  Image analysis is an essential field for several topics in the life sciences,
such as biology or botany. In particular, the analysis of seeds (e.g. fossil
research) can provide significant information on their evolution, the history
of agriculture, plant domestication and knowledge of diets in ancient times.
This work aims to present software that performs image analysis for feature
extraction and classification from images containing seeds through a novel and
unique framework. In detail, we propose two plugins \emph{ImageJ}, one able to
extract morphological, textual and colour features from seed images, and
another to classify seeds into categories using the extracted features. The
experimental results demonstrated the correctness and validity of both the
extracted features and the classification predictions. The proposed tool is
easily extendable to other fields of image analysis.
