News

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]

Congratulations to Mastere student Chenghao Lu for his new publication "Maize plant detection using UAV-based RGB imaging and YOLOv5" in Front. Plant Sci., Volume 14 - 2023, doi.org/10.3389/fpls.2023.1274813. This paper describes how RGB images taken by unmanned aerial vehicles (UAVs) can be used… [weiterlesen]

Congratulations to PhD student Moritz Camenzind for his new publication "Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering" in Frontiers in Plant Science 14, 1214931; doi.org/10.3389/fpls.2023.1214931 This paper shows… [weiterlesen]

Congratulations to Emmanuel for his new publication "Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models" in Remote Sensing. This paper shows that deploying a trained lightweight deep learning model, such as YOLO, allows for detection of… [weiterlesen]

Congratulations to Irsa (external Phd student at CAU) for publishing the article "Detection of combined frost and drought stress in wheat using hyperspectral and chlorophyll fluorescence imaging" in Environmental Technology & Innovation. Check the Link with open access:… [weiterlesen]

Congratulations to Haibo for publishing the article "Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring" in Field Crops Research. Check the Share Link for 50 days' free access: authors.elsevier.com/c/1gXr01M2tVVHSo [weiterlesen]

Congratulations to Ali for publishing the article "OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations" in Remote Sensing of Environment. 50 days' free access Link: authors.elsevier.com/a/1gOzJ7qzSxcVp [weiterlesen]