In this study, calibrated NDVI values showed a strong correlation with the level of disease visually scouted by researchers in the field. In fact, the NDVI map was able to successfully indicate differences in barley yield between the treatments.
The Normalized Difference Vegetation Index (or NDVI) has been used for the past 40 years as the go-to method of assessing plant health. As you may know, healthy plants reflect light differently than unhealthy ones.
Artificial intelligence can be used, for example, to classify fruit varieties or to identify damaged parts (e.g. apples with marks or colour deviations). To cover all possible variances with classical image processing would be very time-consuming and costly. AI is able to solve these challenges in no time at all. With IDS NXT ocean, there is now a user-friendly complete solution for industrial applications available. It requires neither special knowledge in deep learning nor camera programming.