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48,453 grants matching “machine learning”
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** PRECISION MANAGEMENT OF AGRICULTURAL INPUTS, SUCH AS FRESH WATER, IS CRUCIAL TO SUSTAINABLY MEET INCREASING FOOD PRODUCTION NEEDS. HOWEVER, AUTOMATED SYSTEMS TYPICALLY REQUIRE A POWERED INFRASTRUCTURE (EITHER WIRED OR USING RECHARGEABLE BATTERIES) TO BE INSTALLED AND MAINTAINED WHICH PRESENTS A BARRIER TO WIDESPREAD IMPLEMENTATION. THIS PROJECT AIMS TO FLIP THIS PARADIGM FOR PRECISION SENSING IN AGRICULTURE BY DEVELOPING AN AUTOMATED SOIL-MOISTURE MONITORING SYSTEM THAT CONSISTS OF AUTONOMOUS MOBILE ROBOTS, BOTH UNMANNED AERIAL VEHICLES (UAVS) AND QUADRUPED GROUND ROBOTS, AND BURIED PASSIVE SOIL SENSORS FOR MONITORING SOIL MOISTURE LEVEL. IMPORTANTLY, THE SENSORS REQUIRE NO POWER SOURCE, ARE COMPLETELY UNDERGROUND, AND CAN STAY BURIED IN THE FIELD FOR YEARS AT A TIME. THE MOBILE ROBOTS WILL AUTONOMOUSLY NAVIGATE TO SENSORS, COLLECT DATA TO PRODUCE A SOIL MOISTURE MAP OF THE FIELD, AND RETURN TO RECHARGE THEMSELVES. IN THE FUTURE, THIS MOBILE ROBOTIC PLATFORM CAN BE EXTENDED FOR OTHER SOIL SENSORS (E.G., NUTRIENTS AND ORGANIC CARBON) AND AGRICULTURAL TASKS SUCH AS APPLICATION OF HERBICIDES AND PESTICIDES.OUR PRIMARY OBJECTIVE IS TO DEVELOP AND DEMONSTRATE A ROBOTIC-SENSOR SYSTEM FOR PRECISION IRRIGATION MANAGEMENT. THIS OBJECTIVE BUILDS UPON PRIOR RESEARCH INVESTIGATING WIRELESSLY POWERED SOIL MOISTURE SENSORS. THE SPECIFIC OBJECTIVES FOR THIS PROJECT ARE: 1) DESIGN, SIMULATE, AND CHARACTERIZE THE PASSIVE SOIL MOISTURE SENSING COILS. 2) DEVELOP MACHINE-LEARNING MOTION PLANNING, NAVIGATION, AND LOCALIZATION METHODS FOR THE MOBILE ROBOTS TO AUTONOMOUSLY NAVIGATE TO THE BURIED SENSORS AND LOCALIZE THEM WITH SUFFICIENT PRECISION TO EFFICIENTLY OBTAIN A SOIL MOISTURE MEASUREMENT. 3) DEVELOP A SOIL MOISTURE MAPPING METHOD UTILIZING MULTIPLE INPUTS THAT CAN PROVIDE AN ACCURATE AND SPATIALLY DENSE MAP OF SOIL WATER DEPLETION.THE PASSIVE SOIL MOISTURE SENSORS MAKE USE OF THE RELATIONSHIP BETWEEN SOIL MOISTURE AND THE ELECTRICAL PROPERTIES, CHIEFLY PERMITTIVITY, OF THE SOIL. THE PROPOSED SENSORS WILL CONSIST OF OMNIDIRECTIONAL COILS THAT HAVE A PASSIVE SELF-RESONANCE FREQUENCY. THIS FREQUENCY CHANGES AS A FUNCTION OF SOIL MOISTURE. THE CHANGE IN SELF-RESONANCE FREQUENCY CAN BE READ FROM THE ABOVE GROUND MOBILE ROBOTS (WITHOUT PHYSICALLY CONTACTING THE SENSOR). IMPORTANTLY, THE SENSORS REQUIRE NO ONBOARD POWER, ARE MECHANICALLY ROBUST, AND ARE INDEPENDENT OF ORIENTATION. TO COLLECT SOIL MOISTURE DATA, THE MOBILE ROBOTS MUST BE ABLE TO LOCATE THE BURIED SENSORS WITH SUFFICIENT PRECISION. FIRST, THE ROBOTS WILL USE ONBOARD GPS AND A MAP OF SENSOR LOCATION TO GET RELATIVELY CLOSE TO THE SENSOR, BUT NOT CLOSE ENOUGH TO COLLECT DATA. NEXT, THE FINAL LOCALIZATION STAGE WILL MAKE USE OF THE ELECTROMAGNETIC COUPLING BETWEEN A COIL MOUNTED TO A 3D ROBOTIC ARM ON THE UAV OR QUADRUPED ROBOT AND THE BURIED SENSOR. THIS COUPLING SIGNAL AND SENSOR MODELS WILL BE PROCESSED BY A MACHINE LEARNING ALGORITHM (BAYESIAN ESTIMATOR) TO HOME IN ON THE LOCATION OF THE BURIED SENSOR.,THE LOCALIZATION PHASE WILL ALSO EXPLOIT INFORMATION-THEORETIC MOTION PLANNING TO CONTROL THE MOTION OF THE ROBOTIC ARM TO PRECISELY LOCATE THE SENSOR AND COLLECT SOIL MOISTURE MEASUREMENTS. THESE MEASUREMENTS WILL THEN BE USED TO PRODUCE A SPATIALLY AND TEMPORARILY DENSE MAP OF SOIL WATER DEPLETION (SWD) WHICH COULD BE USED TO INFORM AN AUTOMATED IRRIGATION MANAGEMENT SYSTEM. THE SENSORS WILL DIRECTLY MEASURE VOLUMETRIC WATER CONTENT WHICH WILL THEN BE CONVERTED TO SWD. THE MEASUREMENTS ARE SUBJECT TO SEVERAL SOURCES OF UNCERTAINTY RELATED TO SENSOR DEPTH, POTENTIAL SENSOR DAMAGE, SOIL TYPE (I.E., SENSORS WILL NOT UNDERGO FIELD-SPECIFIC CALIBRATIONS), AND SLOW SENSOR DRIFT. TO ACCOUNT FOR THESE SOURCES OF UNCERTAINTY, WE WILL FURTHER EXPLOIT MACHINE LEARNING THROUGH BAYESIAN INFERENCE. FIRST, WE WILL QUANTIFY THE APPROXIMATE LEVELS OF UNCERTAINTY THROUGH BASIC EXPERIMENTS. THE UNCERTAINTY VALUES WILL BE USED TO CREATE A PRIOR DISTRIBUTION, WHICH WILL THEN BE USED TO UPDATE THE BAYESIAN FILTER. THE FILTER WILL PRODUCE A BEST GUESS AT THE SWD AT A PARTICULAR LOCATION ALONG WITH A LIKELIHOOD VALUE. THE FINAL SYSTEM, INCLUDING SOIL MOISTURE SENSORS, ABOVE-GROUND UAVS AND QUADRUPED ROBOTS, AND SOIL MOISTURE MAPPING WILL BE VALIDATED IN FIELD TESTS OVER ONE GROWING SEASON.
