Welcome to the PrecisionAg Lab@TUM


Since its founding in 2020, the TUM Precision Agriculture Lab has been committed to empower smart farming research, education, and practice.

Latest News

Last updated on Aug 8, 2025 1 min read Conference
Anirudh Belwalkar attended the IGARSS 2025 in Brisbane
Anirudh Belwalkar attended the IGARSS 2025 in Brisbane

Dr. Anirudh Belwalkar, postdoctoral researcher at the Precision Agriculture Lab, TUM attended the International Geoscience and Remote Sensing Symposium (IGARSS), held in Brisbane, Australia, from August 3, 2025 to August 8, 2025.

Last updated on Jul 30, 2025 1 min read Fieldwork
Wheat Hand Harvest Day 2025
Wheat Hand Harvest Day 2025

Winter Wheat Harvest Celebration at TUM’s Dürnast Experimental Station – A Milestone for the INVITE Project

Last updated on Jul 5, 2025 1 min read Conference
Lab member Ying Yuan attended the 15th European Conference on Precision Agriculture (ECPA)
Lab member Ying Yuan attended the 15th European Conference on Precision Agriculture (ECPA)

🎓 PhD student Ying Yuan from the Precision Agriculture Lab at TUM participated in the 15th European Conference on Precision Agriculture (ECPA) 🌾, held in 📍 Barcelona, Spain, from June 29 to July 3, 2025.

Last updated on Jul 1, 2025 2 min read Seminar, Conference
Successful Conclusion of the TUM–NAU Smart Agriculture Seminar 2025
Successful Conclusion of the TUM–NAU Smart Agriculture Seminar 2025

Researchers from Nanjing Agricultural University (NAU) and TUM Precision Agriculture Lab gathered for a fruitful exchange on remote sensing and data-driven methods for smart agriculture.

Last updated on Jul 16, 2025 2 min read Paper, Research Highlights
A New Global View of Vegetation Health from Space
A New Global View of Vegetation Health from Space

Our lab has developed the world’s first global dataset of canopy chlorophyll content (CCC) using Sentinel-3 satellite observations, providing a powerful tool for monitoring vegetation health, crop conditions, and ecosystem responses to climate change.

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Latest Journal Papers

Dr. Dong Li, Holly Croft, Gregory Duveiller, Adam P. Schreiner-McGraw, Dr. Anirudh Belwalkar, Tao Cheng, Yan Zhu, Weixing Cao, Prof. Dr. Kang Yu (2025). Global retrieval of canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method integrating physical and machine learning models. Remote Sensing of Environment.

DOI

Falv Wang, Jingcheng Zhang, Wei Li, Yi Liu, Dr. Weilong Qin, Longfei Ma, Yinghua Zhang, Zhencai Sun, Zhimin Wang, Fei Li, Prof. Dr. Kang Yu (2025). Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing. Precision Agriculture.

DOI

Jie Wang, Sebastian T. Meyer, Xijie Xu, Wolfgang W. Weisser, Prof. Dr. Kang Yu (2025). Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat. Computers and Electronics in Agriculture.

DOI

Hang Yin, Dr. Haibo Yang, PD. Dr. Yuncai Hu, Fei Li, Prof. Dr. Kang Yu (2025). Drone RGB Imagery Color and Texture Information Have Varied Importance in Predicting Potato Aboveground Biomass in Different Growth Stages. Potato Research.

DOI

Dr. Haibo Yang, PD. Dr. Yuncai Hu, Hang Yin, Qingyu Jin, Fei Li, Prof. Dr. Kang Yu (2025). Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset. International Journal of Remote Sensing.

DOI

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