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48,453 grants matching “machine learning”
IT HAS BEEN PREDICTED THAT THE WORLD POPULATION WILL REACH 10 BILLION PEOPLE BY 2050, DEMANDING CRITICAL IMPROVEMENTS OF TODAY'S AGRICULTURAL SYSTEMS. THIS PROPOSAL ADDRESSES SEVERAL NOVEL TECHNIQUES THAT MAY EXTEND TO A RANGE OF FRUIT, BUT THE FOCUS WILL BE ON VITICULTURE FOR EASE OF ACCESS. THERE ARE 1,392 GRAPE FARMS IN NEW YORK STATE ALONE WITH 39,216 ACRES OF VINEYARDS, GENERATING MORE THAN $4.8 BILLION IN ANNUAL REVENUE. THESE PRODUCERS DEPEND ON PREDICTIONS OF HOW MUCH FRUIT IS COMING IN FROM THE VINEYARD TO PREDICT REVENUE AND ALLOCATE RESOURCES SUCH AS HARVEST AND WINERY LABOR, TANK SPACE, BOTTLES, AND OTHER REQUIRED SHIPPING-CAPABLE PACKAGING. IMPROVED METHODS FOR SENSING AND PROCESSING DATA IN THE FIELD WILL LEAD TO MORE ACCURATE YIELD PREDICTIONS WELL AHEAD OF THE HARVEST, WITHOUT ADDED LABOR COST. SUCH SYSTEMS MAY FURTHER PERMIT MORE TARGETED APPLICATION OF FERTILIZERS AND PESTICIDES REDUCING COST AND ENVIRONMENTAL IMPACT.STATE-OF-THE-ART PRECISION AGRICULTURE FOCUSES LARGELY ON AUTOMATED VISUAL ASSESSMENT OF CROPS IN THE FIELD USING HIGH-END CAMERA AND LASER RANGING SYSTEMS. HOWEVER, IN MANY SCENARIOS, INCLUDING WHEN HEAVY FOLIAGE IS PRESENT, USE OF REMOTE VISION IS NOT ADEQUATE TO DETERMINE IMPORTANT MEASURES SUCH AS CROP GROWTH, RIPENESS, AND HEALTH. THIS PROPOSAL AIMS TO AUGMENT SUCH CYBER PHYSICAL SYSTEMS THROUGH INEXPENSIVE VISON-BASED TECHNIQUES DEPLOYED BEFORE FOLIAGE BECOMES EXCESSIVE, AND THROUGH NOVEL SOFT AND TOUCH SENSITIVE TECHNOLOGIES THAT CAN OPERATE IN CLOSE PROXIMITY TO THE CROP. SPECIFICALLY, THE WORK PROPOSED INVOLVES FOUR INTEGRATIVE THRUSTS: 1) SOFT MANIPULATORS CAPABLE OF SAFELY OBTAINING CLOSE-RANGE DATA ON THE FRUIT, 2) A SOFT, POROUS VEIL WITH INTEGRATED ULTRASONIC TRANSDUCERS FOR DETECTION OF MICROBES AND FRUIT RIPENESS, 3) USE OF LOW-END CAMERAS AND MACHINE LEARNING TECHNIQUES FOR AUTOMATED EARLY SEASON CLUSTER COUNTING, AND 3) MODELING FRAMEWORKS TO INTERPRET DIVERSE MULTI-MODAL SENSOR INFORMATION FOR IMPROVED YIELD PREDICATION AND TARGETED PESTICIDE APPLICATION. THE FULL RANGE OF ACQUIRED DATA WILL INCLUDE CLUSTER NUMBER, VISUAL APPEARANCE, GEOMETRY, WEIGHT, TEMPERATURE, ELASTIC MODULUS, THERMAL CONDUCTIVITY, AND HUMIDITY PROCESSED INTO INFORMATION ON LEAF-AREA, BERRY COUNT, BERRY HUE, BERRY SOUNDNESS, BERRY CONTACT, SURFACE WETNESS, MICROBES, CLUSTER CLOSURE, SIZE, AND COMPACTNESS. TO DEMONSTRATE THE ADVANTAGES OF INTRODUCING THESE TECHNOLOGIES TO AGRICULTURE, THE PIS WILL DEVELOP AN INTEGRATED ROBOTIC SOLUTION FOR IMPROVED VINEYARD MANAGEMENT. TRACKING SPECIFIC CLUSTERS OVER DAYS AND WEEKS MAY SIGNIFICANTLY ENHANCE YIELD PREDICTIONS AND ADDITIONALLY EASE GATHERING OF SUBSEQUENT DATA. THESE RESEARCH EFFORTS WILL CULMINATE IN SEVERAL IN-FIELD DEMONSTRATIONS, AS WELL AS A DECISION SUPPORT SYSTEM THAT ALLOWS FARMERS TO MAKE USE OF DATA COLLECTED FROM MULTIPLE SYSTEMS IN THE FIELD. THIS WORK REPRESENTS A TRANSFORMATIVE STEP TOWARDS SUPERIOR CYBER PHYSICAL SYSTEMS FOR AGRICULTURE, THROUGH THE COMBINED USE OF REAL-TIME QUANTITATIVE GLOBAL- AND QUALITATIVE LOCAL DATA.
