no code implementations • 18 Feb 2024 • Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper
In this study, we explore the explainability of neural networks in agriculture and forestry, specifically in fertilizer treatment classification and wood identification.
no code implementations • 18 Jul 2023 • Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani
We have developed a methodology for the systematic generation of a large image dataset of macerated wood references, which we used to generate image data for nine hardwood genera.
1 code implementation • 2 Sep 2021 • Lars Nieradzik, Gerik Scheuermann, Dorothee Saur, Christina Gillmann
The sigmoid activation is the standard output activation function in binary classification and segmentation with neural networks.