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Keywords: remote sensing; high-throughput field phenotyping; unmanned aerial vehicles (UAVs); multi-sensor synergies; open-data standards; vegetation traits; radiative transfer models (RTM); smart farming EN remote sensing high-throughput field phenotyping unmanned aerial vehicles (UAVs) multi-sensor synergies open-data standards vegetation traits radiative transfer models (RTM) smart farming 1 7 7 10/29/21 20211022 NES 211022 Introduction Sustainable and resilient agriculture with a low impact on the environment is pivotal to ensure food security for a growing global population. Better estimating the plant N by combining information on plant physiology from plant phenotyping with new hyperspectral sensors giving a near-real-time estimation can provide input for optimized management strategies to reduce N applications and thus protect the water resources. Bridging the Gap Between Remote Sensing and Plant Phenotyping - Challenges and Opportunities for the Next Generation of Sustainable Agriculture Remote sensing, high-throughput field phenotyping, unmanned aerial vehicles (UAVs), multi-sensor synergies, radiative transfer models (RTM), open-data standards, vegetation traits, smart farming. [Extracted from the article]