In a world grappling with complex global challenges such as population growth, climate change, and environmental degradation,

ensuring security, sustainability, and food safety is paramount. Agricultural practices and food production processes are integral to

public health, economic stability, and societal well-being. However, conventional approaches have often operated in isolation,

limiting our understanding and hindering scalability. The WHEATWATCHER initiative seeks to break these barriers by uniting soil

health monitoring, plant health assessment, and food traceability through a cutting-edge digital soil monitoring system. This system

assesses soil nutrition, chemical, and biological factors impacting wheat grains from field growth to flour production, spanning

multiple European regions. By actively involving stakeholders, including farmers, mill proprietors, and policymakers, WHEATWATCHER

tailors its solution to practical needs. It leverages diverse sensor technologies, advanced machine learning models, and automated

mapping techniques to boost efficiency and scalability. A Decision Support System and cloud platform ensure accessible insights. At

its core, a machine learning model seamlessly integrates technologies, creating a cohesive solution that bridges the gaps between

soil health, plant health, and food traceability. WHEATWATCHER aims to foster harmony between sensing technologies, data

processing, and stakeholder engagement, revolutionizing comprehensive monitoring.