$1,191,236Cornell University · · FY2019 · National Institute of Food and Agriculture
Biomarkers to Predict Outcome from Responsive Brain Stimulation for Epilepsy
$1,191,184Kathryn Adamiak Davis · University Of Pennsylvania · R61 · FY2024 · NS
MACHINE LEARNING METHODS TO INDIVIDUALIZE POWERED ORTHOTIC INTERVENTION FOR IMPROVED FUNCTIONAL RECOVERY AFTER LOWER EXTREMITY TRAUMA
$1,191,127The Trustees Of The Stevens Institute Of Technology · · FY2022 · Defense Health Agency
CNS Core:Medium:Systems Challenges in Scaling Distributed Intelligent Applications
$1,190,975Junchen Jiang · University Of Chicago · · FY2019 · CSE
A Novel Device for Rapid and Noninvasive Volatile Metabolite-based Screening and Diagnosis of Multiple Disease States
$1,190,094Sophia Koo · Brigham And Women'S Hospital · U01 · FY2025 · TR
Strengthening community knowledge bases for genetic association studies and polygenic scores, the GWAS and PGS Catalogs
$1,190,074Helen Elizabeth Parkinson · European Molecular Biology Laboratory · U24 · FY2022 · HG
CRCNS Research Proposal: Learning by Looking: Modeling visual system representation formation via foveated sensing in a 3-D world
$1,189,997Talia Konkle · Harvard University · · FY2023 · CSE
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 Carriers
$1,189,957Morgan Elyse Levine · Yale University · R01 · FY2017 · AG
Statistical Methods for Differential Network Biology with Applications to Aging
$1,188,872Ali Shojaie · University Of Washington · · FY2016 · MPS
Proteins From Hereditary Eye Diseases: In silico and Experimental Studies
$1,188,023Yuri Sergeev · National Eye Institute · ZIA · FY2025 · EY
FuSe2 Topic 1: Bridging Atomic Layers and Foundation Models: An Indium-Oxide-Based Versatile Neural Computing Platform
$1,187,849Haitong Li · Purdue University · · FY2024 · CSE
MRI: Acquisition of Cutting-Edge GPU and MPI Nodes for the Interdisciplinary Pitt Center for Research Computing
$1,187,606Geoffrey R Hutchison · University Of Pittsburgh · · FY2021 · CSE
Mid-Level Vision Systems for Low Vision
$1,187,062Norberto M Grzywacz · University Of Southern California · R01 · FY2009 · EY
Epigenome Interactions in Complex Neurogenetic Disorders
$1,186,731Margaret Elizabeth Ross · Weill Medical Coll Of Cornell Univ · R01 · FY2011 · NS
Smartphone phenotype collection for diagnostic screening of mild cognitive impairment
$1,186,625Steven L Armentrout · Parabon Nanolabs, Inc. · R44 · FY2021 · AG
Uncovering the Human Secretome
$1,186,500David A. Sinclair · Harvard Medical School · DP1 · FY2017 · AG
Uncovering the Human Secretome
$1,186,500David A. Sinclair · Harvard Medical School · DP1 · FY2018 · AG
Uncovering the Human Secretome
$1,186,500David A. Sinclair · Harvard Medical School · DP1 · FY2021 · AG
Uncovering the Human Secretome
$1,186,500David A. Sinclair · Harvard Medical School · DP1 · FY2019 · AG
Uncovering the Human Secretome
$1,186,500David A. Sinclair · Harvard Medical School · DP1 · FY2020 · AG
HDR DSC: Engaging Undergraduates in Data and Decisions Research at the Engineering/Biology Interface
$1,186,084David G Schmale · Virginia Polytechnic Institute And State University · · FY2019 · CSE
Tools4Cells: Machine-learning aided morphodynamics characterization of stem cell differentiation using label-free microscopies
$1,185,910Jianhua Xing · University Of Pittsburgh · · FY2022 · BIO
Defining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomics
$1,185,800Hao Wu · University Of Pennsylvania · U01 · FY2024 · HG
Defining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomics
$1,185,799Hao Wu · University Of Pennsylvania · U01 · FY2025 · HG
A Systems Approach to the NPK Nutriome and its Effect on Biomass
$1,185,284Gloria M Coruzzi · New York University · · FY2012 · BIO