102125TuberZone – Development of an innovative spatial crop model and decision support system for improved potato agronomyClosedBEIS-Funded ProgrammesInnovate UKThe potato industry has witnessed a 10-year long yield stagnation; coupled with increasingly stringent demands on potato quality, there is a compelling need for farmers to increase marketable yield. This project aims to develop an innovative spatial crop model & integrated decision support system for improved variable rate seed planting, fertiliser use & irrigation scheduling to increase productivity of the potato value chain. Converging the multi-disciplinary expertise of Soil Essentials (SE), Newcastle University (NU), Mylnefield Research Services (MRS), Grimme (GR), & McCain (MC), we will build upon the MAPP point model (Management Advisory Package for Potatoes) by taking a holistic approach & considering the spatial variability of tuber size distribution to inform a new & improved adaptive spatial meta-model. The resulting spatial decision support system is cross-sectorial & has the potential to transform in-field decision-making, not just for potato farming but also for other root & arable crops.