Home 9 Publications 9 Combining expert knowledge and neural networks to model environmental stresses in agriculture

Combining expert knowledge and neural networks to model environmental stresses in agriculture

Author: K. Cvejoski, J. Schuecker, A.-K. Mahlein, C. Ojeda, B. Georgiev
Journal: BMC Bioinformatics
Year: 2020

Citation information

K. Cvejoski, J. Schuecker, A.-K. Mahlein, C. Ojeda, B. Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture.
BMC Bioinformatics,
2020,
https://doi.org/10.48550/arXiv.2111.00918

In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses. We first design deterministic expert models which serve as a benchmark and inform the design of flexible neural-network architectures. Finally, a sensitivity analysis of the latter allows a clustering of hybrids into susceptible and resistant ones.