The TUM Precision Agriculture Lab conducts interdisciplinary research from a diversity perspective of precision agriculture (also known as precision/smart farming). We focus on studying plant-environment interactions and their control from multiple scales by applying and integrating a range of imaging, remote sensing, statistical modeling, and computational techniques. We are interested in and working on the following specific topics:

  • Developing and using proximal- and remote sensing methods to monitor crop stresses, yield, and field variability, aiming to improve resource use efficiency as well as for smart implementation of fertilization, irrigation, and disease and weed control, etc.
  • Developing high-throughput phenotyping pipelines to characterize plant phenotypic traits and trait response to the environment, aiming to better understand the genetic basis of plant-environment interaction and to facilitate the use of genetic resources for crop breeding.
  • Applying multi-scale remote sensing to characterize biodiversity in agroecosystems, aiming to provide new quantitative metrics for understanding the role of biodiversity in agroecosystems as well as how to mitigate climate change impacts on agriculture using biodiversity.