## 3 Results
Furthermore, DMA exhibited significant negative correlations with the red edge (r), excess green (EXG), red-blue ratio index (RBRI), and inverse difference vegetation index (IKAW) and significant positive correlations with the green (g), green-red ratio index (GRRI), modified green-red index (MGRVI), and red-green-blue index (RGBVI). Stomatal conductance had a negative correlation with the G and INT indices, and a positive correlation with the g index. Additionally, stomatal conductance had negative correlations with the R, EXG, RBRI, and IKAW indices, and positive correlations with GRRI, GRVI, MGRVI, RGBVI, and GLA, all of which showed high or significant levels of correlation. In contrast, the net photosynthetic rate showed positive correlations with the b, GRRI, GRVI, and MGRVI indices and negative correlations with the EXG, GBRI, RBRI, and IKAW indices. However, the fluorescence parameters, intercellular CO2 concentration, transpiration rate, and water use efficiency did not show significant correlations with any of the digital image indices. Relationships between Digital Image Indices and Wheat Physiological Indicators at the Time of Filling and Maturing  
During the wheat filling stage (7), the correlations between the wheat physiological indicators SPAD, LAI, LAD, and DMA and each digital image index were analyzed. SPAD had a highly significant negative correlation with the EXG and CIVE indices and a highly significant positive correlation with the GRRI, GRVI, and MGRVI indices. SPAD had significant positive correlations with the g, RGBVI, and GLA indices and significant negative correlations with the R, G, and INT indices (see Figure 3a). In addition, LAI had significant negative correlations with the R, G, INT, and CIVE indices and significant positive correlations with the g and GLA indices. Conversely, the LAD showed significant negative correlations with the RBRI and IKAW indices and a significant positive correlation with the b index. Similarly, the DMA had significant negative correlations with the EXG and CIVE indices and significant positive correlations with the GRRI, GRVI, and MGRVI indices. At the wheat maturity stage (8), physiological indices, such as DMA and plant nitrogen content, were correlated with each digital image index in Figure 3b. The analysis revealed significant positive correlations between DMA and the g, GBRI, RBRI, IKAW, RGBVI, and GLA indices and significant negative correlations with the R, G, B, b, INT, and CIVE indices. No significant correlations were found between the plant nitrogen content (NC), stem and leaf nitrogen content (SLNC), stem and leaf phosphorus content (SLPC), kernel nitrogen content (KNC), kernel phosphorus content (KPC), plume nitrogen content (GNC), glume phosphorus content (GPC), number of spikes (PN), number of grains in a spike (GN), thousand kernel weight (TKW), and yield (Y) and any of the digital image indices. The stem and leaf potassium content (SLKC) had significant negative correlations with the R, G, B, and INT indices. Additionally, the seed potassium content (KKC) showed significant negative correlations with the g, GBRI, RGBVI, and GLA indices but significant positive correlations with the b and CIVE indices. Furthermore, the plumes' potassium content (GKC) showed significant positive correlations with the g, GBRI, GRVI, MGRVI, RGBVI, and GLA indices but significant negative correlations with the EXG and CIVE indices.