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15,895 grants matching “artificial intelligence”
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** RISING LABOR COSTS ARE THRENTENING THE PROFITABILITY OF THE UNITED STATES APPLE INDUSTRY. IT IS IMPERATIVE TO DEVELOP COST- AND LABOR-SAVING TECHNOLOGY TO MAXIMIZE THE NET PROFIT OF APPLE INDUSTRY STAKEHOLDERS AND ENSURE THE CONTINUED COMPETITIVENESS OF THE FRUIT INDUSTRY. AUTOMATED, IN-FIELD SORTING OF HARVESTED FRUIT, PRIOR TO POSTHARVEST OPERATIONS, CAN ACHIEVE ECONOMIC BENEFITS OF HUNDREDS OF MILLIONS OF DOLLARS FOR APPLE GROWERS AND PACKERS. CURRENTLY THERE IS NO COMMERICAL AUTOMATION TECHNOLOGY FOR IN-FIELD SORTING OF APPLES. ALTHOUGH MACHINE VISION TECHNOLOGY HAS BEEN ADOPTED FOR AUTOMATED FRUIT SORTING AT PACKINGHOUSES, CRITICAL CHALLENGES EXIST IN DEVELOPING MACHINE VISION SYSTEMS FOR ORCHARD APPLICATION. TO FAIL THE GAP, BUILDING UPON PREVIOUS RESEARCH, OUR TEAM PROPOSE TO DEVELOP AN AI (ARTIFICIAL INTELLIGENCE) -ENHANCED MULTISPECTRAL VISION-BASED IN-FIELD APPLE SORTING SYSTEM. OUR LONG-RANGE GOAL IS TO DEVELOP MACHINE VISION TECHNOLOGY FOR COMMERCIAL IN-FIELD GRADING AND SORTING OF TREE FRUITS. SPECIFIC OBJECTIVES OF THE PROPOSED RESEARCH ARE TO: 1) DEVELOP A MULTISPECTRAL IMAGING SYSTEM INTEGRATED WITH A SCREW CONVEYOR FOR FULL-SURFACE FRUIT INSPECTION, 2) DEVELOP DEEP LEARNING MODELS FOR GRADING APPLES ACCORDING TO SIZE, COLOR AND SURFACE DEFECTS, 3) DEVELOP A SORTER TO EFFICIENTLY SORT APPLES INTO THREE GRADES , 4) DEVELOP USER-FRIENDLY, OPEN-SOURCED SOFTWARE PROGRAMS FOR SYSTEM OPERATION AND REAL-TIME VISUALIZATION, AND 5) PERFORM SYSTEM INTEGRATION AND CONDUCT FIELD TESTS AND DEMONSTRATION OF THE INNOVATIVE IN-FIELD APPLE SORTING MACHINE PROTOTYPE IN COMMERCIAL ORCHARDS.
$617,500Michigan State University · · FY2023 · National Institute of Food and Agriculture
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE OVERALL GOAL OF THIS PROJECT IS TO DEVELOP A REAL-TIME YIELD PREDICTION SYSTEM FOR STRAWBERRY PRODUCTION. THERE ARE SEVERAL MAJOR FRUIT WAVES DURING A STRAWBERRY GROWING SEASON WHEN MANY STRAWBERRIES NEED TO BE HARVESTED. THE PROBLEM IS THAT THE GROWERS DON'T ALWAYS KNOW IN ADVANCE WHEN MAJOR FRUIT WAVES COME. ONE WAY TO PREDICT MAJOR FRUIT WAVES IS TO COUNT THE CURRENT NUMBER OF FLOWERS, AND THEN THE GROWERS CAN ESTIMATE SHORT-TERM YIELD SINCE IT TAKES ABOUT 3-4 WEEKS FOR FLOWERS TO BECOME MATURE FRUIT. THUS, WE PROPOSE REAL-TIME AUTOMATED FLOWER AND FRUIT COUNTING AND CANOPY VOLUME MEASUREMENT USING MACHINE VISION AND ARTIFICIAL INTELLIGENCE (AI) INSTALLED ON COMMONLY USED SPRAYERS. STRAWBERRY GROWERS NEED TO PROVIDE FOOD RETAILERS WITH AT LEAST THREE WEEKS' NOTICE OF ANTICIPATED FRUIT VOLUME. THE PREDICTION OF STRAWBERRY YIELD UP TO A FEW WEEKS IN ADVANCE WOULD HELP THE MARKETING AND DISTRIBUTION LOGISTICS, AND INTRA-MARKET COMPETITION MINIMIZED. IN REALITY, FARMERS ESTIMATE ANTICIPATED FRUIT VOLUME BASED ON PAST SEASONS' YIELD, WHICH MAY HAVE A SIGNIFICANT BIAS. THIS PROJECT PROPOSES TO EXTEND THE PREVIOUS EFFORTS TO PREDICT STRAWBERRY YIELD USING PLANT MEASUREMENTS, STATISTICAL ANALYSIS, DISEASE PREDICTION MODELS, AND AI. ALSO, WE PROPOSE TO DEVELOP USER-FRIENDLY WEB-BASED REAL-TIME PROCESSING SOFTWARE TO VISUALIZE FLOWER AND FRUIT DISTRIBUTION AND CREATE PREDICTED YIELD MAPS FOR GROWERS. WE WILL EXPLORE THE POSSIBILITY OF INTEGRATING THIS TECHNOLOGY IN A MECHANICAL STRAWBERRY HARVESTER.
