With advancements in satellite technology, imagery can be taken from peak biomass to create a zone map based on how the crop performs out in the field. These maps generally look very close to how the yield map will look after harvest.
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.