Robotics", "Automation", "Yield Calibration", "Yield Monitor", "Gps", "Wireless Communication", "Cotton", "Precision Agriculture", "Image Mosaic", "Camera Sensitivity", "Ground Control Point", "Reflectance", "Radiometric Calibration", "Agriculture", "Uav", "Unmanned Aerial System", "Variable-rate Application", "Airborne Imagery", "High-resolution Satellite Imagery", "Prescription Map", "Cotton Root Rot", "Unsupervised Image Classification", "Nonlinear Stretching", "Airborne Multispectral Imagery", "Adaptive Otsu's Method", "Iterative Self Organization Data Analysis", "Fuzzy Set Theory", "Cotton Root Rot", "Autonomous Machines", "Phenotyping", "Cooperative Robots", "Unmanned Ground Vehicles", "Unmanned Aerial Vehicles", "Robotics", "Agriculture", "Remote Sensing", "Vegetation Indices", "Growth Curve", "Plant Height", "High-throughput Phenotyping", "Unmanned Aerial Vehicle", "Instance Segmentation", "Digital Weed Science", "Object Detection", "Semantic Segmentation", "Precision Agriculture", "Plant By Plant", "Superpixel", "Disease", "Classification", "Cotton Root Rot", "Remote Sensing", "Uav", "Regression-kriging", "Soil Sensors", "Precision Agriculture", "Remote Sensing", "Site-specific Crop Management", "Block Kriging", "Loan Rate", "Geostatistics", "Spatial Variability", "Cotton", "Fiber Quality", "Weed Mapping", "Optical Sensor", "Cotton", "Precision Agriculture", "Remote Sensing", "Grain Traceability System", "Binomial Probability Distribution", "Multinomial Probability Distribution", "Sampling Design Process", "Sample Size", "Sorghum Anthracnose", "Phenomics", "Plant Pathology", "High-throughput Phenotyping", "Remote Sensing", "Plant Breeding", "Sorghum", "Colorltrash Meter", "Foreign Matter", "Image Processing", "Color", "Cotton", "Fiber Quality", "Optical Density (od)", "Pond Monitoring", "Open Pond Raceway", "Circuit Design", "Optoelectronics", "Sensor", "Microalgae", "Food Safety", "Electronic Data Processing", "Food Additives", "Edible Grain", "Principal Component Regression", "Visible And Near-infrared Diffuse Reflectance Spectroscopy", "Regression-kriging", "Geostatistics", "Spatial Variability", "Precision Agriculture", "Soil", "Site-specific Crop Management", "Fiber-quality Mapping", "Harvesting", "Gps", "Wireless Communication", "Cotton", "Evanescent Field", "Partial Least Squares Regression", "Soil Carbon", "Clay", "Equipment Design", "Sensitivity And Specificity", "Gossypium", "Cotton Fiber", "Materials Testing", "Equipment Failure Analysis", "Spectroscopy, Fourier Transform Infrared", "Nanostructures", "Reproducibility Of Results", "Scattering, Radiation", "Refractometry", "Conservation Planter", "Animal-drawn Planter", "Small Farmers", "Animal Power", "No-till Planter", "Developing Countries", "Farm Profitability", "Food Security", "Big Data", "Automation", "Natural Light Conditions", "Sugarcane Aphids", "Superpixel", "Pest Identification", "Image Segmentation", "Specialist Committee Machine", "Committee Machine", "Soil Texture", "Spectral Radiance", "Reflectance", "Neural Network", "Remote Sensing", "2 Zero Hunger", "Remote Sensing Technology", "Plants", "Environmental Monitoring", "Diagnostic Imaging", "Crop Surface Model", "Height Calibration", "Plant Height", "Unmanned Aerial Vehicle", "Sorghum", "Field Based Automation", "High Throughput Phenotyping", "Sensors", "Plant Breeding", "Crop Disease", "Proximal Sensing", "Nir", "Phenotyping", "Disease Detection", "Remote Sensing", "Aerial Applicator", "Mosaicking Software", "Image Mosaicking", "Accuracy Assessment", "Airborne Imagery", "0301 Analytical Chemistry", "0607 Plant Biology", "Agricultural Remote Sensing", "Auto-guidance", "Radiometric And Height Calibrations", "Mobile Gcp", "Coordination", "3006 Food Sciences", "4004 Chemical Engineering", "30 Agricultural, Veterinary And Food Sciences", "40 Engineering", "Cotton", "Sensor", "Precision Agriculture", "Remote Sensing", "Nitrogen", "Electrostatic Interaction", "Ag-nanosphere (agns)", "Surfactant", "Phase Transfer", "Surface-enhanced Raman Spectroscopy (sers)", "Volatile Organic Compounds (vocs)", "Temperature Calibration", "Thermal Remote Sensing", "Crop Surface Temperature", "Temperature-controlled Ground References", "Unmanned Aerial Vehicles", "Soil Electrical Conductivity", "Crop Stress", "Soil Variability", "Soil Water Holding Capacity", "Spatial Resolution", "Cotton", "Normalized Difference Vegetation Index", "Precision Agriculture", "Nir Camera", "Cotton", "Fiber Quality", "Sensor", "Precision Agriculture", "Unmanned Aerial Vehicles", "Plant Disease", "Cotton Root Rot", "Agriculture", "Remote Sensing", "Near-infrared Reflectance Spectroscopy", "Precision Agriculture (pa)", "Remote Sensing (rs)", "Soil Property", "Sensor", "Soil", "Near-infared Reflectance Spectroscopy", "Partial Least Squares", "Proximal Sensing", "Wavelet