$617,420University Of Florida · · FY2023 · National Institute of Food and Agriculture
AXON: Axonal biomechaniX to unveil injury mechanisms in glaucomatous Optic Neuropathy
$617,201Michael Girard · Emory University · R01 · FY2025 · EY
The linkage between Race, Kaiso and the tumor microenvironment in breast cancer health disparities
$617,044Kevin L. Gardner · Columbia University Health Sciences · R01 · FY2021 · CA
A mixed-methods study of the nature, extent and consequences of artificial intelligence (AI) for individualized treatment planning in end-of-life and palliative care (EOLPC)
$616,964Matthew Wayne Decamp · University Of Colorado Denver · R01 · FY2025 · NR
AI driven acute renal replacement therapy - (AID-ART)
$616,773Raghavan Murugan · University Of Pittsburgh At Pittsburgh · R01 · FY2023 · DK
Applying pathomics to establish a biosignature for aggressive skin melanoma
$616,736Yvonne Margaret Saenger · Albert Einstein College Of Medicine · R01 · FY2023 · CA
PRECEDE II Presurgical Cognitive Evaluation Via Digital Clockface Drawing Focusing on Disparities
$616,707Catherine E Price · University Of Florida · R56 · FY2025 · AG
Cell Morphology-guided, Scalable and Controllable Molecule Design via Generative AI
$616,523Yanjun Li · University Of Florida · R21 · FY2025 · EB
Thought disorder and social cognition in clinical risk states for schizophrenia
$616,434Cheryl Mary Corcoran · Icahn School Of Medicine At Mount Sinai · R01 · FY2018 · MH
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
$616,363Kathleen M Giacomini · University Of California, San Francisco · U01 · FY2024 · FD
BID Core
$616,238Alison Meredith Buttenheim · University Of Pennsylvania · P30 · FY2024 · AG
Developing purinergic receptor inverse agonists for treating triple negative breast cancer
$616,071Jean X Jiang · University Of Texas Hlth Science Center · R01 · FY2025 · CA
Delaware Clinical and Translational Research ACCEL Program (BERD Core)
$616,007Claudine T Jurkovitz · University Of Delaware · U54 · FY2025 · GM
Motion-Resolved, Comprehensive Quantitative Tissue Characterization Using MR Multitasking
$616,003Debiao Li · Cedars-Sinai Medical Center · R01 · FY2021 · EB
CAREER: Modeling Group Human-Robot Interactions: Towards A Unified Data-Driven Perspective
$616,000Marynel Vazquez · Yale University · · FY2022 · CSE
CAREER: Making Smart Hospital Rooms Useful
$616,000Jason Wiese · University Of Utah · · FY2022 · CSE
Robust Multi-Robot Path Planning and Execution on a Large Scale
$616,000Jiaoyang Li · Carnegie Mellon University · · FY2023 · CSE
III: Small: Intelligent Scientific Text Analytics with Knowledge-Augmented Abductive Reasoning
$615,962Meng Jiang · University Of Notre Dame · · FY2023 · CSE
TJU-JNMC Global Network for Women's and Children's Health Research Unit
$615,958Richard J Derman · Thomas Jefferson University · UG1 · FY2023 · HD
CAREER: Advancing Autonomy for Soft Tissue Robotic Surgery and Interventions
$615,936Axel Krieger · Johns Hopkins University · · FY2022 · ENG
Collaborative Research: RI: Medium: Multilingual Long-form QA with Retrieval-Augmented Language Models
$615,658Eunsol Choi · New York University · · FY2024 · CSE
Adversarially Based Virtual CT Workflow for Evaluation of AI in Medical Imaging
$615,638Ge Wang · Rensselaer Polytechnic Institute · R01 · FY2023 · EB
Optimizing Genetic Testing for Deafness for Clinical Diagnostics
$615,513Richard J Smith · University Of Iowa · R01 · FY2024 · DC
Optimizing Genetic Testing for Deafness for Clinical Diagnostics
$615,513Richard J Smith · University Of Iowa · R01 · FY2022 · DC