POTENTIAL: Precision Optimisation Tools for Enhanced NutriTIonal and Agronomic Lifecycle

The  Precision Optimisation Tools for Enhanced NutriTIonal and Agronomic Lifecycle (POTENTIAL) project builds upon and advances previously funded activities in precision agriculture and digital tools for sustainable farming. Unlike prior initiatives that focused primarily on post-harvest quality assessments or region-specific yield optimisation, POTENTIAL introduces a comprehensive, early-stage, and multi-dimensional approach to predict and enhance both yield and quality of potatoes from seeding onwards. This project leverages advanced AI, IoT-enabled soil and crop sensors, and real-time remote sensing data to integrate diverse data sources into a predictive platform tailored for field-level decision-making.

Where earlier projects may have focused on isolated aspects, such as soil monitoring or yield mapping, POTENTIAL combines these with near-infrared (NIR) spectroscopy for in-soil quality assessments, phenological data through AI4Pheno, and collaborations with EIP-Agri groups. This synthesis of advanced monitoring, multi-source data integration, and predictive modelling provides potato farmers with a robust, actionable tool—positioning POTENTIAL as a unique, scalable solution for early intervention and precision optimisation in agriculture.

Project partners: Gesk Technologies, Besler, Phasegrowth, Pomeranian University in Słupsk, and Poznań University of Life Sciences.