Doctoral Researcher in Agricultural Engineering at the University of Hohenheim
Guest Lecturer in Robotics in Agriculture and Renewable Energy and Sustainable Energy in Agriculture
I work at the intersection of agricultural engineering, plant phenotyping, computer vision, robotics, and intelligent sensing. My research develops reliable methods for extracting meaningful plant and crop traits from UAV thermal and RGB imagery, LiDAR, depth and hyperspectral data, three-dimensional measurements, and automated phenotyping systems.
- UAV thermal and RGB imaging for crop monitoring and field phenotyping
- Depth-sensor 3D phenotyping of maize morphology
- Computer vision and deep learning for plant-trait extraction
- Hyperspectral imaging for non-destructive plant diagnostics
- ROS 2, RViz, MoveIt 2, and robotic phenotyping with RGB, thermal, hyperspectral, LiDAR, depth, and RGB-D sensors
- Particle-size-aware modelling for Agri-PV soiling and maintenance
- Guest Lecturer — Robotics in Agriculture
- Guest Lecturer — Renewable Energy and Sustainable Energy in Agriculture
- Benchmarking Depth-Sensor 3D Phenotyping of Maize Cobs Against 2D Image and Geometric Methods — CIGR EurAgEng World Congress 2026
- Semi-empirical prediction of dust soiling effects on Agri-PV output power — 2026 research poster
- Detecting phosphorus deficiency in maize plant leaves using hyperspectral imaging — Tropentag 2025
- Automated morphometric quantification of maize cob kernels via lightweight RGB image analysis and Cellpose-based deep learning segmentation — Tropentag 2026 contribution
- EU Open Category A1/A3 UAS online training, valid until 21 August 2029
Python · PyTorch · TensorFlow · OpenCV · Computer Vision · Deep Learning · Thermal Imaging · RGB Imaging · Depth Sensing · Hyperspectral Imaging · LiDAR Sensing · Point Clouds · ROS 2 · RViz · MoveIt 2 · Robotics · RGB Cameras · Thermal Cameras · Hyperspectral Sensors · LiDAR Sensors · Depth / RGB-D Sensors
- Website: tanjim.net
- Google Scholar: Khandoker Tanjim Ahammad
- ResearchGate: Research profile
- LinkedIn: Professional profile
- Email: khandoker.ahammad@uni-hohenheim.de