News

Congratulations to Falv, Jingcheng and collaborators for the joint effort for the publication “Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing”. Precision Agriculture 26: 40.… [weiterlesen]

Congratulations to Yuzhe on the new publication “NTRI: A novel spectral index for developing a precise nitrogen diagnosis model across pre- and post-anthesis stages of maize plants”. Link to paper [weiterlesen]

Congratulations to Haibo on the new paper “Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset”. Link to paper. This work highlights the use of a hybrid dataset, ie., radiative transfer model simulation and experimental data, in training machine… [weiterlesen]

Congratulations to Xiaokai on the new publication “Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information with machine learning” in Computers and Electronics in Agriculture. Link:… [weiterlesen]

In a new publication led by Dr. Chi and KU Leuven collaborators, we showed that Improved classification of urban tree species can be achieved by integrating airborne hyperspectral and LiDAR data with a context-specific modelling approach.  Article link:… [weiterlesen]

Congratulations to our visiting PhD student Yuzhe on the publication of the paper “Exploring the Optimal Wavelet Function and Wavelet Feature for Estimating Maize Leaf Chlorophyll Content” in IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2024.3513233 [weiterlesen]

Congratulations to Shuai Yang, a joint PhD student at the China Agricultural University (CAU) and TUM Precision Agriculture LAB, as well as to our collaborators Prof. Daoliang Li's team on the new review paper  “Application of unmanned aerial vehicle optical remote sensing in crop nitrogen… [weiterlesen]

Congratulations to David, a joint PhD student at the TUM Precision Agriculture Lab and Chair of Remote Sensing Technology, on his publication “Approaching holistic crop type mapping in Europe through winter vegetation classification and the Hierarchical Crop and Agriculture Taxonomy”.  Check out… [weiterlesen]

Congratulations to Jingcheng, a PhD student at TUM Precision Agriculture Lab, on the publication of a review paper on "Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency"!  Check out the link below to access the paper and learn… [weiterlesen]

Recent work in collaboration with Prof Li's group on satellite mapping of crop traits has led to a new publication. Yin, H.; Li, F.; Yang, H.; Di, Y.; Hu, Y.; Yu, K. Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models.… [weiterlesen]