## 5 Conclusions  
This study demonstrates the critical role of integrating satellite and UAV remote sensing with sustainable fertilization strategies in optimizing winter wheat management under Mediterranean conditions. Fertilization had a significant impact on yield and quality, with P(MAP) + N(Urea) yielding 8618 kg ha\({}^{-1}\), outperforming other treatments. Organic-mineral fertilizers (OMFs) like P(STR + C)+N(Urea) showed performances comparable to those of inorganic options, reinforcing their potential as sustainable alternatives in high-yield agriculture while reducing environmental impacts. The PlanetScope and MicaSense models showed mixed results in monitoring both fCover and yield components. PlanetScope performed reasonably well in predicting fCover (R\({}^{2}\) = 0.68), making it a valuable tool for capturing broad trends in crop cover across large-scale farms. However, its coarser spatial resolution limited its ability to detect the finer-scale variability induced by different fertilizer treatments. In contrast, the MicaSensesensor, with its higher spatial resolution, performed better in retrieving fCover (R\({}^{2}\) = 0.82), demonstrating its potential for capturing more detailed vegetation cover changes. When it came to predicting yield components and grain quality, including protein content, starch, and hectoliter weight, PlanetScope showed moderate correlations, with R\({}^{2}\) values ranging from 0.49 to 0.56, indicating its utility for the large-scale agricultural monitoring of broad trends in crop growth and quality. Specifically, it captured starch content with an R\({}^{2}\) of 0.56 and hectoliter weight with an R\({}^{2}\) of 0.51. In contrast, the MicaSense model struggled in this area, with R\({}^{2}\) values below 0.35 for yield and other crop quality metrics, suggesting its limitations for small plot analysis in this context. These findings emphasize the strengths of PlanetScope for broader-scale agricultural monitoring while highlighting the need for the further refinement of remote sensing tools like MicaSense to better capture crop-specific outcomes. These findings underscore the importance of selecting the appropriate remote sensing tool based on the scale of analysis and precision requirements. While PlanetScope is proving effective for monitoring broad patterns at the field scale, integration with higher resolution sensors such as MicaSense or the use of advanced modelling techniques could improve prediction accuracy. This integration could improve the precision of treatment evaluation, leading to more informed agronomic decisions and promoting sustainable practices. In the context of broader agronomy, the results highlight the potential of integrating organic-mineral fertilizers into modern agricultural systems to balance productivity and sustainability. These strategies align with global sustainability goals, such as those outlined in the EU's Farm to Fork initiative, which emphasizes reducing agriculture's environmental footprint while maintaining food security. Future research should focus on further refining data fusion approaches and developing tools to address discrepancies in monitoring crop components across varying spatial and temporal scales.