This paper presents new multilingual corpora from the agricultural domain for seven South African Languages, namely Afrikaans, English, isiXhosa, isiZulu, Sesotho, Sesotho sa Leboa, and Setswana, based on the Pula/Imvula magazine. After pre-processing, the data has been automatically sentencized, tokenized, lemmatized and annotated with part-of-speech information using the services available at https://v-ctx-lnx7.nwu.ac.za/. The final resources comprising between 774k and 1,38M tokens per language are included on the Corpus Cooperative at North-West University (COCO@NWU) corpus platform at https://coco.nwu.ac.za/ as searchable corpora. In addition, the data can be made avail- able as text files for research purposes upon request. To highlight the value of this agricultural domain-specific data collection in relation to more general data, we also include some corpus-based statistics and comparisons with previous research.