Computer vision methods in plant phenotyping made great improvements with the introduction of deep learning algorithms and plant monitoring devices. This offers the possibility to study the growth of plants at large scale. It should be noted that a large portion of the research is dedicated to indoor plant cultivation. This is in part due to the challenge of obtaining data in outdoor environment regularly and to the challenge of processing the acquired data. We present an automated way to acquire in-field data as well as the image processing pipeline to extract plant growth data.