20.500.12556/RUL-177173 A decision support system (DSS) for irrigation oversizing diagnosis using geospatial canopy data and irrigation ecolabels Agriculture faces growing pressure to optimize water use, particularly in woody perennial crops where irrigation systems are installed once and seldom redesigned despite changes in canopy structure, soil conditions, or plant mortality. Such static layouts may accumulate inefficiencies over time. This study introduces a decision support system (DSS) that evaluates the hydraulic adequacy of existing irrigation systems using two new concepts: the Resource Overutilization Ratio (ROR) and the Irrigation Ecolabel. The ROR quantifies the deviation between the actual discharge of an installed irrigation network and the theoretical discharge required from crop water needs and user-defined scheduling assumptions, while the ecolabel translates this value into an intuitive A+++–D scale inspired by EU energy labels. Crop water demand was estimated using the FAO-56 Penman–Monteith method and adjusted using canopy cover derived from UAV-based canopy height models. A vineyard case study in Galicia (Spain) serves an example to illustrate the potential of the DSS. Firstly, using a fixed canopy cover, the FAO-based workflow indicated moderate oversizing, whereas secondly, UAV-derived canopy measurements revealed substantially higher oversizing, highlighting the limitations of non-spatial or user-estimated canopy inputs. This contrast (A+ vs. D rating) illustrates the diagnostic value of integrating high-resolution geospatial information when canopy variability is present. The DSS, released as open-source software, provides a transparent and reproducible framework to help farmers, irrigation managers, and policymakers assess whether existing drip systems are hydraulically oversized and to benchmark system performance across fields or management scenarios. Rather than serving as an irrigation scheduler, the DSS functions as a standardized diagnostic tool for identifying oversizing and supporting more efficient use of water, energy, and materials in perennial cropping systems. irrigation efficiency precision agriculture water use efficiency FAO-56 framework crop water requirements evapotranspiration modelling remote sensing UAV spatial irrigation diagnostics crop coefficient učinkovitost namakanja precizno kmetijstvo učinkovitost rabe vode okvir FAO-56 vodne potrebe poljščin modeliranje evapotranspiracije daljinsko zaznavanje brezpilotni letalniki prostorska diagnostika namakanja koeficient pridelka true false true Angleški jezik Slovenski jezik Članek v reviji 2025-12-17 10:52:41 2025-12-17 10:52:51 2025-12-28 04:08:25 0000-00-00 00:00:00 2025 0 0 22 str. issue 12, art. 429 Vol. 7 Dec. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 528.837:629.73 2624-7402 10.3390/agriengineering7120429 261811203 Velez...-A_Decision_Support_System_(DSS)_for_Irrigation_Oversizing_Diagnosis_Using_Geospatial_Canopy_Data_and_Irrigation_Ecolabels.pdf Velez...-A_Decision_Support_System_(DSS)_for_Irrigation_Oversizing_Diagnosis_Using_Geospatial_Canopy_Data_and_Irrigation_Ecolabels.pdf 1 E265E8029C5291D0F0241C92E37D1B3A 34a03b571913b5519f45ec7de7f3391dfb4d8aa4a208e50be25b88df65e2c1e2 e3be2dee-db2d-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=224069 https://www.mdpi.com/2624-7402/7/12/429 1 b6c2a070-db2d-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=224068 Fakulteta za gradbeništvo in geodezijo 0 0 0