The increasing need for efficient crop monitoring and management in agriculture has driven the adoption of precision farming techniques, such as the use of vegetation indices. Among these, the Normalized Difference Vegetation Index (NDVI) has gained widespread recognition for its ability to assess crop health and predict yield outcomes. This study focuses on the relationship between NDVI values and wheat yield in the Dobrogea region, an area characterized by its dry climate and variable precipitation patterns. By utilizing satellite imagery collected at multiple stages of the crop growth cycle, we aim to evaluate the effectiveness of NDVI in predicting wheat yield and identifying areas of crop stress. Data collected over several agricultural seasons (2019-2023) were analyzed to examine the correlation between NDVI values from key growth stages and the corresponding wheat yield. The results indicate a significant positive correlation between NDVI during the late vegetative stages and yield outcomes. Additionally, NDVI proved to be a reliable indicator for assessing crop performance in response to varying precipitation levels. This study provides valuable insights into the application of NDVI as a practical tool for precision agriculture in arid and semi-arid regions. Our findings suggest that NDVI-based monitoring can enhance decision-making processes related to irrigation, fertilization, and harvesting, ultimately leading to more sustainable farming practices.

NDVI, Vegetation Indices, Wheat Yield, Precision Agriculture, Crop Monitoring, Satellite Imagery, Dobrogea Region, Semi-Arid Regions

agronomy

Presentation: poster