###### Abstract
These proposed solutions would be in line with the EU's 'Farm to Fork Strategy' of promoting more sustainable agriculture, reducing GHG emissions, and reducing the use of pesticides and chemical fertilizers, with an integrated approach in the circular economy [14]. The generation of organo-mineral pelletized products as alternatives to conventional fertilizers is essential, both to ensure food production and to adapt to climate change. Remote sensing is a key tool for monitoring wheat crops, providing essential parameters such as fCover, yield prediction using optical signals, and biophysical models [21; 22; 23; 24]. It allows for continuous monitoring throughout the growing season, from early to late stages, providing timely information critical for decision making [25; 26; 27]. By analyzing remote sensing data, farmers and agricultural managers can make informed decisions about interventions such as irrigation, fertilization, and pest control [28; 29]. Several studies have demonstrated the utility of freely and commercially available satellite data for field-scale monitoring. For example, Sentinel-2, with its high-resolution imagery and frequent revisit time, is often used to assess vegetation indices and estimate yield at the field level [30; 31; 32]. With a daily revisit and a spatial resolution of 3.7 m, PlanetScope data from Planet SuperDove satellites provide even more detailed insights, making them particularly useful for in-field studies and applications involving smallholder farmers [33; 34]. Despite these advances, there remains a gap in the literature regarding the use of PlanetScope data for experimental-scale analysis, even though its daily, high-resolution imagery has significant potential to improve crop management strategies, the monitoring of biophysical variables, and yield prediction. Unmanned aerial vehicles (UAVs) complement these data sources by capturing high-resolution imagery for experimental-scale analyses, allowing the detailed examination of specific plots or experimental setups [35; 36]. Further exploration of this area could lead to optimized crop management and improved agricultural outcomes. Sustainable agriculture increasingly requires innovative tools to monitor crops and optimize management practices. Remote sensing technologies, with their ability to capture detailed phenological and biophysical information, offer valuable insights into crop performance, particularly under varied fertilization regimes. This study hypothesizes that high spatial and temporal resolution remote sensing tools, such as PlanetScope satellite imagery and UAV-based multispectral data, can effectively monitor key parameters of winter wheat at the parcel scale, while capturing the effects of sustainable fertilization practices under Mediterranean conditions. The main objective is to evaluate the feasibility of using these tools for monitoring small plots of winter wheat under Mediterranean conditions, specifically, determining how PlanetScope's high-resolution imagery can retrieve land surface phenology and key biophysical parameters of the crop. Additionally, the research investigates the prediction of crop yield and protein content using remote sensing data and evaluates the performance of these predictions under different treatments of organic-mineral fertilizer pellets. By leveraging the complementary strengths of these technologies, this study aims to enhance precision and sustainability in crop management practices.