Analysis", "NIRS", "Precision Agriculture", "Remote Sensing", "Soil", "Lint Cleaner", "Nanoscale Friction", "Fiber Friction", "Cotton Fiber", "Adhesion", "Parametric L-system", "Plant Modeling", "Plant Rendering", "Virtual Agriculture", "Ray Tracing", "Convolutional Neural Networks", "Data Matrix Code", "Ruggedness", "Grain Traceability", "Readability", "Tracer", "Traceability", "2 Zero Hunger", "IMAGE ANALYSIS", "Uav", "Cotton Root Rot", "Plant-by-plant", "Single-plant", "Disease Detection", "Machine Learning", "Plant-level", "Precision Agriculture", "Classification", "Artificial Potential Field", "Planning", "Autonomous Grain Carts", "Agricultural Machinery", "Agriculture", "Task Analysis", "Navigation Solution", "Wireless Lan", "Navigation", "Fuzzy Logic Control", "Sensors", "Motion Planning", "Textile Fiber Features", "Sliding Friction", "Fiber Simulation Model", "Cotton Fiber", "Semi-supervised", "Disease Detection", "Classification", "Cotton Root Rot", "IMAGE ANALYSIS", "Precision Agriculture", "Uav", "Machine Learning", "Image Blurriness", "Gcp-based Height Calibration", "Multi-level Gcps", "Fixed-wing Uav", "Sorghum Plant Height", "Structure From Motion", "Wind Speed", "Unmanned Aerial Vehicles", "Plant Disease", "Cotton Root Rot", "Agriculture", "Remote Sensing", "Spray Nozzle Assignment", "Agriculture Automation", "Weeding Robot", "Motion And Path Planning", "Precision Agriculture", "Profit Mapping", "Yield Mapping", "Fiber-quality Mapping", "Gps", "Wireless", "Cotton", "Fiber Quality", "Precision Agriculture", "Syn-gas Quality", "Downdraft Gasifier", "Gasification", "Biomass", "Bioenergy", "Biomass Logistics", "Yield", "Biofuels", "Remote Sensing", "Sorghum" ],
"educationAndTraining" : [ {
"id" : "nefe3a984_40033651-b3ca-11e9-adb7-00155d9b610c_7cf8eee1",
"label" : "EducationalProcess",
"name" : "M.S. Master of Science",
"organization" : {
"id" : "n40033651-b3ca-11e9-adb7-00155d9b610c",
"label" : "Louisiana State University - (Baton Rouge, Louisiana, United States)"
},
"field" : "Agricultural Engineering",
"abbreviation" : "M.S.",
"endDate" : "1989-01-01T00:00:00",
"isDateSuppressed" : "display_education_year"
}, {
"id" : "nefe3a984_ea0e9621-b399-11e9-adb7-00155d9b610c_730827c3",
"label" : "EducationalProcess",
"name" : "Ph.D. Doctor of Philosophy",
"organization" : {
"id" : "nea0e9621-b399-11e9-adb7-00155d9b610c",
"label" : "University of Kentucky - (Lexington, Kentucky, United States)"
},
"field" : "Agricultural Engineering",
"abbreviation" : "Ph.D.",
"endDate" : "1997-01-01T00:00:00",
"isDateSuppressed" : "display_education_year"
}, {
"id" : "nefe3a984_ddcdecf7-b399-11e9-adb7-00155d9b610c_4f1ed6c2",
"label" : "EducationalProcess",
"name" : "B.S. Bachelor of Science",
"organization" : {
"id" : "nddcdecf7-b399-11e9-adb7-00155d9b610c",
"label" : "Texas Tech University - (Lubbock, Texas, United States)"
},
"field" : "Agricultural Engineering",
"abbreviation" : "B.S.",
"endDate" : "1987-01-01T00:00:00",
"isDateSuppressed" : "display_education_year"
} ],
"awardsAndHonors" : [ {
"id" : "nae7ac688-a837-11e9-bf6d-00155d562649",
"label" : "Superior Paper Award"
} ],
"publications" : [ {
"id" : "n173284SE",
"label" : "Multispectral sensor for in-situ cotton fiber quality measurement",
"type" : "ConferencePaper",
"publicationDate" : "2008-01-01T00:00:00"
}, {
"id" : "n173261SE",
"label" : "Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n540902SE",
"label" : "Autonomous Mobile Ground Control Point Improves Accuracy of Agricultural Remote Sensing through Collaboration with UAV",
"type" : "AcademicArticle",
"publicationDate" : "2020-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n173278SE",
"label" : "Wireless tracking of cotton modules. Part 2: Automatic machine identification and system testing",
"type" : "AcademicArticle",
"publicationDate" : "2011-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n604833SE",
"label" : "GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing",
"type" : "AcademicArticle",
"publicationDate" : "2022-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n162009SE",
"label" : "Plant pathology and nematology: Site-specific relationships between cotton root rot and soil properties",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n173275SE",
"label" : "Wavelet incorporated spectral analysis for soil property determination",
"type" : "AcademicArticle",
"publicationDate" : "2006-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n481608SE",
"label" : "Multivariate analysis of sorghum volatiles for the fast screening of sugarcane aphid infestation",
"type" : "AcademicArticle",
"publicationDate" : "2020-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173287SE",
"label" : "Exploring spatial variation of lint yield, fiber quality, gross revenue, and net profitability in a cotton field: A module by module approach",
