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