Integrating Metabolomics and Digital Tools to Valorise Aromatic Ecotypes in Sustainable Agriculture

Global challenges such as climate change, resource depletion, and population growth are reshaping agricultural priorities toward sustainability and efficiency. Within this framework, metabolomics has emerged as a powerful analytical platform for exploring plant biochemical diversity, resilience, and adaptation. This review highlights the integration of metabolomics with digital technologies, such as big data and bioinformatics, under the “Agriculture 4.0” paradigm to enhance the valorization of aromatic ecotypes. By combining NMR and LC-MS profiling with advanced statistical and machine learning tools, metabolomics enables the identification of biomarkers linked to geographic origin, stress response, and nutritional potential. Moreover, the development of specialized databases, such as the sesquiterpenoid platform, facilitates data sharing and accelerates the discovery of bioactive compounds. The integration of metabolomics and digital innovation thus represents a cornerstone for next-generation, data-driven sustainable agriculture.