"type" : "ConferencePaper",
"publicationDate" : "2008-01-01T00:00:00"
}, {
"id" : "n396996SE",
"label" : "Imaging for High-Throughput Phenotyping in Energy Sorghum",
"type" : "AcademicArticle",
"publicationDate" : "2016-03-01T00:00:00",
"publisher" : "MDPI",
"tags" : "7 Affordable and Clean Energy"
}, {
"id" : "n471990SE",
"label" : "Forecasting Yield and Lignocellulosic Composition of Energy Cane Using Unmanned Aerial Systems",
"type" : "AcademicArticle",
"publicationDate" : "2020-05-17T00:00:00",
"publisher" : "MDPI",
"venue" : { },
"tags" : "7 Affordable and Clean Energy"
}, {
"id" : "n162110SE",
"label" : "Printing data matrix code on food-grade tracers for grain traceability",
"type" : "AcademicArticle",
"publicationDate" : "2012-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n113373SE",
"label" : "Comprehensive UAV agricultural remote-sensing research at Texas A&M University",
"type" : "ConferencePaper",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173281SE",
"label" : "Optical peanut yield monitor: Development and testing",
"type" : "AcademicArticle",
"publicationDate" : "2006-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n173264SE",
"label" : "Algal lipid quantification in-situ with nile red fluorescence",
"type" : "ConferencePaper",
"publicationDate" : "2012-01-01T00:00:00"
}, {
"id" : "n645584SE",
"label" : "Opportunities for Robotic Systems and Automation in Cotton Production",
"type" : "AcademicArticle",
"publicationDate" : "2021-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n162032SE",
"label" : "A module-specific post-processing calibration method to improve cotton yield mapping",
"type" : "AcademicArticle",
"publicationDate" : "2009-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n339492SE",
"label" : "A case study of comparing radiometrically calibrated reflectance of an image mosaic from unmanned aerial system with that of a single image from manned aircraft over a same area",
"type" : "ConferencePaper",
"publicationDate" : "2017-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n381422SE",
"label" : "Multifunctional Ground Control Points based on Wireless System Network for UAS Application",
"type" : "ConferencePaper",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)"
}, {
"id" : "n145591SE",
"label" : "Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot",
"type" : "AcademicArticle",
"publicationDate" : "2015-08-26T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics"
}, {
"id" : "n504758SE",
"label" : "The Future of Cooperative Air and Ground Phenotyping",
"type" : "ConferencePaper",
"publicationDate" : "2020-06-02T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { },
"tags" : "2 Zero Hunger"
}, {
"id" : "n538902SE",
"label" : "Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping",
"type" : "AcademicArticle",
"publicationDate" : "2021-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n415776SE",
"label" : "Plant-by-Plant Level Classification of Cotton Root Rot by UAV Remote Sensing",
"type" : "ConferencePaper",
"publicationDate" : "2019-05-14T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173267SE",
"label" : "Regression-kriging for characterizing soils with remotesensing data",
"type" : "AcademicArticle",
"publicationDate" : "2011-09-01T00:00:00",
"publisher" : "Springer Nature"
}, {
"id" : "n173270SE",
"label" : "Ground-based sensing system for weed mapping in cotton",
"type" : "AcademicArticle",
"publicationDate" : "2008-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n162138SE",
"label" : "Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system",
"type" : "AcademicArticle",
"publicationDate" : "2011-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n644827SE",
"label" : "Cotton Revenue Apportioned between Lint Yield and Fiber Quality: A Precision Agriculture Perspective",
"type" : "AcademicArticle",
"publicationDate" : "2011-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n384969SE",
"label" : "Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system",
"type" : "AcademicArticle",
"publicationDate" : "2018-11-02T00:00:00",
"publisher" : "Taylor & Francis",
"tags" : "2 Zero Hunger"
}, {
"id" : "n162130SE",
"label" : "Development and characterization of food-grade tracers for the global grain tracing and recall system.",
"type" : "AcademicArticle",
"publicationDate" : "2010-10-01T00:00:00",
"publisher" : "American Chemical Society (ACS)",
"venue" : { }
}, {
"id" : "n147841SE",
"label" : "VNIR diffuse reflectance spectroscopy for agricultural soil property determination based on regression-kriging",
"type" : "AcademicArticle",
"publicationDate" : "2007-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n162023SE",
"label" : "Mid-infrared attenuated total reflectance spectroscopy for soil carbon and particle size determination",
"type" : "AcademicArticle",
