Precision Agriculture

The inaugural LSE Get2Gether brought together early-career researchers across the Life Science Engineering department. PagLab was represented with three poster presentations and a group overview highlighting our mission in precision agriculture and remote sensing.

The BIGSTAR workshop successfully brought together internationally renowned scientists from across the world to discuss remote sensing technologies for global sustainable agricultural resources.

BridgIng the Gap in Space and Time - Remote Sensing Technologies for Global SustAinable Crop NutRient Management (BIGSTAR): An international workshop bringing together leading researchers to discuss how remote sensing technologies can bridge spatial and temporal gaps in crop nutrient monitoring and management, promoting sustainable data-driven agriculture. The workshop covers technological, methodological, and socio-economic aspects of precision nutrient management.

DeepSpecN combines PROSPECT-PRO simulations with Conv-Transformer models to estimate leaf nitrogen content from hyperspectral reflectance, eliminating the need for field data collection while achieving unprecedented accuracy.

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.

Developing a human-centric generative AI smart app for weed detection and species recognition in arable farming, funded by TUM ForTe Bridge-to-Innovation Grant.

Optimizing nitrogen and weed control in wheat cultivation through drone-based remote sensing and AI-driven analysis.

Nitrogen (N) is an essential nutrient that profoundly impacts crop growth, yield, and overall quality. Misapplication of N fertilizers …

Developing intelligent robotic systems for individualized crop and weed management.

Integrating biosensor technology and satellite data to optimize fertilizer application and promote sustainable farming practices.