S. Paulus, F. Ispizua, et al.: Using hyperspectral cameras in greenhouses – introduction into data processing and application scenarios

Bio Information

Facundo Ramón Ispizua Yamati is a Doctoral Student at the Institute of Sugar Beet Research in Göttingen. His research interests are 3D and hyperspectral imaging of plants in greenhouse and field, sensor fusion, and machine learning.

Presentation Abstract

Hyperspectral Imaging has become a valid tool for plant phenotyping and, thus, for imaging plants in greenhouses. Nevertheless, hyperspectral imaging is affected by various components as there are camera calibration, the light condition, the data pre-processing, and the way the data is prepared for machine learning algorithms. In this work, the authors show the main application field for using hyperspectral imaging of plants as well as a general workflow describing how hyperspectral data should be processed. The latter helps to establish a high degree of comparability for plant images of different sensor setups.

Authors: Stefan Paulus, Anne-Katrin Mahlein, Facundo Ispizua Yamati & Abel Barreto


Ask the Speaker

You can post your questions for the speaker of this talk here until Nov 8. Your questions are visible to all other registered participants of the conference and will be visible together with your username that consists of the beginning of your email address. Participants can “like” your question. Questions with more like are more likely to be discussed during the live Q&A session on November 10, 2020.