"publicationDate" : "2014-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173286SE",
"label" : "Cotton fiber quality characterization with light scattering and fourier transform infrared techniques.",
"type" : "AcademicArticle",
"publicationDate" : "2009-01-01T11:11:11",
"publisher" : "Sage Publications",
"venue" : { }
}, {
"id" : "n173263SE",
"label" : "Information integration between farm and processing facility",
"type" : "ConferencePaper",
"publicationDate" : "2007-12-01T00:00:00"
}, {
"id" : "n330048SE",
"label" : "Volatile Detection from Plant Headspace with Modified Surface-Enhanced Raman Spectroscopy",
"type" : "ConferencePaper",
"publicationDate" : "2017-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)"
}, {
"id" : "n381425SE",
"label" : "A review of the state of the art in agricultural automation. Part I: Sensing technologies for optimization of machine operation and farm inputs",
"type" : "ConferencePaper",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)"
}, {
"id" : "n145589SE",
"label" : "Comparison of mosaicking techniques for airborne images from consumer-grade cameras",
"type" : "AcademicArticle",
"publicationDate" : "2016-03-29T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics"
}, {
"id" : "n420338SE",
"label" : "Adsorbent-SERS Technique for Determination of Plant VOCs from Live Cotton Plants and Dried Teas.",
"type" : "AcademicArticle",
"publicationDate" : "2020-02-01T00:00:00",
"publisher" : "American Chemical Society (ACS)",
"venue" : { }
}, {
"id" : "n415777SE",
"label" : "Coordination and Control for Automatic Mobile Ground Control Points in Agricultural Remote Sensing",
"type" : "ConferencePaper",
"publicationDate" : "2019-05-14T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173266SE",
"label" : "Grain Traceability and Its Role in Food Safety",
"type" : "AcademicArticle",
"publicationDate" : "2011-07-01T00:00:00",
"publisher" : "Scientific Societies"
}, {
"id" : "n540903SE",
"label" : "Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References.",
"type" : "AcademicArticle",
"publicationDate" : "2020-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { },
"tags" : "2 Zero Hunger"
}, {
"id" : "n173258SE",
"label" : "Small UAS in agricultural remote-sensing research at Texas A&M",
"type" : "AcademicArticle",
"publicationDate" : "2016-07-01T00:00:00",
"venue" : { }
}, {
"id" : "n173283SE",
"label" : "MULTISPECTRAL SENSOR FOR IN-SITU COTTON FIBER QUALITY MEASUREMENT",
"type" : "AcademicArticle",
"publicationDate" : "2008-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n182072SE",
"label" : "Anew perspective to near-infrared reflectance spectroscopy: A wavelet approach",
"type" : "AcademicArticle",
"publicationDate" : "2007-01-01T00:00:00",
"venue" : { }
}, {
"id" : "n380771SE",
"label" : "Multiscale Frictional Properties of Cotton Fibers: A Review",
"type" : "AcademicArticle",
"publicationDate" : "2018-09-01T00:00:00",
"publisher" : "MDPI"
}, {
"id" : "n162108SE",
"label" : "Ruggedness of 2D code printed on grain tracers for implementing a prospective grain traceability system to the bulk grain delivery system",
"type" : "AcademicArticle",
"publicationDate" : "2013-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173269SE",
"label" : "A comparison of regression and regression-kriging for soil characterization using remote sensing imagery",
"type" : "ConferencePaper",
"publicationDate" : "2007-11-01T00:00:00"
}, {
"id" : "n520533SE",
"label" : "Motion Planning for Autonomous Grain Carts",
"type" : "AcademicArticle",
"publicationDate" : "2021-03-14T00:00:00",
"publisher" : "Institute of Electrical and Electronics Engineers (IEEE)"
}, {
"id" : "n466981SE",
"label" : "Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing",
"type" : "AcademicArticle",
"publicationDate" : "2020-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n384970SE",
"label" : "Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.",
"type" : "AcademicArticle",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n415774SE",
"label" : "UAV Data Reliability Improvements based on Multifunctional GCPs",
"type" : "ConferencePaper",
"publicationDate" : "2019-06-07T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n662970SE",
"label" : "Algorithm and System Development for Robotic Micro-Volume Herbicide Spray Towards Precision Weed Management",
"type" : "AcademicArticle",
"publicationDate" : "2022-10-01T00:00:00",
"publisher" : "Institute of Electrical and Electronics Engineers (IEEE)",
"venue" : { }
}, {
"id" : "n173272SE",
"label" : "Wireless tracking of cotton modules. Part 1: Automatic message triggering",
"type" : "AcademicArticle",
"publicationDate" : "2011-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n328851SE",
"label" : "Cotton Fiber-Quality Prediction Based on Spatial Variability in Soils",
"type" : "AcademicArticle",
