Implementation methodology

In order to make valid and timely rational management decisions, modern techniques of merging and assimilating agrometeorological, soil, remote sensing data will be adapted and applied. For this purpose, an innovative production monitoring and forecasting model (Falagas & Karantzalos, 2019) will be adopted at a high spatial resolution with a simultaneous assessment of the need and consumption of water (Rozenstein, et al., 2018) based on the calculation of the relative coefficient of of cotton crop (Kc) and evapotranspiration (Et) from remote sensing data.

Knowledge-based models and machine learning techniques will indicate on a daily and weekly basis best practices and quality characteristics. The pilot applications will be implemented for 2 years in Larissa and Central Macedonia (areas with over 350 thousand acres of cotton, while the results will be disseminated at the national level.

The project is implemented in more than one region, in order to validate the conclusions of the pilot applications as the differences in climatic, soil and cultivation factors are important.