Sensors, AI, and data analysis for agriculture

The digitalization of agriculture is based on the integration of state-of-the-art sensors, artificial intelligence, and spectral image processing. These technologies enable precise data collection on plants, soils, and environmental factors, allowing well-informed decisions to be made. Projects such as AGATA and Datenfabrik.NRW illustrate how data can be processed and analyzed in real time to maximize the efficiency of agricultural processes. Hyperspectral image processing in particular opens up new possibilities, for example in the detection of disease patterns or the optimization of harvesting processes.