"publicationDate" : "2017-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n310633SE",
"label" : "Automated Geographic Registration and Radiometric Correction for UAV-based Mosaics",
"type" : "ConferencePaper",
"publicationDate" : "2017-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173259SE",
"label" : "Special series on unmanned aircraft, part 2: Unmanned aircraft systems: All types and sizes",
"type" : "AcademicArticle",
"publicationDate" : "2016-05-01T00:00:00",
"venue" : { }
}, {
"id" : "n173280SE",
"label" : "Engineering and ginning: Effect of machine-fiber interaction on cotton fiber quality and foreign-matter particle attachment to fiber",
"type" : "AcademicArticle",
"publicationDate" : "2010-01-01T11:11:11"
}, {
"id" : "n113374SE",
"label" : "Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research.",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T00:00:00",
"publisher" : "Public Library of Science (PLoS)",
"venue" : { }
}, {
"id" : "n386284SE",
"label" : "Quality assessment of radiometric calibration of UAV image mosaics",
"type" : "ConferencePaper",
"publicationDate" : "2018-07-16T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n404195SE",
"label" : "Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV.",
"type" : "AcademicArticle",
"publicationDate" : "2019-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n162031SE",
"label" : "A new perspective to near-infrared reflectance spectroscopy: A wavelet approach",
"type" : "AcademicArticle",
"publicationDate" : "2007-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n645585SE",
"label" : "Probing of Nanoscale Friction and Mechanical Characteristics of Cotton Fiber's Surface",
"type" : "AcademicArticle",
"publicationDate" : "2019-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n150652SE",
"label" : "Evaluation of a Modular System for Low-Cost Transport and Storage of Herbaceous Biomass",
"type" : "AcademicArticle",
"publicationDate" : "2014-09-01T00:00:00",
"publisher" : "Springer Nature",
"tags" : "7 Affordable and Clean Energy"
}, {
"id" : "n381423SE",
"label" : "A review of the state of the art in agricultural automation. Part II: On-farm agricultural communications and connectivity",
"type" : "ConferencePaper",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"tags" : "2 Zero Hunger"
}, {
"id" : "n173271SE",
"label" : "Development of tracers for grain tracing system",
"type" : "ConferencePaper",
"publicationDate" : "2007-11-01T00:00:00"
}, {
"id" : "n469075SE",
"label" : "Farmers of the future will utilize drones, robots and GPS",
"type" : "Webpage",
"publicationDate" : "2015-03-01T00:00:00",
"publisher" : "The Conversation US, Inc."
}, {
"id" : "n173268SE",
"label" : "Image-processing solution to cotton color measurement problems: Part I. Instrument design and construction",
"type" : "AcademicArticle",
"publicationDate" : "2005-03-01T00:00:00",
"venue" : { }
}, {
"id" : "n415775SE",
"label" : "Assessment of Different Image Enhancement and Classification Techniques in Detection of Volunteer Cotton Using UAV Remote Sensing",
"type" : "ConferencePaper",
"publicationDate" : "2019-05-14T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n491103SE",
"label" : "Unmanned aerial vehicle remote sensing to delineate cotton root rot",
"type" : "AcademicArticle",
"publicationDate" : "2020-07-01T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n644826SE",
"label" : "Site-Specific Relationships between Cotton Root Rot and Soil Properties",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n173260SE",
"label" : "NIR REFLECTANCE AND MIR ATTENUATED TOTAL REFLECTANCE SPECTROSCOPY FOR CHARACTERIZING ALGAL BIOMASS COMPOSITION",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"venue" : { }
}, {
"id" : "n173285SE",
"label" : "Spatial variability analysis of soil physical properties of alluvial soils",
"type" : "AcademicArticle",
"publicationDate" : "2005-07-01T00:00:00",
"publisher" : "Wiley",
"venue" : { }
}, {
"id" : "n570796SE",
"label" : "A powerful image synthesis and semi-supervised learning pipeline for site-specific weed detection",
"type" : "AcademicArticle",
"publicationDate" : "2021-11-01T00:00:00",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173277SE",
"label" : "Cotton Leaf Reflectance Changes after Removal from the Plant",
"type" : "AcademicArticle",
"publicationDate" : "2009-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n361059SE",
"label" : "Site-Specific Management of Cotton Root Rot Using Airborne and High-Resolution Satellite Imagery and Variable-Rate Technology",
"type" : "AcademicArticle",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"venue" : { }
}, {
"id" : "n166213SE",
"label" : "Corn and sorghum phenotyping using a fixed-wing UAV-based remote sensing system",
"type" : "ConferencePaper",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173274SE",
