diff --git a/thesis/thesis.tex b/thesis/thesis.tex
index b8ec79e..10779af 100644
--- a/thesis/thesis.tex
+++ b/thesis/thesis.tex
@@ -232,8 +232,8 @@ adaption of existing models (transfer learning) for object detection
 to the domain of plant recognition may provide higher performance than
 would otherwise be achievable within the time constraints.
 
-The model will be deployed to the single-board computer and evaluated
-using established and well-known metrics from the field of machine
+The model will be deployed to the \gls{sbc} and evaluated using
+established and well-known metrics from the field of machine
 learning. The evaluation will seek to answer the following questions:
 
 \begin{enumerate}
@@ -303,7 +303,7 @@ The methodological approach consists of the following steps:
 \item \textbf{Optimization}: The selected models will be optimized
   with respect to their parameters.
 \item \textbf{Deployment to \gls{sbc}}: The software prototype will be
-  deployed to the single-board computer.
+  deployed to the \gls{sbc}.
 \item \textbf{Evaluation}: The models will be evaluated extensively
   and compared to other state-of-the-art systems. During evaluation,
   the author seeks to provide a basis for answering the research