معرفی
Gerrit Polder is a Researcher at Wageningen University & Research, affiliated with the Robotics and Automation department (PE&RC). His work focuses on advancing technologies for plant disease detection, spectral imaging, and robotics in agricultural systems. He has contributed to projects such as OPTIMA, which aims to improve disease management in perennial crops and open-field vegetables using integrated pest management and smart camera systems.
His research interests include machine learning applications in agriculture, non-destructive plant phenotyping, and the development of automated systems for crop monitoring. Key areas include spectral imaging for quality assessment, deep learning for disease detection, and 3D plant segmentation techniques.
- PhD supervision: Co-promotor for projects on 4D plant phenotyping, pre-symptomatic disease detection, and machine vision in hydroponic agriculture.
- Key contributions: Over 160+ publications, including patents on 3D plant reconstruction and smart camera systems.
- Affiliations: Active in international collaborations, such as EU-funded OPTIMA, and frequently presents at conferences on spectral imaging and precision agriculture.
Recent work emphasizes the integration of spectral imaging and AI for early disease detection in crops like grape, apple, and carrot, as well as automated quality assessment in tomatoes and kiwifruit. His research bridges robotics, computer vision, and agricultural science to enhance sustainable farming practices.
