To assess the generalisability of our previously proposed early detection method for Tuta absoluta tomato leaf disease, this study compiled the new TomatoEbola dataset from three Nigerian farms, each with distinct environmental conditions. Using a transfer learning approach with transformer models, the study enhanced the model’s adaptability across different datasets. The results demonstrate the effectiveness of this method on both the TomatoEbola dataset and the widely recognised PlantVillage benchmark.