CROP PRODUCTION AND DISEASE PROTECTION PRESENT GLOBAL CONCERNS IN EVERY REGION OF THE WORLD. CURRENT DIAGNOSTIC METHODS OF PLANT DISEASES ARE HEAVILY FOCUSED ON GENETIC MOLECULAR ASSAYS (E.G., PCR) OR IMMUNOLOGICAL BIOSENSORS (E.G., ANTIBODY-BASED LATERAL FLOW ASSAY OR ELISA), MOST OF WHICH ARE TIME-CONSUMING AND INVASIVE FOR SAMPLE PREPARATION, SUBJECT TO INSTABILITY OF REAGENTS, AND LACK OF AN INTEGRATED FRAMEWORK FOR ON-SITE DATA ANALYSIS AND SHARING. ON THE OTHER SIDE, THERE IS AN INCREASING NEED FOR RAPID, NONINVASIVE, YET HIGHLY COST-EFFECTIVE AND CONNECTED SENSORS WHICH CAN IDENTIFY MULTIPLE INFECTIOUS SPECIES SIMULTANEOUSLY IN THE CROP FIELD AND MONITOR DISEASE OUTBREAKS SPATIOTEMPORALLY. HERE, WE PROPOSE TO DEVELOP A TRANSFORMATIVE SMARTPHONE-BASED OPTICAL SENSING PLATFORM THAT ENABLES THE EARLY DIAGNOSIS OF PLANT DISEASES (E.G., POTATO LATE BLIGHT) CAUSED BY ASSOCIATED FUNGAL OR BACTERIAL INFECTIONS, BASED ON THE IDENTIFICATION OF CHARACTERISTIC VOLATILE ORGANIC COMPOUNDS (VOC) RELEASED FROM DIFFERENT PLANT DISEASE MODELS, USING A DISPOSABLE CHEMO-RESPONSIVE NANOPLASMONIC SENSOR ARRAY COMBINED WITH MULTIMODAL SMARTPHONE READOUT (BRIGHTFIELD + FLUORESCENCE).