Tags
Results for: Data Analytics and Machine Learning
Data Analytics and Machine Learning
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Alexandre-Brice Cazenave , bioagronomic crops | remote sensing | high-throughput phenotyping | UAV | drones | phenomobile
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Amanda Stewart , biofruit chemistry | wine | cider | cocoa | fermented foods & beverages | phytochemicals and health | polyphenols | food science education
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Anne M. Brown , biomolecular modeling | drug discovery | computational biochemistry | applied data science | experiential education
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Bingyu Zhao , bioLED light | pest control
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Boris A. Vinatzer , bioemerging diseases | disease diagnostics | biosecurity | big data | databases | genomics | metagenomics
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Brian D. Badgley , biomicrobiome | biogeochemistry | plant-microbe interactions | soil health | water quality
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Brianna B. Posadas , biohuman-computer interaction | user-centered design | big data | precision agriculture | agricultural technology policy
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Carol A. Wilkinson , bioplant-pathogen interactions | crop improvement | precision agriculture | experiential learning
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Chreston Miller , biomachine learning | deep learning | natural language processing | data sensemaking
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Clay Wright , bioplant development | hormone signaling | genetic engineering of yield/resistance/added-value crop traits | genetic variation | protein engineering | biosensors
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Cristina Watkins , biosocial science | aquaculture | stakeholder preferences | non-market economics | structural equation modeling
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David G. Schmale III , biodrones | UAS | pathogen | transport | fungus | toxin | robotics | unmanned
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Durelle Scott , biowater quality | water quantity | restoration | non-point source pollution
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Enette Larson-Meyer , biohuman nutrition | human health | iodine | biofortification | nutrient content
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Feras A. Batarseh , bioAI for agricultural economics | AI for public policy | precision agriculture
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Fernando Biase , biomolecular phenomics | systems genomics | data analytics | sustainability
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Fernando H. Goncalves , biooceanography | fisheries | aquaculture | supply chains | marketing | sustainability indicators | governance | socioeconomics
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Ford Ramsey , bioinsurance | crop modeling | production economics | bayesian statistics
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Glenda Gillaspy , biosignaling molecules | nutrient-poor soil | plant genomics | experiential learning
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Gota Morota , biocomputer vision | data science | high-throughput phenotyping | machine learning | quantitative genetics
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Hasan Seyyedhasani , biorobotics and automation for agricultural applications | sensing systems and data analytics for precision agriculture | machine systems and machines management
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Ismini Lourentzou , bioartificial intelligence | machine learning | natural language processing | computer vision | data science
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J. Leighton Reid , biocommunity ecology | ecological succession | landscape ecology | tropical forest | southeastern grasslands
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Jacob Lahne , biomachine learning | data science | food science | sensory science | natural language processing
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James D. Harder , bioblockchain | food-supply chains | cybersecurity | computer science | provenance
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Jayesh Samtani , biorow | crop | robotics | sensors
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Jeffrey Alwang , bioagricultural development | technology adoption | poverty reduction | data analysis
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Jennifer H. Van Mullekom , biodata visualization | communicating data science | results | experimental design | machine learning | data science as a process | case based experiential learning
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Jim Westwood , bioplant perception and signaling | crop improvement | weed control
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John Bovay , bioeconomics | data analytics | food markets | consumers and human health | environment | farm viability and resilience | food safety | biotechnology | animal welfare | food loss and waste | COVID-19
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John G. Jelesko , biopoison ivy | poison oak | urushiol | allergenic dermatitis | biocontrol | poison ivy rash
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John Ignosh , biofarm energy management | renewables | on-farm adoption | demonstration | evaluation | needs assessment
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Jonathan Czuba , bioagricultural floodplains | water quality | sediment | environmental data and analysis
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Jonathan D. Eisenback , bioplant-parasitic nematodes | automatic identification | genomics identification
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Joseph Oakes , biodrones | imagery | sensors | phenotyping | precision agriculture
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Julie Shortridge , bioirrigation | water | machine learning | climate | decision analysis and support
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Kang Xia , bioenvironmental chemistry | analytical chemistry | organic compounds | environmental occurrence, fate, and impact | soil quality | water quality | machine learning | wastewater treatment | biosolids | animal manure
