** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** PLANT HEALTH IS SIGNIFICANTLY AFFECTED BY ITS ENVIRONMENT AND SUSCEPTIBILITY TO DISEASES. CURRENTLY, PLANT DISEASE DIAGNOSIS RELIES ON LABORATORY MOLECULAR ASSAYS SUCH AS PCR, WHICH ARE LABORIOUS, INACCESSIBLE IN THE FIELD, AND DETECT INFECTIONS ONLY AFTER SYMPTOM DEVELOPS. ON THE OTHER SIDE, PLANT GROWTH AND HEALTH CAN ALSO BE GREATLY ENHANCED BY DYNAMICALLY SENSING THE ABIOTIC FACTORS (E.G., WATER AND TEMPERATURE) THAT INFLUENCE PLANT GROWTH. AS SUCH, THERE IS AN URGENT NEED TO BUILD NEW CAPACITY IN FIELD-BASED SENSORS TO MONITOR PLANT PHYSIOLOGY IN REAL TIME AND DETECT PLANT STRESSES AT THE EARLIEST STAGE. HERE,WE WILLSTUDY AND DESIGN A TRANSFORMATIVE PLANT WEARABLE SENSOR PLATFORM THAT CAN BE DEPLOYED ON-PLANT FOR CONTINUOUS AND REAL-TIME MONITORING OF BOTH BIOTIC AND ABIOTIC STRESSES OF PLANTS AND THEIR MICROENVIRONMENT (E.G., TEMPERATURE AND HUMIDITY) TO SUPPORT DIGITAL FARMING AND PRECISION AGRICULTURE DECISION MAKING.