*4.3. Limitations and Future Works*

Although the numerical solution described in this study achieved a good performance on both new and old tasks with its continual learning ability, it still has some limitations. The key structure consisted of CNN and GAN. The CNN is relatively easy to implement with a stable performance, while the GAN is usually not stable and hard to train, and indeed requires experience. Besides, the number of sequential tasks is two, namely the crop pest dataset and plant leaf dataset, hence the work at this stage is only primary continual learning in agriculture. In future, we would like to analyze more tasks to develop the robust continual learning model, considering the complex combination of popular technologies in neural networks and information extraction.