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Kim Niewolny , biosustainability | food systems | human-centered decision | community-based participatory research
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Klaus Moeltner , bioenvironmental valuation | bayesian statistical methods | benefit transfer | meta-analysis | housing market analysis | electricity and water demand
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Laura K. Strawn , biosource-tracking | foodborne pathogens | food safety | remote sensing | machine learning | predictive modeling
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Lenwood S. Heath , biodata science | computational biology and bioinformatics | computational genomics | computational epidemiology
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Lifu Huang , bioArtificial Intelligence (AI) | natural language processing | machine learning | knowledge discovery
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Lorena Lopez , bioIPM |spatio-temporal distribution | prediction models | interpolation
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Mannin Dodd , biodata engineering | location intelligence | decision support | mapping and visualizations | DevOps | information systems
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Mark A. Williams , bioplant growth promotion | soil | microbiomes | crops and plants | microbial ecology | ecosystem ecology
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Meredith Steele , biomacrosystems | water quality | development | geospatial sciences
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Michael J. Stamper , biodata visualization and information design | certified professional in accessibility core competencies (CPACC) | design thinking & implementation | project management
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Michael Schwarz , bioprecision farming | food and agriculture systems | aquaculture | aquaponics | hydroponics | water quality
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Mizuho Nita , bioplant diseases | grapes | decision support system | big data | machine learning
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Nicholas Santantonio , biogenomic selection | high-throughput phenotyping | longitudinal trait models | breeding program optimization
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Qing Jin , biosustainability | agricultural and food waste | bio-processing | value-added product | technoeconomic analysis
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Reza Ovissipour , biosmart food | AI and ML | cultivated meat
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Rich Helm , biobiomarkers | mass spectrometry | metabolomics | proteomics
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Robin White , biolivestock | sustainability | sensors | robotics | data analytics
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Rodrigo Sarlo , biosmart cities | distributed sensing | sensor and signal analytics
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Saied Mostaghimi , bioenvironmental assessment and remediation | precision agriculture | systems modeling | water quality
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Sally E. Johnson , biomotion capture technologies | biomedical sensor development | precision exercise programs | equine energy expenditures
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Sally Taylor , bioagronomic crops | pest management | plant-insect interactions
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Sanaz Shafian , bioremote sensing | drone | machine learning | decision making tool
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Sean O'Keefe , biofood chemistry | food components | shelf life
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Song Li , bioplant genomics and bioinformatics | machine learning | high throughput phenotyping
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Sook Shin Ha , biobioinformatics | computational biology | data science | machine learning | polypharmacy side effect predictions | scientific web tools | DBMS
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Stella Lucia Volpe , biochronic disease prevention | nutrition | exercise | energy expenditure | mineral metabolism
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Susan Duncan , biocyberbiosecurity | food and agriculture system | consumer service | food quality | sensory evaluation | food packaging | emotions | dairy foods
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Tait Golightly , bioagriculture enterprise management | solar energy | pasture management | land stewardship | equine and livestock management
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Tracy Rutherford , biofood and agriculture systems | consumer engagement | social systems | communication
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Use of Remote Sensing Technologies and UAV to Phenotype Peanuts Varieties at the Tidewater ARECDid you know that Virginia peanuts have the reputation as the 'Cadillac' of peanuts?
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Using Artificial Intelligence and Machine Learning to Better Understand Environmental Fate and Impacts of ContaminantsUnderstand the processes affecting environmental behaviors of various contaminants with the long-term goal of better informing risk assessment and policies to protect human health while minimizing the environmental burden
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Vijay Singh , bioprecision weed management | unmanned aerial systems | digital library
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Vitor R. G. Mercadante , biobiosensors | automated systems | hyperspectral imaging | actionable information | animal health | fertility
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W. Cully Hession , biostreams | rivers | water quality monitoring | remote sensing from drones | laser scanning | plant biomass | riparian vegetation
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Wei Zhang , biodata analytics | econometrics | sustainability | environment
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Yun Yin , bioflavor | aroma | data analytics
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Zachary Easton , biomodeling | environmental biophysics | climate change | agricultural management | water quality | environmental policy
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Zeb Bowden , biodata science | computer vision | machine learning | sensors | robotics and automation | transportation