"label" : "Cotton-harvester-flow simulator for testing cotton yield monitors",
"type" : "AcademicArticle",
"publicationDate" : "2010-12-01T00:00:00",
"venue" : { }
}, {
"id" : "n147859SE",
"label" : "Spatial variation of fiber quality and associated loan rate in a dryland cotton field",
"type" : "AcademicArticle",
"publicationDate" : "2008-08-01T00:00:00",
"publisher" : "Springer Nature"
}, {
"id" : "n173288SE",
"label" : "Image-processing solution to cotton color measurement problems: Part II. Instrument test and evaluation",
"type" : "AcademicArticle",
"publicationDate" : "2005-03-01T00:00:00",
"venue" : { }
}, {
"id" : "n340872SE",
"label" : "Algae optical density sensor for pond monitoring and production process control",
"type" : "AcademicArticle",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "International Journal of Agricultural and Biological Engineering (IJABE)",
"venue" : { }
}, {
"id" : "n150666SE",
"label" : "Optimizing the logistics of biomass harvest and transport Critical issues and preliminary observations",
"type" : "ConferencePaper",
"publicationDate" : "2009-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n182071SE",
"label" : "Wireless-and-GPS system for cotton fiber-quality mapping",
"type" : "AcademicArticle",
"publicationDate" : "2012-02-01T00:00:00",
"publisher" : "Springer Nature"
}, {
"id" : "n421758SE",
"label" : "VOCs determination by adsorbent-Raman system in food and botanicals",
"type" : "AcademicArticle",
"publicationDate" : "2020-03-26T00:00:00",
"publisher" : "Royal Society of Chemistry (RSC)",
"venue" : { }
}, {
"id" : "n173257SE",
"label" : "ANIMAL-DRAWN CONSERVATION-TILLAGE PLANTER DESIGNED FOR SMALL FARMS IN THE DEVELOPING WORLD",
"type" : "AcademicArticle",
"publicationDate" : "2016-12-05T00:00:00",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"venue" : { }
}, {
"id" : "n173282SE",
"label" : "Toward on-line measurement of algal properties",
"type" : "ConferencePaper",
"publicationDate" : "2010-01-01T00:00:00"
}, {
"id" : "n476018SE",
"label" : "Report from the conference, 'identifying obstacles to applying big data in agriculture'",
"type" : "AcademicArticle",
"publicationDate" : "2021-02-01T00:00:00",
"publisher" : "Springer Nature",
"venue" : { },
"tags" : "2 Zero Hunger"
}, {
"id" : "n643893SE",
"label" : "A segmentation algorithm incorporating superpixel block and holistically nested edge for sugarcane aphids images under natural light conditions",
"type" : "AcademicArticle",
"publicationDate" : "2022-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173276SE",
"label" : "Soil texture classification with artificial neural networks operating on remote sensing data",
"type" : "AcademicArticle",
"publicationDate" : "2006-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n381421SE",
"label" : "A review of the state of the art in agricultural automation. Part III: Agricultural machinery navigation systems",
"type" : "ConferencePaper",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"tags" : "2 Zero Hunger"
}, {
"id" : "n645583SE",
"label" : "Ruggedized, field-ready snapshot light-guide-based imaging spectrometer for environmental and remote sensing applications.",
"type" : "AcademicArticle",
"publicationDate" : "2022-03-28T00:00:00",
"publisher" : "Optica Publishing Group",
"venue" : { }
}, {
"id" : "n370237SE",
"label" : "Calibrated Plant Height Estimates with Structure from Motion from Fixed-wing UAV Images",
"type" : "ConferencePaper",
"publicationDate" : "2018-05-21T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n349604SE",
"label" : "High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems",
"type" : "ConferencePaper",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n162013SE",
"label" : "Modeling spatial data for precision agriculture and remote sensing",
"type" : "ConferencePaper",
"publicationDate" : "2011-01-01T00:00:00"
}, {
"id" : "n504757SE",
"label" : "Detection of crown rot in wheat utilising near-infrared spectroscopy: towards remote and robotic sensing",
"type" : "ConferencePaper",
"publicationDate" : "2020-04-21T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n173273SE",
"label" : "Ground-based sensing system for cotton nitrogen status determination",
"type" : "AcademicArticle",
"publicationDate" : "2006-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n415773SE",
"label" : "Complexes Formed by Hydrophobic Interaction between Ag-Nanospheres and Adsorbents for the Detection of Methyl Salicylate VOC.",
"type" : "AcademicArticle",
"publicationDate" : "2019-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n349788SE",
"label" : "Strategies for soil-based precision agriculture in cotton",
"type" : "ConferencePaper",
"publicationDate" : "2016-01-01T11:11:11",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { }
}, {
"id" : "n386285SE",
