We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Investigation of yield and quality formation processes with spectral methods
Project
Project code: JKI-PB-08-1312
Contract period: 01.01.2021
- 31.12.2022
Purpose of research: Experimental development
The importance of yield and quality formation of agricultural crops under changing climatic conditions and the growth of the earth's population (food security) has become the focus of agricultural research. In this context, synergy effects between site-adapted sustainable cultivation systems and species and varieties adapted through plant breeding are to be increasingly developed. Plant content analysis with spectral methods, especially in the near-infrared range, has a long history in agricultural research. At the Institute of Crop and Soil Science Braunschweig, these methods were used and further developed in research projects for forage evaluation (grasses, maize), evaluation of energy crops (biogas, bioethanol) and food grains (baking wheat). A special focus was the further development of laboratory to atline and online applications in cooperation with industry through corresponding instrument developments. Based on these experiences, the potential of these methods for the investigation of yield and quality formation processes is to be used across research projects in order to non-destructively follow the dynamics of ingredient composition in the process of yield formation in tube and field experiments (FACE). Modern instrument development accommodates this approach (e.g., field-capable, referenceable spectral-imaging systems with short integration times), allowing sufficiently accurate constituent calibrations to distinguish genotypes. But also complex state variables (resilience to stress factors, senescence, etc.) can be investigated by spectral characteristics. The differentiation to spectral remote sensing methods is based on the scale level.
Section overview
Subjects
- Agricultural Engineering Plant Production
- Computer science