$601,248University Of Utah · · FY2024 · National Institute of Food and Agriculture
Development of an Integrated Risk Prediction Model of Taxane-induced Peripheral Neuropathy
$601,172Daniel Louis Hertz · University Of Michigan At Ann Arbor · R37 · FY2023 · CA
Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid Overdose
$601,139Walid F. Gellad · University Of Pittsburgh At Pittsburgh · R01 · FY2017 · DA
Systems-level identification of host determinants of patient outcomes in Lassa fever and Ebola
$601,080Robert F Garry · Scripps Research Institute, The · U19 · FY2020 · AI
ChemMine Tools: an Open Source Framework for Chemical Genomics
$601,032Thomas Girke · University Of California-Riverside · · FY2010 · BIO
Decoding parametric attributes of auditory working memories from human brain activity
$601,029Jyrki Ahveninen · Massachusetts General Hospital · R01 · FY2019 · DC
Decoding parametric attributes of auditory working memories from human brain activity
$601,029Jyrki Ahveninen · Massachusetts General Hospital · R01 · FY2020 · DC
Biomarkers of Alcoholic Hepatitis
$600,979Gavin E Arteel · University Of Pittsburgh At Pittsburgh · R01 · FY2021 · AA
Air Pollution, Heart Failure and Atrial Fibrillation in MESA
$600,964Joel Daniel Kaufman · University Of Washington · R56 · FY2017 · ES
CAREER: Brain-Machine Interfaces for Speech
$600,932Joseph G Makin · Purdue University · · FY2024 · CSE
MRI-Derived Neuromuscular Signatures to Predict Surgical Response in Degenerative Cervical Myelopathy
$600,926Kenneth Arnold Weber · Stanford University · R01 · FY2024 · NS
Improving Cochlear Implant Outcomes Through Modeling and Programming Strategies Based on Human Inner Ear Pathology
$600,809Julie A Bierer · Massachusetts Eye And Ear Infirmary · R01 · FY2025 · DC
Applying and advancing modern approaches for studying the joint impacts of environmental chemicals on pregnancy outcomes
$600,720John D. Meeker · University Of Michigan At Ann Arbor · R01 · FY2024 · ES
Targeting Glycogen Metabolism in Ewing's Sarcoma: Diagnostic, Prognostic, and Therapeutic Applications
$600,688Ramon C. Sun · University Of Florida · R01 · FY2024 · CA
Objective Classification of Lupus Nephritis
$600,680Chandra Mohan · University Of Houston · R01 · FY2025 · DK
Research Capacity Core
$600,675Zoran Bursac · Florida International University · U54 · FY2025 · MD
Comparative-Effectiveness of Pretreatment Lung Cancer Nodal Staging
$600,635Farhood Farjah · University Of Washington · R01 · FY2023 · CA
Applying and advancing modern approaches for studying the joint impacts of environmental chemicals on pregnancy outcomes
$600,618John D. Meeker · University Of Michigan At Ann Arbor · R01 · FY2025 · ES
MR Fingerprinting for Epilepsy
$600,554Dan Ma · Case Western Reserve University · R01 · FY2022 · NS
National Consortium on Alcohol and Neurodevelopment in Adolescence: OHSU
$600,549Bonnie J Nagel · Oregon Health & Science University · U01 · FY2023 · AA
National Consortium on Alcohol and Neurodevelopment in Adolescence: OHSU
$600,546Bonnie J Nagel · Oregon Health & Science University · U01 · FY2024 · AA
Affective science and smoking cessation: Real time real world assessment
$600,514Cho Yan Lam · University Of Utah · R01 · FY2019 · CA
Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysm
$600,449Jessica Wagenseil · Washington University · R01 · FY2023 · HL
Statistical Methods for Ordinal Variables in HIV/AIDS Studies
$600,434Bryan Earl Shepherd · Vanderbilt University Medical Center · R01 · FY2025 · AI
Collaborative Research: CAIG: Physics-informed Machine Learning of Ice Calving and Sliding
$600,397Jacob Downs · University Of Montana · · FY2026 · GEO