"label" : "Disease Detection and Mitigation in a Cotton Crop with UAV Remote Sensing",
"type" : "ConferencePaper",
"publicationDate" : "2018-05-15T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { },
"tags" : "2 Zero Hunger"
}, {
"id" : "n173279SE",
"label" : "Remote sensing of soil properties in precision agriculture: A review",
"type" : "AcademicArticle",
"publicationDate" : "2011-09-01T00:00:00",
"publisher" : "Springer Nature"
}, {
"id" : "n173262SE",
"label" : "Monitoring Cotton Root Rot Progression within a Growing Season Using Airborne Multispectral Imagery",
"type" : "AcademicArticle",
"publicationDate" : "2014-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n150710SE",
"label" : "Harvester-based Sensing System for Cotton Fiber Quality Mapping",
"type" : "AcademicArticle",
"publicationDate" : "2016-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n630783SE",
"label" : "Modeling realistic 3D agricultural vegetations using a photometric-based approach and its application to weed detection",
"type" : "AcademicArticle",
"publicationDate" : "2022-07-01T00:00:00",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n381424SE",
"label" : "A review of the state of the art in agricultural automation. Part IV: Sensor-based nitrogen management technologies",
"type" : "ConferencePaper",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "American Society of Agricultural and Biological Engineers (ASABE)",
"tags" : "2 Zero Hunger"
}, {
"id" : "n490226SE",
"label" : "A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing",
"type" : "AcademicArticle",
"publicationDate" : "2020-01-01T11:11:11",
"publisher" : "MDPI",
"venue" : { }
}, {
"id" : "n371760SE",
"label" : "Variability of fiber friction among cotton varieties: Influence of salient fiber physical metrics",
"type" : "AcademicArticle",
"publicationDate" : "2018-01-01T11:11:11",
"publisher" : "Elsevier",
"venue" : { }
}, {
"id" : "n173265SE",
"label" : "SYN-GAS QUALITY EVALUATION FOR BIOMASS GASIFICATION WITH A DOWNDRAFT GASIFIER",
"type" : "AcademicArticle",
"publicationDate" : "2009-01-01T11:11:11",
"venue" : { }
}, {
"id" : "n147822SE",
"label" : "High-biomass sorghum yield estimate with aerial imagery",
"type" : "AcademicArticle",
"publicationDate" : "2011-01-01T00:00:00",
"publisher" : "SPIE, the international society for optics and photonics",
"venue" : { },
"tags" : "7 Affordable and Clean Energy"
} ],
"creativeWorks" : [ {
"id" : "n888e84b4",
"label" : "BAEN370 Meas Ctrl Bio & Ag Proc"
}, {
"id" : "n66e4eb6f",
"label" : "BAEN485 Directed Studies"
}, {
"id" : "n2aca7125",
"label" : "BAEN399 Professional Development"
}, {
"id" : "n55c06b59",
"label" : "BAEN491 Research"
}, {
"id" : "n2555ce2a",
"label" : "BAEN684 Professional Internship"
}, {
"id" : "n2555ce2a",
"label" : "BAEN684 Professional Internship: In-ab"
}, {
"id" : "n12341873",
"label" : "AGSM491 Research"
}, {
"id" : "n97b063a3",
"label" : "BAEN375 Des Of Ag Mach & Struc"
}, {
"id" : "nf894f5be",
"label" : "BAEN691 Research: In-ab"
}, {
"id" : "nf894f5be",
"label" : "BAEN691 Research"
} ],
"researcherOn" : [ {
"id" : "nc46a6b7a-e865-11ea-a81a-005056bb4fb7",
"label" : "Automated TERRA Phenotyping System for Genetic Improvement of Energy Crops",
"awardedBy" : {
"id" : "nf2f6e1dc-a811-11e9-bf6d-00155d562649",
"label" : "United States Department of Energy - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "Department of Energy"
},
"role" : "CoPrincipalInvestigatorRole",
"startDate" : "2015-01-01T00:00:00",
"endDate" : "2018-01-01T00:00:00"
}, {
"id" : "nee9ebdff-e866-11ea-a81a-005056bb4fb7",
"label" : "Cotton Classification",
"awardedBy" : {
"id" : "n2bdb1505-a812-11e9-bf6d-00155d562649",
"label" : "United States Department of Agriculture - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "USDA-Foreign Agricultural Service"
},
"role" : "InvestigatorRole",
"startDate" : "2016-01-01T00:00:00",
"endDate" : "2017-01-01T00:00:00"
}, {
"id" : "neb57765b-e866-11ea-a81a-005056bb4fb7",
"label" : "Detection, identification, and mitigation of feral cotton plants",
"awardedBy" : {
"id" : "n2bdb1505-a812-11e9-bf6d-00155d562649",
"label" : "United States Department of Agriculture - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "USDA-APHIS-Plant Protection and Quarantine"
},
"role" : "PrincipalInvestigatorRole",
"startDate" : "2019-01-01T00:00:00",
"endDate" : "2020-01-01T00:00:00"
}, {
"id" : "n042b911d-e867-11ea-a81a-005056bb4fb7",
"label" : "Identifying obstacles to applying big data to high-resolution decision-making in production agriculture",
"awardedBy" : {
"id" : "n2bdb1505-a812-11e9-bf6d-00155d562649",
"label" : "United States Department of Agriculture - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "USDA-National Institute of Food And Agriculture"
},
"role" : "PrincipalInvestigatorRole",
"startDate" : "2018-01-01T00:00:00",
