Cloud seeding is a technique of weather modification which is used to improve the ability of rainwater production in clouds. This is most commonly done on a specific type of clouds with the highest potential to produce precipitation with additional stimulation called convective clouds. However, cloud seeders may occasionally encounter the common problem of manually classifying the suitable clouds, which takes time and effort in their decision- making process. Hence, automation through artificial intelligence can be used to provide insights on convective clouds classification for seeding. Therefore, this paper discusses on the development of Convolution Neural Network (CNN) and the implementation of the model towards convective cloud classification system and the study shows that CNN was able to effectively classify the cloud images with better accuracy. © 2023 IEEE.