Crop mixtures offer multiple advantages over mono-cropping. Newly developed advanced data acquisition and data analysis tools provide new insights into interactions and mechanisms in crop mixtures. This leads to a set of clearly identified, compatible crop partners. The new tools also allow for plants to be optimally allocated in field patches and for novel technologies to maintain such field patches. This results in ideal field sizes, shapes, and settings with regard to the ecosystem, biodiversity, resource use, and resource efficiency.

Research Videos

Gamma Spectrometry and XRFA for Soil Analysis

Gamma Spectrometry and XRFA for Soil Analysis

PhenoRob PhD Student Daniel Pfarr talks about his research within Core Project 5: New Field Arrangements.

Modern Sensing Applications for Analysing Plant Physiology and Interaction in Mixed Cropping

Modern Sensing Applications for Analysing Plant Physiology and Interaction in Mixed Cropping

PhenoRob PhD Student Julie Kraemer talks about her research within Core Project 1 ” 4D Crop Reconstruction” and Core Project 5 “New Field Arrangements”.

Observing and Modelling Crops in Diverse Cropping Systems

Observing and Modelling Crops in Diverse Cropping Systems

PhenoRob Junior Research Group Leader Sabine Seidel talks about her research that she is doing together with her PhD Students Sofia Hadir and Dereje T. Demie within Core Project 5: New Field Arrangements.

Large Field Trials as Platforms to Develop Digital Tools for Intercropping

Large Field Trials as Platforms to Develop Digital Tools for Intercropping

PhenoRob PhD Student Madhuri Paul talks about her research within Core Project 5: New Field Arrangements.

Image-based Crop Growth Prediction

Image-based Crop Growth Prediction

PhenoRob PhD Student Lukas Drees talks about his research within Core Project 5: New Field Arrangements.

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer by L. Drees

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer by L. Drees

This short trailer is based on the following publication: L. Drees, I. Weber, M. Russwurm, and R. Roscher, “Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer,” in DAGM German Conference on Pattern Recognition , 2022, pp. 495-510. doi:https://doi.org/10.1007/978-3-031-16788-1_30 Full text available here: https://link.springer.com/chapter/10.1007/978-3-031-16788-1_30

Mixture X Genotype Effects in Cereal/Legume Intercropping by Demie et al.

Mixture X Genotype Effects in Cereal/Legume Intercropping by Demie et al.

This short trailer is based on the following publication: D. Demie, T. Döring, M. Finckh, W. van der Werf, J. Enjalbert, and S. Seidel, “Mixture X Genotype Effects in Cereal/Legume Intercropping,” Frontiers in Plant Science, vol. 13, 2022. doi:10.3389/fpls.2022.846720 Full text available here: https://www.frontiersin.org/articles/10.3389/fpls.2022.846720/full

Improving Agro-Ecosystem Models to Explore the Dynamics of Newly Diversified Field Arrangements

Improving Agro-Ecosystem Models to Explore the Dynamics of Newly Diversified Field Arrangements

PhenoRob PhD Student Ixchel Hernandez talks about her research within Core Project 5: New Field Arrangements.

Lukas Drees - Temporal Prediction & Evaluation of Brassica Growth in the Field using cGANs (Trailer)

Lukas Drees – Temporal Prediction & Evaluation of Brassica Growth in the Field using cGANs (Trailer)

Watch the full presentation: http://digicrop.de/program/temporal-prediction-and-evaluation-of-brassica-growth-in-the-field-using-conditional-generative-adversarial-networks/