"endDate" : "2019-01-01T00:00:00"
}, {
"id" : "nf88ede4f-4148-11eb-9a3e-005056bb4fb7",
"label" : "Integrated Systems Research and Development in Automation and Sensors for Sustainability of Specialty Crops",
"awardedBy" : {
"id" : "n70a5b595-a803-11e9-bf6d-00155d562649",
"label" : "National Institute of Food and Agriculture - (Washington D.C., District of Columbia, United States)"
},
"role" : "PrincipalInvestigatorRole",
"startDate" : "2019-01-01T00:00:00",
"endDate" : "2023-01-01T00:00:00"
}, {
"id" : "ne72f1ffa-e866-11ea-a81a-005056bb4fb7",
"label" : "Detection and Removal of Plastic Contamination of Cotton and Development of Cotton Gin Process Models",
"awardedBy" : {
"id" : "na96268de-a7ff-11e9-bf6d-00155d562649",
"label" : "Agricultural Research Service - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "USDA - Agricultural Research Service"
},
"role" : "PrincipalInvestigatorRole",
"startDate" : "2018-01-01T00:00:00",
"endDate" : "2021-01-01T00:00:00"
}, {
"id" : "neb6bb221-e866-11ea-a81a-005056bb4fb7",
"label" : "Texas A&M AgriLife Cooperation for the Detection, Identification and Mitigation of plant pests, pathogens and invasive species.",
"awardedBy" : {
"id" : "n2bdb1505-a812-11e9-bf6d-00155d562649",
"label" : "United States Department of Agriculture - (Washington D.C., District of Columbia, United States)",
"preferredLabel" : "USDA-APHIS-Plant Protection and Quarantine"
},
"role" : "PrincipalInvestigatorRole",
"startDate" : "2016-01-01T00:00:00",
"endDate" : "2018-01-01T00:00:00"
} ],
"teachingActivities" : [ {
"id" : "n888e84b4",
"label" : "BAEN370 Meas Ctrl Bio & Ag Proc",
"role" : "Teaching Assistant"
}, {
"id" : "n66e4eb6f",
"label" : "BAEN485 Directed Studies",
"role" : "Instructor"
}, {
"id" : "n2aca7125",
"label" : "BAEN399 Professional Development",
"role" : "Instructor"
}, {
"id" : "n55c06b59",
"label" : "BAEN491 Research",
"role" : "Instructor"
}, {
"id" : "n2555ce2a",
"label" : "BAEN684 Professional Internship",
"role" : "Instructor"
}, {
"id" : "n2555ce2a",
"label" : "BAEN684 Professional Internship: In-ab",
"role" : "Instructor"
}, {
"id" : "n12341873",
"label" : "AGSM491 Research",
"role" : "Instructor"
}, {
"id" : "n97b063a3",
"label" : "BAEN375 Des Of Ag Mach & Struc",
"role" : "Instructor"
}, {
"id" : "nf894f5be",
"label" : "BAEN691 Research: In-ab",
"role" : "Instructor"
}, {
"id" : "nf894f5be",
"label" : "BAEN691 Research",
"role" : "Instructor"
} ],
"email" : "thomasson@tamu.edu",
"firstName" : "John",
"lastName" : "Thomasson",
"streetAddress" : "Texas A&M University; Biological & Agricultural Engineering; 2117 TAMU",
"locality" : "College Station",
"region" : "TX",
"postalCode" : "77843-2117",
"country" : "USA",
"organizations" : [ "Biological and Agricultural Engineering" ],
"schools" : [ "College of Agriculture and Life Sciences", "College of Engineering" ],
"netid" : "thomasson",
"uid" : "83f60c7eae61f5af329206fd5d7fba44",
"etdChairOf" : [ {
"id" : "n1cd49f66",
"label" : "Husin, Nur Azuan Bin (2016-01). Impact of Seed Cotton Compression on Cottonseed Quality. Master's Thesis.",
"url" : "http://hdl.handle.net/1969.1/156809",
"publicationDate" : "2016-05-01T00:00:00"
}, {
"id" : "n7ebf9786",
"label" : "Marley, Elizabeth Grace (2018-07). Non-Invasive Detection of Soil Moisture in Wet Vertisols Using Electrical Resistivity Tomography. Master's Thesis.",
"url" : "http://hdl.handle.net/1969.1/174141",
"publicationDate" : "2018-08-01T00:00:00"
}, {
"id" : "nf8ad1cc6",
"label" : "Batz Alvarado, Jose Alejandro (2016-11). Sorghum High-throughput Phenotyping Platform for Greenhouses. Master's Thesis.",
"url" : "http://hdl.handle.net/1969.1/159045",
"publicationDate" : "2016-12-01T00:00:00"
}, {
"id" : "n6623129b",
"label" : "Cribben, Curtis D (2013-04). Ground-based Technologies for Cotton Root Rot Control. Master's Thesis.",
"url" : "http://hdl.handle.net/1969.1/149624",
"publicationDate" : "2013-05-01T00:00:00"
}, {
"id" : "nf2ad311a",
"label" : "Hosseinali, Farzad (2018-05). Surface Attributes and Multiscale Frictional Properties of Cotton (Gossypium Hirsutum L.) Fibers. Doctoral Dissertation.",
"url" : "http://hdl.handle.net/1969.1/173290",
"publicationDate" : "2018-05-01T00:00:00"
}, {
"id" : "nbc1498fc",
"label" : "Sjolander, Andrew J. (2010-10). Automation of a Wireless Cotton Module Tracking System for Cotton Fiber Quality Mapping. Master's Thesis.",
"url" : "http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7192",
"publicationDate" : "2010-10-01T00:00:00"
} ],
"featuredProfileDisplay" : "true",
"publicationToInterfolio" : "true",
"modTime" : "Sun Oct 01 15:33:53 UTC 2023",
"type" : [ "NonFacultyAcademic" ],
"_links" : {
"self" : {
"href" : "https://api.library.tamu.edu/scholars-discovery/individual/nefe3a984"
},
"individual" : {
"href" : "https://api.library.tamu.edu/scholars-discovery/individual/nefe3a984"
}
}
}