To improve the soil water removal efficiency of drained farmland, and thereby increase crop yields, new drain lines are often installed between pre-existing drain lines. This requires accurate maps of the drainage pipe that is already in place.
Advancements like nutrient monitoring and early disease detection are only possible using precise, repeatable measurements. To generate such measurements, a multispectral camera must be a "narrow band" camera.
Thermal imagery is a game of correlation: we use long-wave infrared radiation to give us insights on the temperature profile of the field, but we can also make correlations to other weather-sensitive metrics such as grain moisture and anaerobic zones.
Growers know their crop and the pitfalls that diminish yield quality and quantity. Walking the field garners valuable information, but not all problems are visible to the naked eye, especially during early stages of a pest infestation, disease onset, or nutrient deficiency.
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.